Mária Kováčová

1.1k citations
43 papers · 794 indexed · h-index 14
Topics
Financial Reporting and Valuation Research (11 papers)Financial Distress and Bankruptcy Prediction (10 papers)Impact of AI and Big Data on Business and Society (7 papers)
Journals
SHILAP Revista de lepidopterologíaSustainabilityEuropean Journal of Innovation Management
Partner nations
SlovakiaRomaniaCzechia

In The Last Decade

Mária Kováčová

41 papers receiving 768 citations

Peers

Mária Kováčová
Comparison fields: 5 of 96
  • Accounting 313
  • Strategy and Management 242
  • Economics and Econometrics 209
  • Management Science and Operations Research 147
  • Management, Monitoring, Policy and Law 83
Replace Nataļja Lāce with:
Nataļja Lāce Latvia
Alexandros Garefalakis Greece
Jakub Horák Czechia
Anette Mikes United Kingdom
Muhammad Kashif Shad Malaysia
Grzegorz Zimon Poland
Charles T. Horngren United States
Jerome Geyer‐Klingeberg Germany
Haiyue Liu China
Umar Nawaz Kayani United Arab Emirates
Mária Kováčová relative to Nataļja Lāce Latvia Nataļja Lāce's profile →
Citations per field
00.5×1.5×2.4×
Nataļja Lāce · 1×
Citations per year

Countries citing papers authored by Mária Kováčová

Since Specialization
Citations

This map shows the geographic impact of Mária Kováčová's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mária Kováčová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mária Kováčová more than expected).

Fields of papers citing papers by Mária Kováčová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mária Kováčová. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mária Kováčová. The network helps show where Mária Kováčová may publish in the future.

Co-authorship network of co-authors of Mária Kováčová

This figure shows the co-authorship network connecting the top 25 collaborators of Mária Kováčová. A scholar is included among the top collaborators of Mária Kováčová based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mária Kováčová. Mária Kováčová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 6
3 7
4 1
5 5
6 8
7 1
8 17
9 0
10 122
11 104
12 5
13 5
14 1
15 2
16 2
17 108
18 3
19 4
20
LOGISTIC REGRESSION AS A TOOL FOR DETERMINATION OF THE PROBABILITY OF DEFAULT FOR ENTERPRISES
0

About Mária Kováčová

Mária Kováčová is a scholar working on Accounting, Strategy and Management and Marketing, having authored 43 papers that have together received 794 indexed citations. Recurring topics across this work include Financial Reporting and Valuation Research (11 papers), Financial Distress and Bankruptcy Prediction (10 papers) and Impact of AI and Big Data on Business and Society (7 papers). The work is most often cited by research in Accounting (313 citations), Strategy and Management (242 citations) and Management Science and Operations Research (147 citations). Mária Kováčová has collaborated with scholars based in Slovakia, Romania and Czechia. Frequent co-authors include Tomáš Klieštik, Katarína Valášková, George Lăzăroiu, Jaromír Vrbka, Jana Klieštiková, Elvira Nica, Pavol Ďurana, Judit Oláh, Zoltán Lakner and József Popp. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and European Journal of Innovation Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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