Gokul Yenduri

71 total papers · 3.0k total citations
38 papers, 1.5k citations indexed

About

Gokul Yenduri is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Gokul Yenduri has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Gokul Yenduri's work include IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (7 papers) and Software Engineering Research (7 papers). Gokul Yenduri is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (7 papers) and Software Engineering Research (7 papers). Gokul Yenduri collaborates with scholars based in India, Lebanon and China. Gokul Yenduri's co-authors include Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Thien Huynh‐The, Quoc‐Viet Pham, Sweta Bhattacharya, Weizheng Wang, Madhusanka Liyanage, Daniel Benevides da Costa, Pasika Ranaweera and Mamoun Alazab and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Gokul Yenduri

34 papers receiving 1.4k citations

Hit Papers

Blockchain for the metave... 2022 2026 2023 2024 2023 2023 2022 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Gokul Yenduri 499 429 373 266 134 38 1.5k
Mazhar Javed Awan 636 1.3× 408 1.0× 319 0.9× 154 0.6× 282 2.1× 54 1.7k
Minrui Xu 454 0.9× 592 1.4× 345 0.9× 167 0.6× 209 1.6× 86 1.6k
Satyabrata Aich 223 0.4× 152 0.4× 312 0.8× 109 0.4× 124 0.9× 60 1.5k
Γεώργιος Μεδίτσκος 603 1.2× 300 0.7× 475 1.3× 93 0.3× 459 3.4× 77 1.8k
Ravi Sharma 385 0.8× 326 0.8× 545 1.5× 38 0.1× 124 0.9× 90 1.6k
Sunil Vadera 847 1.7× 206 0.5× 448 1.2× 88 0.3× 130 1.0× 58 1.6k
Sangmin Park 192 0.4× 244 0.6× 408 1.1× 535 2.0× 203 1.5× 30 1.4k
Johannes Schneider 561 1.1× 359 0.8× 199 0.5× 36 0.1× 130 1.0× 72 1.3k
Omar Alfandi 469 0.9× 838 2.0× 533 1.4× 72 0.3× 209 1.6× 101 1.7k
Deirdre K. Mulligan 501 1.0× 140 0.3× 411 1.1× 186 0.7× 83 0.6× 77 1.7k

Countries citing papers authored by Gokul Yenduri

Since Specialization
Citations

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

Fields of papers citing papers by Gokul Yenduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gokul Yenduri

This figure shows the co-authorship network connecting the top 25 collaborators of Gokul Yenduri. A scholar is included among the top collaborators of Gokul Yenduri 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 Gokul Yenduri. Gokul Yenduri 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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