Nursena Bayğın

32 total papers · 530 total citations
24 papers, 379 citations indexed

About

Nursena Bayğın is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management of Technology and Innovation. According to data from OpenAlex, Nursena Bayğın has authored 24 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Management of Technology and Innovation. Recurrent topics in Nursena Bayğın's work include Product Development and Customization (5 papers), Photovoltaic System Optimization Techniques (4 papers) and Blockchain Technology Applications and Security (4 papers). Nursena Bayğın is often cited by papers focused on Product Development and Customization (5 papers), Photovoltaic System Optimization Techniques (4 papers) and Blockchain Technology Applications and Security (4 papers). Nursena Bayğın collaborates with scholars based in Türkiye, Singapore and Australia. Nursena Bayğın's co-authors include Mehmet Bayğın, Mehmet Karaköse, Orhan Yaman, Şengül Doğan, Prabal Datta Barua, U. Rajendra Acharya, Türker Tuncer, Erhan Akın, Ru‐San Tan and Elizabeth E. Palmer and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Nursena Bayğın

22 papers receiving 365 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nursena Bayğın 90 87 74 70 70 24 379
R. Manjula Devi 68 0.8× 153 1.8× 67 0.9× 35 0.5× 24 0.3× 40 376
S. Praveena 77 0.9× 116 1.3× 27 0.4× 109 1.6× 23 0.3× 40 347
Muhammad Sheraz Arshad Malik 92 1.0× 130 1.5× 57 0.8× 53 0.8× 6 0.1× 30 422
Mayank Jain 71 0.8× 178 2.0× 34 0.5× 31 0.4× 16 0.2× 37 396
Amer Malki 60 0.7× 149 1.7× 86 1.2× 26 0.4× 8 0.1× 19 341
Okan Erkaymaz 30 0.3× 163 1.9× 48 0.6× 69 1.0× 72 1.0× 30 368
Faheem Ahmad Reegu 53 0.6× 85 1.0× 40 0.5× 21 0.3× 6 0.1× 38 444
V. Pattabiraman 103 1.1× 85 1.0× 41 0.6× 23 0.3× 19 0.3× 30 334
Pi-Yun Chen 79 0.9× 111 1.3× 90 1.2× 107 1.5× 61 0.9× 46 409
Anam Nawaz Khan 48 0.5× 102 1.2× 18 0.2× 118 1.7× 15 0.2× 41 410

Countries citing papers authored by Nursena Bayğın

Since Specialization
Citations

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

Fields of papers citing papers by Nursena Bayğın

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nursena Bayğın

This figure shows the co-authorship network connecting the top 25 collaborators of Nursena Bayğın. A scholar is included among the top collaborators of Nursena Bayğın 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 Nursena Bayğın. Nursena Bayğın is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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