Rajeev Gandhi

73 total papers · 1.8k total citations
56 papers, 1.2k citations indexed

About

Rajeev Gandhi is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rajeev Gandhi has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 25 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rajeev Gandhi's work include Software System Performance and Reliability (25 papers), Cloud Computing and Resource Management (18 papers) and Distributed systems and fault tolerance (11 papers). Rajeev Gandhi is often cited by papers focused on Software System Performance and Reliability (25 papers), Cloud Computing and Resource Management (18 papers) and Distributed systems and fault tolerance (11 papers). Rajeev Gandhi collaborates with scholars based in United States, Singapore and Portugal. Rajeev Gandhi's co-authors include Priya Narasimhan, Jiaqi Tan, Soila Kavulya, Xinghao Pan, Utsav Drolia, Katherine Guo, Rolando Martins, Cyrus Tse, Richard Brull and Kyle R. Kirkham and has published in prestigious journals such as Regional Anesthesia & Pain Medicine, ACM SIGOPS Operating Systems Review and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Rajeev Gandhi

53 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Rajeev Gandhi 900 619 232 130 118 56 1.2k
Ying Li 547 0.6× 467 0.8× 369 1.6× 80 0.6× 62 0.5× 107 1.3k
Paul Grace 845 0.9× 615 1.0× 536 2.3× 197 1.5× 20 0.2× 94 1.3k
Ugo Buy 736 0.8× 212 0.3× 217 0.9× 85 0.7× 43 0.4× 53 1.3k
Marisol García‐Valls 833 0.9× 481 0.8× 299 1.3× 101 0.8× 49 0.4× 101 1.3k
John Daniels 236 0.3× 330 0.5× 442 1.9× 48 0.4× 75 0.6× 29 1.0k
Muhammad Waseem Anwar 211 0.2× 419 0.7× 228 1.0× 67 0.5× 21 0.2× 105 928
Tridib Mukherjee 806 0.9× 704 1.1× 120 0.5× 71 0.5× 13 0.1× 62 1.2k
James Weimer 420 0.5× 125 0.2× 409 1.8× 74 0.6× 147 1.2× 85 1.4k
Klaus Kabitzsch 432 0.5× 175 0.3× 250 1.1× 99 0.8× 18 0.2× 132 1.3k
Brice Morin 601 0.7× 595 1.0× 511 2.2× 97 0.7× 6 0.1× 43 960

Countries citing papers authored by Rajeev Gandhi

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Gandhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajeev Gandhi

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