Gürsel Serpen

54 papers and 493 indexed citations i.

About

Gürsel Serpen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Gürsel Serpen has authored 54 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Gürsel Serpen’s work include Neural Networks and Applications (21 papers), Energy Efficient Wireless Sensor Networks (10 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Gürsel Serpen is often cited by papers focused on Neural Networks and Applications (21 papers), Energy Efficient Wireless Sensor Networks (10 papers) and Metaheuristic Optimization Algorithms Research (8 papers). Gürsel Serpen collaborates with scholars based in United States. Gürsel Serpen's co-authors include Maheshkumar Sabhnani, Jiakai Li, Azadeh Parvin, Steven H. Selman, В. Г. Карпов, Cindy Schneider, Diana Shvydka, Ramakrishnan Iyer, Samuel S. Shepard and A. John McSweeny and has published in prestigious journals such as Nucleic Acids Research, Journal of Applied Physics and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Gürsel Serpen i

Fields of papers citing papers by Gürsel Serpen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gürsel Serpen

Since Specialization
Citations

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