Gowtham Bellala

35 total papers · 637 total citations
27 papers, 419 citations indexed

About

Gowtham Bellala is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Gowtham Bellala has authored 27 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Molecular Biology and 4 papers in Information Systems. Recurrent topics in Gowtham Bellala's work include Bioinformatics and Genomic Networks (6 papers), Machine Learning and Algorithms (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Gowtham Bellala is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Machine Learning and Algorithms (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Gowtham Bellala collaborates with scholars based in United States, India and Vietnam. Gowtham Bellala's co-authors include Guevara Noubir, Jeongkeun Lee, Zafar Ayyub Qazi, Tao Jin, Suresh K. Bhavnani, Martin Arlitt, Manish Marwah, Clayton Scott, Cullen Bash and Geoff Lyon and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Journal of the American Medical Informatics Association.

In The Last Decade

Gowtham Bellala

26 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Gowtham Bellala 209 189 67 48 46 27 419
Atifa Athar 116 0.6× 181 1.0× 62 0.9× 43 0.9× 50 1.1× 21 475
Damien Zufferey 169 0.8× 147 0.8× 94 1.4× 25 0.5× 60 1.3× 31 485
Weida Zhong 50 0.2× 199 1.1× 65 1.0× 37 0.8× 37 0.8× 20 376
Ahmed Alahmadi 138 0.7× 155 0.8× 94 1.4× 27 0.6× 72 1.6× 39 472
Nouh Sabri Elmitwally 70 0.3× 160 0.8× 37 0.6× 21 0.4× 35 0.8× 31 425
Muhammad Rukunuddin Ghalib 181 0.9× 171 0.9× 34 0.5× 72 1.5× 46 1.0× 32 431
Gyan Ranjan 140 0.7× 83 0.4× 44 0.7× 55 1.1× 17 0.4× 30 368
Syed Atif Moqurrab 159 0.8× 227 1.2× 39 0.6× 57 1.2× 41 0.9× 34 474
David Hong 149 0.7× 71 0.4× 127 1.9× 46 1.0× 50 1.1× 29 457
Doina Bucur 91 0.4× 121 0.6× 34 0.5× 34 0.7× 30 0.7× 35 433

Countries citing papers authored by Gowtham Bellala

Since Specialization
Citations

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

Fields of papers citing papers by Gowtham Bellala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gowtham Bellala

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