Research/art/teacher profile of a person
Name and surname:
Mgr. Lenka Papíková, 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
Papíková
I.2 - Name
Lenka
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
Associate professor at the Department of Economics and Finance
I.8 - E-mail address
lenka.papikova@fm.uniba.sk
I.9 - Hyperlink to the entry of a person in the Register of university staff
https://www.portalvs.sk/regzam/detail/30850?mode=full
I.10 - Name of the study field in which a person works at the university
Economics and management
I.11 - ORCID iD
0000-0001-6525-6769

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.a - Name of the university or institution
Faculty of Management, Comenius University Bratislava
II.b - Year
2013
II.c - Study field and programme
Management
II.2 - Second degree of higher education
II.a - Name of the university or institution
Faculty of Management, Comenius University Bratislava
II.b - Year
2015
II.c - Study field and programme
Management
II.3 - Third degree of higher education
II.a - Name of the university or institution
Faculty of Management, Comenius University Bratislava
II.b - Year
2018
II.c - Study field and programme
Corporate 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
Associate professor – 100% Faculty of Management, Comenius University Bratislava September 2025 - present
Assistant professor – 100% Faculty of Management, Comenius University Bratislava September 2020 - August 2025
Assistant professor – 90% Faculty of Management, Comenius University Bratislava 15.2.2020 – 30.6.2020
Assistant professor – 50% Faculty of Management, Comenius University Bratislava 23.9.2019 – 14.2.2020
Employee performing higher-education teaching activities outside an employment relationship Faculty of Management, Comenius University Bratislava 1.3.2019 – 30.6.2020
Senior Financial Analyst IBM Corporation 2014 - 2023

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

IV.a - Activity description, course name, other IV.b - Name of the institution IV.c - Year
State language exam - English C1 State language school 2011
Trusted Business Advisor IBM 2017
Lean Six Sigma, green belt IBM 2018
Agile Design Workshop IBM 2019

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.1.a - Name of the profile course V.1.b - Study programme V.1.c - Degree V.1.d - Field of study
Principles of Financial Accounting I All Bc. Economy and management
Principles of Financial Accounting II All Bc. Economics and management
Taxation All Bc. Economics and management
Managerial Accounting all Mgr. Economics and management
Financial accounting All Mgr. Economics and management
International Financial Reporting Standards all Bc. Economics and management
Financial accounting and taxation all Mgr. Economics and management
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)
9
V.4.b - Diploma (second degree)
8
V.4.2 - Number of defended theses
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
International Financial Reporting Standards All Bc. Economics 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
36
VI.1.b - Over the last six years
23
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
18
VI.1.b - Over the last six years
17
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
297
VI.1.b - Over the last six years
276
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
194
VI.1.b - Over the last six years
184
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
5
VI.1.b - Over the last six years
5
VI.2 - The most significant research/artistic/other outputs
1

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2026). Similarity failure proximity score: a network-based metric for bankruptcy prediction. In: Finance Research Letters, Vol. 94, art. no. 109631, pp. 1–19.

Indexed WOS, Q1, IF 2024 = 6,9

Indexed SCOPUS, Q1, SNIP 2024 = 1,918

2

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2025). The possibilities of using AutoML in bankruptcy prediction: case of Slovakia. In: Technological Forecasting and Social Change, Vol. 215, art. no. 124098, pp. 1–20.

Indexed WOS, Q1, IF 2024 = 13,3

Indexed SCOPUS, Q1, SNIP 2024 = 3,255

3

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

4

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

5

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

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

V3 Papíková, Lenka (50%) - Papík, Mário (50%), (2026). Similarity failure proximity score: a network-based metric for bankruptcy prediction. In: Finance Research Letters, Vol. 94, art. no. 109631, pp. 1–19.

Indexed WOS, Q1, IF 2024 = 6,9

Indexed SCOPUS, Q1, SNIP 2024 = 1,918

2

V3 Papík, Mário (50%) - Papíková, Lenka (50%), (2025). The possibilities of using AutoML in bankruptcy prediction: case of Slovakia. In: Technological Forecasting and Social Change, Vol. 215, art. no. 124098, pp. 1–20.

