Research/art/teacher profile of a person
Name and surname:
Mgr. Mário Papík, PhD.
Document type:
Research/art/teacher profile of a person
The name of the university:
Comenius University Bratislava
The seat of the university:
Šafárikovo námestie 6, 818 06 Bratislava

I. - Basic information

I.1 - Surname
Papík
I.2 - Name
Mário
I.3 - Degrees
Mgr, PhD.
I.4 - Year of birth
1990
I.5 - Name of the workplace
Faculty of Management, Comenius University, Bratislava
I.6 - Address of the workplace
Odbojárov 10, P.O.BOX 95 820 05 Bratislava 25
I.7 - Position
Researcher - Department of Economics and Finance
I.8 - E-mail address
papik1@uniba.sk
I.9 - Hyperlink to the entry of a person in the Register of university staff
https://www.portalvs.sk/regzam/detail/31932?mode=full
I.10 - Name of the study field in which a person works at the university
Economy and management
I.11 - ORCID iD
0000-0003-2563-7799

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.a - Name of the university or institution
Faculty of Mathemathics, Physics and Informatics, Comenius University, Bratislava
II.b - Year
2012
II.c - Study field and programme
Managerial Mathemathics
II.2 - Second degree of higher education
II.a - Name of the university or institution
Faculty of Mathemathics, Physics and Informatics, Comenius University, Bratislava
II.b - Year
2014
II.c - Study field and programme
Managerial Mathemathics
II.3 - Third degree of higher education
II.a - Name of the university or institution
Faculty of Management, Comenius University, Bratislava
II.b - Year
2017
II.c - Study field and programme
Business management
II.4 - Associate professor
II.5 - Professor
II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

III.a - Occupation-position III.b - Institution III.c - Duration
Researcher Faculty of Management, Comenius University, Bratislava 1.12.2019 – current

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes
V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year
V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year
V.4 - Overview of supervised final theses
V.4.1 - Number of currently supervised theses
V.4.a - Bachelor's (first degree)
5
V.4.b - Diploma (second degree)
7
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
17
V.4.b - Diploma (second degree)
13
V.5 - Overview of other courses taught in the current academic year according to study programmes
V.5.a - Name of the course V.5.b - Study programme V.5.c - Degree V.5.d - Field of study
Bachelor thesis project Management, International Management I. Economy and Management
Master thesis course I. Management II. Economy and Management
Master thesis course II. Management II. Economy and Management
Master thesis project Management II. Economy and Management

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations
VI.1.1 - Number of the research/artistic/other outputs
VI.1.a - Overall
32
VI.1.b - Over the last six years
32
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
21
VI.1.b - Over the last six years
21
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
187
VI.1.b - Over the last six years
155
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
107
VI.1.b - Over the last six years
91
VI.1.5 - Number of invited lectures at the international, national level
VI.2 - The most significant research/artistic/other outputs
1

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2023). Impacts of crisis on SME bankruptcy prediction models performance, In: Expert Systems with Applications. Vol. 214, pp. 1-17, art. no. 119072.

Indexed WOS, Q1, IF (SCOPUS) 2021 = 8,665

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2021 = 2,985


2

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2022). Detecting accounting fraud in companies reporting under US GAAP through data mining, In: International journal of accounting information systems. Vol. 45, pp. 1-19, art. no. 100559.

Indexed WOS, Q1, IF (SCOPUS) 2021 = 5,111

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2021 = 1,516


3

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2024) Gender diversity of board of directors and shareholders : machine learning exploration during COVID-19 In: Gender in Management, Vol. 39(3), pp. 345-369.

Indexed WOS, Q1, IF (SCOPUS) 2023 = 2,3

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2020 = 1,451

4

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2024). Application of intellectual capital in SME bankruptcy, In: Applied Economics, Vol. 56(55), pp. 7317-7338.

Indexed WOS, Q2, IF (SCOPUS) 2023 = 1,8

Indexed SCOPUS, Q2, SNIP (SCOPUS) 2023 = 0,9

5

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2022). Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises, In: Equilibrium, Vol. 29(4), pp. 254-281.

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2022 = 1,118

VI.3 - The most significant research/artistic/other outputs over the last six years
1

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2023). Impacts of crisis on SME bankruptcy prediction models performance, In: Expert Systems with Applications. Vol. 214, pp. 1-17, art. no. 119072.

Indexed WOS, Q1, IF (SCOPUS) 2021 = 8,665

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2021 = 2,985


2

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2022). Detecting accounting fraud in companies reporting under US GAAP through data mining, In: International journal of accounting information systems. Vol. 45, pp. 1-19, art. no. 100559.

