Jitu Padhye

27 total papers · 1.6k total citations
19 papers, 915 citations indexed

About

Jitu Padhye is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Jitu Padhye has authored 19 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 12 papers in Information Systems and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Jitu Padhye's work include Cloud Computing and Resource Management (8 papers), Software-Defined Networks and 5G (8 papers) and Software System Performance and Reliability (6 papers). Jitu Padhye is often cited by papers focused on Cloud Computing and Resource Management (8 papers), Software-Defined Networks and 5G (8 papers) and Software System Performance and Reliability (6 papers). Jitu Padhye collaborates with scholars based in United Kingdom, United States and Jamaica. Jitu Padhye's co-authors include Don Towsley, Jim Kurose, Chuanxiong Guo, Jianxi Ye, Zhong Deng, Gaurav Soni, Haitao Wu, Carlo Curino, George Varghese and Ashish Vulimiri and has published in prestigious journals such as Networked Systems Design and Implementation and GetMobile Mobile Computing and Communications.

In The Last Decade

Jitu Padhye

19 papers receiving 867 citations

Hit Papers

RDMA over Commodity Ether... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Jitu Padhye 833 421 174 105 100 19 915
Colin Scott 1.1k 1.4× 307 0.7× 268 1.5× 116 1.1× 35 0.3× 21 1.2k
Sara Alspaugh 806 1.0× 741 1.8× 145 0.8× 133 1.3× 104 1.0× 14 1.0k
Ranjita Bhagwan 963 1.2× 342 0.8× 117 0.7× 112 1.1× 63 0.6× 40 1.2k
T. Narten 607 0.7× 139 0.3× 229 1.3× 182 1.7× 54 0.5× 22 821
Kiran Nagaraja 1.0k 1.2× 246 0.6× 135 0.8× 47 0.4× 50 0.5× 36 1.1k
Rachit Agarwal 693 0.8× 453 1.1× 152 0.9× 105 1.0× 61 0.6× 44 841
Mike Wawrzoniak 1.0k 1.3× 327 0.8× 71 0.4× 84 0.8× 57 0.6× 10 1.1k
Gabriel Kliot 831 1.0× 376 0.9× 138 0.8× 105 1.0× 275 2.8× 27 1.0k
Brighten Godfrey 1.1k 1.3× 248 0.6× 129 0.7× 46 0.4× 39 0.4× 26 1.2k
Charles P. Wright 931 1.1× 349 0.8× 162 0.9× 239 2.3× 40 0.4× 38 1.0k

Countries citing papers authored by Jitu Padhye

Since Specialization
Citations

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

Fields of papers citing papers by Jitu Padhye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jitu Padhye

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