Ripal Nathuji

30 total papers · 2.3k total citations
22 papers, 1.6k citations indexed

About

Ripal Nathuji is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Ripal Nathuji has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 15 papers in Information Systems and 12 papers in Hardware and Architecture. Recurrent topics in Ripal Nathuji's work include Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (11 papers) and Caching and Content Delivery (4 papers). Ripal Nathuji is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Parallel Computing and Optimization Techniques (11 papers) and Caching and Content Delivery (4 papers). Ripal Nathuji collaborates with scholars based in United States. Ripal Nathuji's co-authors include Karsten Schwan, Aman Kansal, Alireza Ghaffarkhah, Eugene Gorbatov, Canturk Isci, Himanshu Raj, P. England, Yogendra Joshi, Vishal Gupta and Wei Zhao and has published in prestigious journals such as ACM SIGOPS Operating Systems Review, ACM SIGMETRICS Performance Evaluation Review and Cluster Computing.

In The Last Decade

Ripal Nathuji

22 papers receiving 1.5k citations

Hit Papers

VirtualPower 2007 2026 2013 2019 2007 2010 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Ripal Nathuji 1.4k 1.4k 383 168 156 22 1.6k
Jeff Chase 1.7k 1.2× 1.0k 0.7× 450 1.2× 244 1.5× 131 0.8× 47 1.9k
Vanish Talwar 1.5k 1.1× 1.3k 0.9× 637 1.7× 217 1.3× 246 1.6× 48 1.8k
Daniel Gmach 1.7k 1.2× 1.7k 1.2× 231 0.6× 402 2.4× 159 1.0× 40 2.0k
Wes Felter 1.5k 1.1× 966 0.7× 230 0.6× 250 1.5× 196 1.3× 12 1.6k
Andrzej Kochut 1.4k 1.0× 1.2k 0.9× 135 0.4× 140 0.8× 117 0.8× 41 1.5k
Sujay Parekh 1.0k 0.7× 703 0.5× 411 1.1× 87 0.5× 210 1.3× 22 1.3k
Luis Pedrosa 1.0k 0.7× 767 0.6× 175 0.5× 93 0.6× 173 1.1× 18 1.3k
L. A. Belady 1.3k 0.9× 1.2k 0.9× 690 1.8× 126 0.8× 710 4.6× 21 2.4k
Anshul Gandhi 1.8k 1.3× 1.6k 1.2× 319 0.8× 479 2.9× 165 1.1× 90 2.2k
Eduardo Pinheiro 1.9k 1.4× 1.1k 0.8× 897 2.3× 498 3.0× 149 1.0× 18 2.2k

Countries citing papers authored by Ripal Nathuji

Since Specialization
Citations

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

Fields of papers citing papers by Ripal Nathuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ripal Nathuji

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