Indexed WOS, Q1, IF (SCOPUS) 2021 = 5,111

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2021 = 1,516


3

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2024) Gender diversity of board of directors and shareholders : machine learning exploration during COVID-19 In: Gender in Management, Vol. 39(3), pp. 345-369.

Indexed WOS, Q1, IF (SCOPUS) 2023 = 2,3

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2020 = 1,451

4

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2024). Application of intellectual capital in SME bankruptcy, In: Applied Economics, Vol. 56(55), pp. 7317-7338.

Indexed WOS, Q2, IF (SCOPUS) 2023 = 1,8

Indexed SCOPUS, Q2, SNIP (SCOPUS) 2023 = 0,9

5

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2022). Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises, In: Equilibrium, Vol. 29(4), pp. 254-281.

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2022 = 1,118

VI.4 - The most significant citations corresponding to the research/artistic/other outputs
1

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2023). Impacts of crisis on SME bankruptcy prediction models performance, In: Expert Systems with Applications. Vol. 214, pp. 1-17, art. no. 119072.

Indexed WOS, Q1, IF (SCOPUS) 2021 = 8,665

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2021 = 2,985

 

Citation:

[n1] 2024 ~ Mattos, Eduardo da Silva - Shasha, Dennis. Bankruptcy prediction with low-quality financial information [elektronický dokument]. DOI 10.1016/j.eswa.2023.121418 In: Expert Systems with Applications: An International Journal. Oxford: Elsevier. Pergamon Press, 2024, Roč. 237, art. no. 121418, s. 1-13. ISSN 0957-4174. ISSN (online) 1873-6793. - WOS CC ; SCIE ; CCC ; SCO, s. 13

[n1] 2024 ~ Qin, Meng - Zhu, Yujie - Xie, Xin - Shao, Xuefeng - Lobonţ, Oana Ramona. The impact of climate risk on technological progress under the fourth industrial era [elektronický dokument]. DOI 10.1016/j.techfore.2024.123325 In: Technological forecasting and social change. Amsterdam: Elsevier, 2024, Roč. 202, art. no. 123325, s. 1-9. ISSN 0040-1625. ISSN (online) 1873-5509. - SCO ; CCC ; WOS CC ; SSCI, s. 8

[n1] 2024 ~ Lu, Dening - Schwartz, Shimon - Xu, Linlin - Shafiee, Mohammad Javad - Vinson, Norman G. - Czarnecki, Krzysztof J. - Wong, Alexander. Integrating deep transformer and temporal convolutional networks for SMEs revenue and employment growth prediction. DOI 10.1016/j.eswa.2024.124129 In: Expert Systems with Applications: An International Journal. Oxford: Elsevier. Pergamon Press, 2024, Roč. 252, art. no. 124129, s. 1-11. ISSN 0957-4174. ISSN (online) 1873-6793. - SCO ; CCC ; WOS CC ; SCIE, s. 11

[n1] 2024 ~ Amirshahi, Bahareh - Lahmiri, Salim. Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data. DOI 10.1111/exsy.13599 In: Expert systems. New Yersey: John Wiley & Sons, 2024, Roč. 41, č. 8, art. no. e13599, s. 1-25. ISSN 0266-4720. ISSN (online) 1468-0394. - SCO ; CCC ; WOS CC ; SCIE, s. 24

[n1] 2023 ~ Gao, Xiaoxue. Digital transformation in finance and its role in promoting financial transparency. DOI 10.1016/j.gfj.2023.100903 In: Global finance journal. Amsterdam: Elsevier, 2023, Roč. 58, art. no. 100903, s. 1-9. ISSN 1044-0283. - WOS CC ; SSCI ; SCO ; CCC, s. 8

2

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2022). Detecting accounting fraud in companies reporting under US GAAP through data mining, In: International journal of accounting information systems. Vol. 45, pp. 1-19, art. no. 100559.

Indexed WOS, Q1, IF (SCOPUS) 2021 = 5,111

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2021 = 1,516

 

Citation:

[n1] 2024 ~ Aros, Ludivia Hernandez - Molano, Luisa Ximena Bustamante - Gutierrez-Portela, Fernando - Hernandez, John Johver Moreno - Barrero, Mario Samuel Rodriguez. Financial fraud detection through the application of machine learning techniques: a literature review. DOI 10.1057/s41599-024-03606-0 In: Humanities & social sciences communications. Londýn: Springer Nature, 2024, Roč. 11, č. 1, art. no. 1130 , s. 1-22. ISSN (online) 2662-9992. - WOS CC ; CCC ; SCO ; SSCI ; AHCI, s. 21

