Sabri Arik
- Computer Networks and Communications top 0.1%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 1%
- Co-authors
- V. TavşanogluM. Syed AliÖzlem FaydasiçokTolga EnsarıZeynep OrmanNeyir OzcanSibel SenanRüya Şamlı
- Topics
- Neural Networks Stability and Synchronization (94 papers)stochastic dynamics and bifurcation (45 papers)Neural Networks and Applications (38 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsArtificial Intelligence
In The Last Decade
Sabri Arik
100 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 4.3k
- Artificial Intelligence 2.3k
- Statistical and Nonlinear Physics 1.6k
- Electrical and Electronic Engineering 1.5k
- Control and Systems Engineering 913
Countries citing papers authored by Sabri Arik
This map shows the geographic impact of Sabri Arik'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 Sabri Arik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabri Arik more than expected).
Fields of papers citing papers by Sabri Arik
This network shows the impact of papers produced by Sabri Arik. 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 Sabri Arik. The network helps show where Sabri Arik may publish in the future.
Co-authorship network of co-authors of Sabri Arik
This figure shows the co-authorship network connecting the top 25 collaborators of Sabri Arik. A scholar is included among the top collaborators of Sabri Arik 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 Sabri Arik. Sabri Arik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 41 | |
| 8 | 1 | |
| 9 | 91 | |
| 10 | 90 | |
| 11 | 34 | |
| 12 | 67 | |
| 13 | 71 | |
| 14 | 58 | |
| 15 | 72 | |
| 16 | 41 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 134 | |
| 20 | 198 |
About Sabri Arik
Sabri Arik is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 102 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (94 papers), stochastic dynamics and bifurcation (45 papers) and Neural Networks and Applications (38 papers). The work is most often cited by research in Computer Networks and Communications (4.3k citations), Statistical and Nonlinear Physics (1.6k citations) and Artificial Intelligence (2.3k citations). Sabri Arik has collaborated with scholars based in Türkiye, India and China. Frequent co-authors include V. Tavşanoglu, M. Syed Ali, Özlem Faydasiçok, Tolga Ensarı, Zeynep Orman, Neyir Ozcan, Sibel Senan, Rüya Şamlı, G. Narayanan and R. Saravanakumar. Their work appears in journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and Fuzzy Sets and Systems.
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.