Oğuzhan Ersoy
- Information Systems top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Zekeriya ErkinReginald L. LagendijkStjepan PicekHangyu ZhuYaochu JinKaitai LiangKristina HostákováJing Xu
- Topics
- Blockchain Technology Applications and Security (13 papers)Cryptography and Data Security (9 papers)Privacy-Preserving Technologies in Data (4 papers)
- Journals
- Discrete Applied MathematicsIEEE Transactions on Big DataRadboud Repository (Radboud University)
- Partner nations
- NetherlandsSpainGermany
In The Last Decade
Oğuzhan Ersoy
19 papers receiving 163 citations
Peers
Comparison fields: 5 of 34
- Information Systems 109
- Artificial Intelligence 79
- Computer Networks and Communications 58
- Computer Vision and Pattern Recognition 19
- Electrical and Electronic Engineering 14
Countries citing papers authored by Oğuzhan Ersoy
This map shows the geographic impact of Oğuzhan Ersoy'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 Oğuzhan Ersoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oğuzhan Ersoy more than expected).
Fields of papers citing papers by Oğuzhan Ersoy
This network shows the impact of papers produced by Oğuzhan Ersoy. 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 Oğuzhan Ersoy. The network helps show where Oğuzhan Ersoy may publish in the future.
Co-authorship network of co-authors of Oğuzhan Ersoy
This figure shows the co-authorship network connecting the top 25 collaborators of Oğuzhan Ersoy. A scholar is included among the top collaborators of Oğuzhan Ersoy 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 Oğuzhan Ersoy. Oğuzhan Ersoy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 15 | |
| 18 | 24 | |
| 19 | Information Propagation on Permissionless Blockchains. | 4 |
About Oğuzhan Ersoy
Oğuzhan Ersoy is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 19 papers that have together received 168 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (13 papers), Cryptography and Data Security (9 papers) and Privacy-Preserving Technologies in Data (4 papers). The work is most often cited by research in Information Systems (109 citations), Computer Networks and Communications (58 citations) and Artificial Intelligence (79 citations). Oğuzhan Ersoy has collaborated with scholars based in Netherlands, Spain and Germany. Frequent co-authors include Zekeriya Erkin, Reginald L. Lagendijk, Stjepan Picek, Hangyu Zhu, Yaochu Jin, Kaitai Liang, Kristina Hostáková, Jing Xu, Sebastian Faust and Matteo Maffei. Their work appears in journals such as Discrete Applied Mathematics, IEEE Transactions on Big Data and Radboud Repository (Radboud University).
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.