[n1] 2024 ~ Zhou, Ying - Xiao, Zhi - Gao, Ruize - Wang, Chang. Using data-driven methods to detect financial statement fraud in the real scenario. DOI 10.1016/j.accinf.2024.100693 In: International journal of accounting information systems. Amsterdam: Elsevier, 2024, Roč. 54, art. no. 100693, s. 1-16 [online]. ISSN 1467-0895. ISSN (online) 1873-4723. - WOS CC ; SSCI ; CCC ; SCO, s. 16

[n1] 2024 ~ Liaras, Evangelos - Nerantzidis, Michail - Alexandridis, Antonios. Machine learning in accounting and finance research: a literature review. DOI 10.1007/s11156-024-01306-z In: Review of quantitative finance and accounting. New York: Springer Nature, 2024, Roč. 63, č. 4, s. 1431-1471. ISSN 0924-865X. ISSN (online) 1573-7179. - SCO ; WOS CC ; ESCI, s. 1469

[n1] 2024 ~ Murphy, Brid - Feeney, Orla - Rosati, Pierangelo - Lynn, Theo. Exploring accounting and AI using topic modelling. DOI 10.1016/j.accinf.2024.100709 In: International journal of accounting information systems. Amsterdam: Elsevier, 2024, Roč. 55, art. no. 100709, s. 1-18. ISSN 1467-0895. ISSN (online) 1873-4723. - WOS CC ; CCC ; SCO ; SSCI, s. 17

[n1] 2024 ~ Lokanan, Mark Eshwar - Ramzan, Sana. Predicting financial distress in TSX-listed firms using machine learning algorithms. DOI 10.3389/frai.2024.1466321 In: Frontiers in Artificial Intelligence. Lausanne: Frontiers Media, 2024, Roč. 7, art. no. 1466321, s. 1-19. ISSN (online) 2624-8212. - WOS CC ; ESCI ; SCO, s. 1 - 19

3

ADM Papík, Mário (51%) - Papíková, Lenka (49%), (2020). Detection models for unintentional financial restatements, In: Journal of Business Economics and Management, Vol. 21(1), pp. 64-86.

Indexed WOS, Q2, IF (SCOPUS) 2020 = 2,028

Indexed SCOPUS, Q2, SNIP (SCOPUS) 2020 = 1,064

 

Citation:

[n1] 2023 ~ Shahana, T. - Lavanya, Vilvanathan - Bhat, Aamir Rashid: State of the art in financial statement fraud detection: a systematic review. In: Technological forecasting and social change, vol. 192, 2023, art. no. 122527, s. 23 --SCOPUS ; SSCI

[o1] 2021 ~ Jan, Chyan-Long: Detection of financial statement fraud using deep learning for sustainable development of capital markets under information asymmetry. In: Sustainability, vol. 13, iss. 17, 2021, art. no. 9879, s. 19 -- SCIE ; SSCI; SCOPUS

[o1] 2021 ~ Hamal, Serhan - Senvar, Ozlem: Comparing performances and effectiveness of machine learning classifiers in detecting financial accounting fraud for Turkish SMEs. In: International journal of computational intelligence systems, vol.14, iss. 1, 2021, s. 782 – SCIE

[o1] 2021 ~ Lehenchuk, Serhii - Mostenska, Tetiana - Tarasiuk, Halyna - Polishchuk, Iryna - Gorodysky, Mykola: Financial statement fraud detection of Ukrainian corporations on the basis of Beneish model. In: The importance of new technologiesand entrepreneurship in business development. Cham : Springer Nature, 2021, S. 1356 -- SCOPUS

[o1] 2020 ~ An, Byungdae - Suh, Yongmoo: Identifying financial statement fraud with decision rules obtained from Modified Random Forest. In: Data Technologies and Applications, vol. 54, iss. 2, 2020, s. 235-255 -- SCIE ; SSCI

4

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2022). Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises, In: Intelligent systems in accounting, finance and management. Vol. 29(4), pp. 254-281.

Indexed WOS

Indexed SCOPUS, Q1, SNIP (SCOPUS) 2022 = 1,118

 

Citation:

[n1] 2024 ~ Beade, Ángel - Rodríguez, Manuel - Santos, José. Variable selection in the prediction of business failure using genetic programming. DOI 10.1016/j.knosys.2024.111529 In: Knowledge-Based Systems. Amsterdam: Elsevier, 2024, Roč. 289, art. no. 111529, s. 1-16. ISSN 0950-7051. ISSN (online) 1872-7409. - SCO, s. 15

[n1] 2024 ~ Dasilas, Apostolos - Rigani, Anna. Machine learning techniques in bankruptcy prediction: a systematic literature review. DOI 10.1016/j.eswa.2024.124761 In: Expert Systems with Applications: An International Journal. Oxford: Elsevier. Pergamon Press, 2024, Roč. 255, art. no. 124761, s. 1-22. ISSN 0957-4174. ISSN (online) 1873-6793. - SCO ; CCC ; WOS CC ; SCIE, s. 21

