V. Tavşanoglu

1.2k citations
56 papers · 988 · h-index 14

Impact in

Papers in

V. Tavşanoglu

52 papers receiving 954 citations

Peers

V. Tavşanoglu
Comparison fields: 5 of 48
  • Computer Networks and Communications 790
  • Statistical and Nonlinear Physics 379
  • Artificial Intelligence 401
  • Computational Theory and Mathematics 106
  • Signal Processing 64
Replace Jiye Zhang with:
Jiye Zhang China
Xiaofeng Liao China
Akio Tsuneda Japan
Jin Hu China
Martine D. F. Schlag United States
Hilmi E. Egilmez United States
Mingwen Zheng China
Akshay Gadde United States
Rosa Martha López-Gutiérrez Mexico
Wei Pan China
V. Tavşanoglu relative to Jiye Zhang China Jiye Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by V. Tavşanoglu

Since Specialization
Citations

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

Fields of papers citing papers by V. Tavşanoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside V. Tavşanoglu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Tavşanoglu Line = papers co-authored together V. Tavşanoglu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000309
2 1998160
3 2005100
4 198481
5 199638
6 199832
7 201422
8 200022
9 199321
10 200219
11 200319
12 200817
13 200317
14 201215
15 20029
16 20107
17 20037
18 19967
19 19987
20 19976

About V. Tavşanoglu

V. Tavşanoglu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 56 papers that have together received 988 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (39 papers), Neural Networks and Applications (23 papers), Cellular Automata and Applications (10 papers), stochastic dynamics and bifurcation (10 papers), Advanced Memory and Neural Computing (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Cooperative Communication and Network Coding (6 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Computer Networks and Communications (790 citations), Statistical and Nonlinear Physics (379 citations), Artificial Intelligence (401 citations), Computational Theory and Mathematics (106 citations) and Signal Processing (64 citations). V. Tavşanoglu has collaborated with scholars based in Türkiye, United Kingdom and Germany. Frequent co-authors include Sabri Arik, Lothar Thiele, Mark Joy, Mustak Erhan Yalcin, İzzet Kale, Neyir Ozcan and Tolga Ensarı. Their work appears in journals such as International Journal of Circuit Theory and Applications, IEEE Transactions on Circuits and Systems I Regular Papers, Electronics Letters, Neurocomputing and IEEE Transactions on Circuits & Systems II Express Briefs.

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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