Engin A. Sungur
- Statistics and Probability top 2%
- Finance top 5%
- Artificial Intelligence
- Molecular Biology
- Management Science and Operations Research top 10%
- Co-authors
- Jong‐Min KimTae‐Young HeoJon E. AndersonYoonsung JungEsin AkiTaeryon ChoiInsuk SohnYimin Yang
- Topics
- Financial Risk and Volatility Modeling (9 papers)Bayesian Methods and Mixture Models (7 papers)Advanced Statistical Methods and Models (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBMC Bioinformatics
- Partner nations
- United StatesSouth KoreaTürkiye
In The Last Decade
Engin A. Sungur
25 papers receiving 348 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 184
- Finance 110
- Artificial Intelligence 51
- Molecular Biology 40
- Management Science and Operations Research 39
Countries citing papers authored by Engin A. Sungur
This map shows the geographic impact of Engin A. Sungur'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 Engin A. Sungur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engin A. Sungur more than expected).
Fields of papers citing papers by Engin A. Sungur
This network shows the impact of papers produced by Engin A. Sungur. 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 Engin A. Sungur. The network helps show where Engin A. Sungur may publish in the future.
Co-authorship network of co-authors of Engin A. Sungur
This figure shows the co-authorship network connecting the top 25 collaborators of Engin A. Sungur. A scholar is included among the top collaborators of Engin A. Sungur 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 Engin A. Sungur. Engin A. Sungur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | Teaching for Success: Technology and Learning Styles in Preservice Teacher Education. | 5 |
| 6 | Copulas with directional dependence property | 2 |
| 7 | 48 | |
| 8 | The use of concept maps/graphs/trees/vines in the instructional process | 0 |
| 9 | 56 | |
| 10 | Concept Maps/Graphs/Trees/Vines In Education | 4 |
| 11 | 1 | |
| 12 | 20 | |
| 13 | ENRICHING INTRODUCTORY STATISTICS COURSES THROUGH COMMUNITY AWARENESS | 3 |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 16 | |
| 20 | 36 |
About Engin A. Sungur
Engin A. Sungur is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 27 papers that have together received 376 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (184 citations), Finance (110 citations) and Management Science and Operations Research (39 citations). Engin A. Sungur has collaborated with scholars based in United States, South Korea and Türkiye. Frequent co-authors include Jong‐Min Kim, Tae‐Young Heo, Jon E. Anderson, Yoonsung Jung, Esin Aki, Taeryon Choi, Insuk Sohn, Yimin Yang, Changyi Park and Kap‐Hoon Han. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and BMC Bioinformatics.
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.