[n1] 2024 ~ Kuizinienė, Dovilė - Savickas, Paulius - Kunickaitė, Rimantė - Juozaitienė, Rūta - Damasevicius, Robertas - Maskeliunas, Rytis - Krilavičius, Tomas. A comparative study of feature selection and feature extraction methods for financial distress identification. DOI 10.7717/PEERJ-CS.1956 In: PeerJ. Computer science. San Diego: Peerj INC, 2024, Roč. 10, e1956, s. 1-44. ISSN (online) 2376-5992. - SCO ; CCC ; WOS CC ; SCIE, s. 41

[n1] 2023 ~ Wagdi, Osama - Salman, Eman - Albanna, Hatem. Integration between technical indicators and artificial neural networks for the prediction of the exchange rate: evidence from emerging economies. DOI 10.1080/23322039.2023.2255049 In: Cogent Economics and Finance. Londýn: Taylor & Francis Group, 2023, Roč. 11, č. 2, art. no. 2255049, s. 1-27. ISSN (online) 2332-2039. - SCO ; WOS CC ; ESCI, s. 27

[n1] 2023 ~ Beade, Ángel - Rodríguez, Manuel - Santos, José. Evolutionary feature selection approaches for insolvency business prediction with genetic programming. DOI 10.1007/s11047-023-09951-4 In: Natural computing. Dordrecht: Springer, 2023, Roč. 22, č. 4, s. 705-722. ISSN 1567-7818. ISSN (online) 1572-9796. - SCO ; CCC ; WOS CC ; SCIE, s. 722

5

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2022) Intellectual capital and its impacts on SMEs profitability during COVID-19 pandemic, In: Journal of Eastern European and Central Asian Research, Vol. 9(3). pp. 521-531.

Indexed WOS

Indexed SCOPUS, Q3, SNIP (SCOPUS) 2021 = 0,91


Citation:

[n1] 2022 ~ Zeng, Huiling - Li, Rita Yi Man - Zeng, Liyun: Evaluating green supply chain performance based on ESG and financial indicators. In: Frontiers in environmental science, vol. 10, 2022, art. no. 982828, s. 12 -- SCIE ; SCOPUS

[n1] 2022 ~ Kaliyeva, Saule - Baisalova, Botakoz - Nathan, Jay: Managing formation of competitive human capital in project-oriented companies. In: Journal of Eastern European and Central Asian research, vol. 9, no. 6, 2022, s. 1006 -- ESCI; SCOPUS

[n1] 2022 ~ Rustiarini, Ni Wayan - Bhegawati, Desak Ayu Sriary - Mendra, Ni Putu Yuria: Intellectual capital and financial performance: the mediating effect of sustainability performance. In: International journal of management andsustainability, vol. 11, no. 4, 2022, s.232 -- SCOPUS

[n1] 2023 ~ Colvin, Randy G. - Delcoure, Natalya - Krueger, Thomas M. - Singh, Harmeet: A comparison of business student perceptions in Kazakhstan and the United States regarding ways to enhance the online learning process. In: Journal ofEastern European and Central Asian research, vol. 10, iss. 2, 2023, s. 262 -- SCOPUS

[n1] 2023 ~ Slavković, Marko - Ognjanović, Jasmina - Bugarčić, Marijana: Sustainability of human capital efficiency in the hotel industry: panel data evidence. In: Sustainability, vol. 15, iss. 3, 2023, art. no. 2268, s. 13 -- SCIE ; SSCI ;SCOPUS

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years
1

VEGA 1/0361/24 - Automated Machine Learning Application in Prediction of Companies´ Financial Health – principal investigator

2

VEGA 1/0393/21 - Impact Analysis of Restrictive Measures and Government Aid Associated with Coronavirus on Financial Health of Small and Medium-Sized Enterprises in Slovakia – principal investigator

3

APVV-20-0012 - EU Green Recovery in the post-Covid-19 Period - investigator

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts

IX.a - If relevant, other activities related to higher education or research/artistic/other activities are mentioned

Projects six years ago –

Grant UK/165/2017 - Analýza investičného majetku vo finančnom sektore

Grant UK/69/2016 - Vplyv investičných produktov na ekonomickú pridanú hodnotu vo finančných inštitúciách

Grant UK/291/2015 - Analýza vplyvu investičných produktov na hospodárenie finančných inštitúcií

 

h-index (Scopus):

6

h-index (WoS):

5

Date of last update
2025-02-12