Indexed WOS, Q1, IF 2024 = 13,3

Indexed SCOPUS, Q1, SNIP 2024 = 3,255

3

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

4

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

5

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

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

V3.  Papíková, L., Papík, M. (2023): Gender diversity of board of directors and shareholders: Machine learning exploration during COVID-19, Gender in Management, Vol. ahead-of-print No. ahead-of-print. Indexované v:   WOS (current content) JCR Q1, IF 2022 = 3,7, SCOPUS, Q1, SNIP 2022 = 1,458

[n1] Melia-Marti, E., Tormo-Carbo, G., & Fernandez-Guadano, J.: Board gender diversity and employee productivity. The moderating role of female leaders. In: European Research on Management and Business Economics. 2024, roč. 30, č. 3, s. 1-9 doi:10.1016/j.iedeen.2024.100257. Indexované: Scopus, WoS, Current Content Connect

2

V3. Papík, M., Papíková, L. (2023): Impacts of crisis on SME bankruptcy prediction models performance. Expert Systems with Applications, Vol. 214, p. 1-17, art. no. 119072 [print]. - ISSN (print) 0957-4174 Indexované v:   WOS (current content) JCR Q1, IF 2021 = 8,665 SCOPUS, Q1, SNIP 2021 = 2,985

[n1] Gao, X.: Digital transformation in finance and its role in promoting financial transparency. DOI 10.1016/j.gfj.2023.100903 In: Global finance journal. 2023, roč. 58, s. 1-9. doi:10.1016/j.gfj.2023.100903. Indexované: Scopus, WoS, Current Content Connect

3

V3. Papík, M., Papíková, L. (2022): Detecting accounting fraud in companies reporting under US GAAP through data mining. International Journal of Accounting Information Systems, Vol. 45, p. 1-19, art. no. 100559 [online]. - ISSN (online) 1873-4723 Indexované v:   WOS (current content) JCR Q1, IF 2021 = 5,111 SCOPUS, Q1, SNIP 2021 = 1,516

[n1] Ludivia H., Molano, L.X.B., Gutierrez-Portela, F., Hernandez, J.J.M. & Barrero, M.S.R.: Financial fraud detection through the application of machine learning techniques: a literature review. In: Humanities & social sciences communications, 2024, roč. 11, č. 1, s. 1-22. doi:10.1057/s41599-024-03606-0. Indexované: Scopus, WoS, Current Content Connect

4

V3. Papíková, L., Papík, M. (2022): Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises. Intelligent Systems in Accounting, Finance and Management, Vol. 29 (4), pp. 254-281 [online]. - ISSN (print) 1550-1949 Indexované v:   WOS SCOPUS, Q1, SNIP 2021 = 1,870

[n1] Dasilas, A., & Rigani, A.: Machine learning techniques in bankruptcy prediction. In: Expert Systems with Applications, 2024, roč. 255, s. 1-22. doi:10.1016/j.eswa.2024.124761. Indexované: Scopus, WoS, Current Content Connect

5

V3. Papík, M., Papíková, L. (2023): Impacts of crisis on SME bankruptcy prediction models performance. Expert Systems with Applications, Vol. 214, p. 1-17, art. no. 119072 [print]. - ISSN (print) 0957-4174 Indexované v:   WOS (current content) JCR Q1, IF 2021 = 8,665 SCOPUS, Q1, SNIP 2021 = 2,985

[n1] Mattos, E.S., & Shasha, D.: Bankruptcy prediction with low-quality financial information. In: Expert Systems with Applications, 2024, roč. 237, s. 1-13. doi:10.1016/j.eswa.2023.121418. Indexované: Scopus, WoS, Current Content Connect

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

VEGA 1/0080/26 – The Use of Network Analysis Based on Relational Information between Companies in Predicting Their Financial Health - Principal Investigator

2

VEGA 1/0361/24 Application of Automated Machine Learning in the Analysis of Companies’ Financial Health - Deputy Principal Investigator

3

VEGA 1/0393/21 - Analysis of the Impact of Restrictive Measures and Government Aid Related to the Coronavirus Pandemic on the Financial Health of Small and Medium-Sized Enterprises in Slovakia - Co-Investigator

4

NextGenerationEU project led by Juraj Dobrila University of Pula: UI-INFINE – Development of an AI-Supported Model Based on Financial and Non-Financial Sustainability Information - Co-Investigator

5

Internal Call of the Warsaw School of Economics (SGH): RIDTEAM25 – Assurance Incorporated Automated Machine Learning Application in the Prediction of Corporate Bankruptcy - Co-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

VIII.a - Name of the institution VIII.b - Address of the institution VIII.c - Duration (indicate the duration of stay) VIII.d - Mobility scheme, employment contract, other (describe)
Mendel University Brno 16.10.-20.10.2023 STA
University of Trieste Trieste, IT 20.11-24.11.2023 STA
Juraj Dobrila University of Pula Pula, Croatia 27.5 - 31.5.2024 STA
University of Rijeka Rijeka, Croatia 21.10-25.10.2024 STA
Juraj Dobrila University of Pula Pula, Croatia 19.-23.5.2025 STA
Juraj Dobrila University of Pula Pula, Croatia 8.-12.6.2026 STA

IX. - Other relevant facts

Date of last update
2026-09-17