Meno a priezvisko:
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Mgr. Mário Papík, PhD.
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Typ dokumentu:
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Vedecko/umelecko-pedagogická charakteristika osoby
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Názov vysokej školy:
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Univerzita Komenského v Bratislave
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Sídlo vysokej školy:
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Šafárikovo námestie 6, 818 06 Bratislava
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III.a - Zamestnanie-pracovné zaradenie | III.b - Inštitúcia | III.c - Časové vymedzenie |
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Výskumný pracovník – výskumník | Fakulta managementu, Univerzity Komenského v Bratislave | 1.12.2019 – súčasnosť |
V.5.a - Názov predmetu | V.5.b - Študijný program | V.5.c - Stupeň | V.5.d - Študijný odbor |
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Projekt bakalárskej práce | Manažment, Medzinárodný manažment | I. | Ekonómia a manažment |
Diplomový seminár I | Manažment | II. | Ekonómia a manažment |
Diplomový seminár II | Manažment | II. | Ekonómia a manažment |
Diplomový projekt | Manažment | II. | Ekonómia a manažment |
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.
Časopis WOS, Q1, IF (SCOPUS) 2021 = 8,665
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2021 = 2,985
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.
Časopis WOS, Q1, IF (SCOPUS) 2021 = 5,111
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2021 = 1,516
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.
Časopis WOS, Q1, IF (SCOPUS) 2023 = 2,3
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2020 = 1,451
V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2024). Application of intellectual capital in SME bankruptcy, In: Applied Economics, Vol. 56(55), pp. 7317-7338.
Časopis WOS, Q2, IF (SCOPUS) 2023 = 1,8
Časopis SCOPUS, Q2, SNIP (SCOPUS) 2023 = 0,9
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.
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2022 = 1,118
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.
Časopis WOS, Q1, IF (SCOPUS) 2021 = 8,665
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2021 = 2,985
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.
Časopis WOS, Q1, IF (SCOPUS) 2021 = 5,111
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2021 = 1,516
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
V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2024). Application of intellectual capital in SME bankruptcy, In: Applied Economics, Vol. 56(55), pp. 7317-7338.
Časopis WOS, Q2, IF (SCOPUS) 2023 = 1,8
Časopis SCOPUS, Q2, SNIP (SCOPUS) 2023 = 0,9
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.
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2022 = 1,118
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.
Časopis WOS, Q1, IF (SCOPUS) 2021 = 8,665
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2021 = 2,985
Ohlasy:
[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
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.
Časopis WOS, Q1, IF (SCOPUS) 2021 = 5,111
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2021 = 1,516
Ohlasy:
[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
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.
Časopis WOS, Q2, IF (SCOPUS) 2020 = 2,028
Časopis SCOPUS, Q2, SNIP (SCOPUS) 2020 = 1,064
Ohlasy:
[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
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.
Časopis WOS
Časopis SCOPUS, Q1, SNIP (SCOPUS) 2022 = 1,118
Ohlasy:
[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
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.
Časopis WOS
Časopis SCOPUS, Q3, SNIP (SCOPUS) 2021 = 0,91
Ohlasy:
[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
VEGA 1/0361/24 - Aplikácia automatizovaného strojového učenia pri analýze finančného zdravia podnikov – hlavný riešiteľ
VEGA 1/0393/21 - Analýza dopadov reštrikčných opatrení a vládnej pomoci spojenej s koronavírusom na finančné zdravie malých a stredných podnikov na Slovensku – hlavný riešiteľ
APVV-20-0012 - Zelená obnova EÚ v období po Covid-19 - člen riešiteľského kolektívu
Riešené projekty za obdobie viac ako šesť rokov – informácie o projektoch viď. VI.5.
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