Gyula Pap
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
- Finance 44
- Stochastic processes and financial applications 36
- Financial Risk and Volatility Modeling 20
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- Stochastic processes and statistical mechanics 22
- advanced mathematical theories 12
- Co-authors
- Mátyás Barczy (27 shared papers)M.C.A. van Zuijlen (23 shared papers)Márton Ispány (10 shared papers)Yaozhong Hu (1 shared paper)Salah-Eldin A. Mohammed (1 shared paper)Zenghu Li (5 shared papers)Sándor Baran (11 shared papers)Herbert Heyer (6 shared papers)
- Journals
- Computers & Mathematics with Applications (9 papers)Journal of Multivariate Analysis (6 papers)Journal of Theoretical Probability (5 papers)Mathematical Programming (4 papers)Advances in Applied Probability (4 papers)
- Partner nations
- HungaryNetherlandsGermany
In The Last Decade
Gyula Pap
103 papers receiving 631 citations
Peers
Comparison fields: 5 of 57
- Finance 351
- Mathematical Physics 218
- Statistics and Probability 189
- Computational Theory and Mathematics 116
- Management Science and Operations Research 77
Countries citing papers authored by Gyula Pap
This map shows the geographic impact of Gyula Pap'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 Gyula Pap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyula Pap more than expected).
Fields of papers citing papers by Gyula Pap
This network shows the impact of papers produced by Gyula Pap. 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 Gyula Pap. The network helps show where Gyula Pap may publish in the future.
Co-authors
The 25 scholars most cited alongside Gyula Pap, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 100 | |
| 2 | 2005 | 40 | |
| 3 | 2010 | 27 | |
| 4 | 2015 | 24 | |
| 5 | 2006 | 19 | |
| 6 | 2014 | 17 | |
| 7 | 2005 | 16 | |
| 8 | 2007 | 16 | |
| 9 | 2011 | 15 | |
| 10 | 2006 | 15 | |
| 11 | 2010 | 14 | |
| 12 | 2007 | 14 | |
| 13 | 2011 | 14 | |
| 14 | 2001 | 12 | |
| 15 | 2003 | 11 | |
| 16 | 2004 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 1994 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 1999 | 8 |
About Gyula Pap
Gyula Pap is a scholar working on Finance, Mathematical Physics, Statistics and Probability, Computational Theory and Mathematics and Economics and Econometrics, having authored 108 papers that have together received 673 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (36 papers), Stochastic processes and statistical mechanics (22 papers), Financial Risk and Volatility Modeling (20 papers), Advanced Graph Theory Research (16 papers), Statistical Methods and Inference (15 papers), Complexity and Algorithms in Graphs (13 papers), advanced mathematical theories (12 papers) and Bayesian Methods and Mixture Models (9 papers). The work is most often cited by research in Finance (351 citations), Mathematical Physics (218 citations), Statistics and Probability (189 citations), Computational Theory and Mathematics (116 citations) and Management Science and Operations Research (77 citations). Gyula Pap has collaborated with scholars based in Hungary, Netherlands and Germany. Frequent co-authors include Mátyás Barczy, M.C.A. van Zuijlen, Márton Ispány, Yaozhong Hu, Salah-Eldin A. Mohammed, Zenghu Li, Sándor Baran, Herbert Heyer, József Gáll and Marc Yor. Their work appears in journals such as Computers & Mathematics with Applications, Journal of Multivariate Analysis, Journal of Theoretical Probability, Mathematical Programming and Advances in Applied Probability.
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.