V. Tavşanoglu

1.2k citations
55 papers · 936 · h-index 14

Impact in

Papers in

V. Tavşanoglu

51 papers receiving 901 citations

Peers

V. Tavşanoglu
Comparison fields: 5 of 49
  • Computer Networks and Communications 748
  • Statistical and Nonlinear Physics 355
  • Artificial Intelligence 386
  • Computational Theory and Mathematics 101
  • Signal Processing 59
Replace Norikazu Takahashi with:
Norikazu Takahashi Japan
Jiye Zhang China
Xiaofeng Liao China
Stevan Berber New Zealand
Akio Tsuneda Japan
Jin Hu China
Deqiang Ouyang China
Martine Schlag United States
Hilmi E. Egilmez United States
Mingwen Zheng China
V. Tavşanoglu relative to Norikazu Takahashi Japan Norikazu Takahashi's profile →
Citations per field
00.5×2.6×
Norikazu Takahashi · 1×
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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000291
2 1998152
3 200595
4 198480
5 199637
6 199830
7 201421
8 200020
9 199319
10 200818
11 200218
12 200317
13 200315
14 201213
15 20029
16 19987
17 20107
18 19967
19 20036
20 19976

About V. Tavşanoglu

V. Tavşanoglu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 55 papers that have together received 936 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (38 papers), Neural Networks and Applications (22 papers), stochastic dynamics and bifurcation (10 papers), Advanced Memory and Neural Computing (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Cellular Automata and Applications (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 (748 citations), Statistical and Nonlinear Physics (355 citations), Artificial Intelligence (386 citations), Computational Theory and Mathematics (101 citations) and Signal Processing (59 citations). V. Tavşanoglu has collaborated with scholars based in Türkiye, United Kingdom and Germany. Frequent co-authors include Sabri Arik, Lothar Thiele, Mark Joy, Müştak E. Yalçın, Neyir Ozcan, İzzet Kale 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, IEEE Transactions on Circuits & Systems II Express Briefs and Neurocomputing.

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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