Sibel Senan

14 papers and 239 indexed citations i.

About

Sibel Senan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Sibel Senan has authored 14 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Statistical and Nonlinear Physics and 3 papers in Artificial Intelligence. Recurrent topics in Sibel Senan’s work include Neural Networks Stability and Synchronization (9 papers), stochastic dynamics and bifurcation (5 papers) and Neural Networks and Applications (3 papers). Sibel Senan is often cited by papers focused on Neural Networks Stability and Synchronization (9 papers), stochastic dynamics and bifurcation (5 papers) and Neural Networks and Applications (3 papers). Sibel Senan collaborates with scholars based in Türkiye, India and United States. Sibel Senan's co-authors include Sabri Arik, M. Syed Ali, R. Vadivel, Vineet Shekher, Derong Liu, Rüya Şamlı, Zeynep Orman, M. Erdem Isenkul and Tolga Ensarı and has published in prestigious journals such as Neural Networks, Chaos Solitons & Fractals and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Sibel Senan i

Fields of papers citing papers by Sibel Senan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sibel Senan

Since Specialization
Citations

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

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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2025