David Veganzones

422 citations
15 papers · 299 indexed · h-index 7
Topics
Financial Distress and Bankruptcy Prediction (10 papers)Auditing, Earnings Management, Governance (6 papers)Imbalanced Data Classification Techniques (5 papers)

In The Last Decade

David Veganzones

13 papers receiving 291 citations

Peers

David Veganzones
Comparison fields: 5 of 44
  • Accounting 224
  • Artificial Intelligence 150
  • Finance 62
  • Management Science and Operations Research 46
  • Strategy and Management 44
Replace Dušan Mramor with:
Dušan Mramor Slovenia
Elena Dumitrescu France
Jae H. Min South Korea
Sullivan Hué France
Niklas Bussmann Italy
Serpil Çanbaş Türkiye
Ismael G. Dambolena United States
Hongkyu Jo South Korea
Charles E. Mossman Canada
Ryan Williams United States
David Veganzones relative to Dušan Mramor Slovenia Dušan Mramor's profile →
Citations per field
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Dušan Mramor · 1×
Citations per year

Countries citing papers authored by David Veganzones

Since Specialization
Citations

This map shows the geographic impact of David Veganzones'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 David Veganzones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Veganzones more than expected).

Fields of papers citing papers by David Veganzones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Veganzones. 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 David Veganzones. The network helps show where David Veganzones may publish in the future.

Co-authorship network of co-authors of David Veganzones

This figure shows the co-authorship network connecting the top 25 collaborators of David Veganzones. A scholar is included among the top collaborators of David Veganzones 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 David Veganzones. David Veganzones is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 0
3 3
4 22
5 4
6 11
7 23
8 43
9 134
10 30
11 1
12 5
13 15
14
ELM Clustering – Application to Bankruptcy Prediction
2
15 5

About David Veganzones

David Veganzones is a scholar working on Accounting, Artificial Intelligence and Management Science and Operations Research, having authored 15 papers that have together received 299 indexed citations. Recurring topics across this work include Financial Distress and Bankruptcy Prediction (10 papers), Auditing, Earnings Management, Governance (6 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Accounting (224 citations), Finance (62 citations) and Artificial Intelligence (150 citations). David Veganzones has collaborated with scholars based in France, Finland and United States. Frequent co-authors include Éric Séverin, Philippe du Jardin, Yoan Miché, Amaury Lendasse, Anton Akusok, Xavier Brédart, Kaj-Mikael Björk and Maite Termenón. Their work appears in journals such as Neurocomputing, Decision Support Systems and International Journal of Forecasting.

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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