Joy Arulraj

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

About

Joy Arulraj is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joy Arulraj has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 13 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joy Arulraj's work include Advanced Data Storage Technologies (15 papers), Distributed systems and fault tolerance (14 papers) and Parallel Computing and Optimization Techniques (12 papers). Joy Arulraj is often cited by papers focused on Advanced Data Storage Technologies (15 papers), Distributed systems and fault tolerance (14 papers) and Parallel Computing and Optimization Techniques (12 papers). Joy Arulraj collaborates with scholars based in United States, China and India. Joy Arulraj's co-authors include Andrew Pavlo, Subramanya R. Dulloor, Prashanth Menon, Umar Farooq Minhas, Justin J. Levandoski, Per-Åke Larson, Matthew Perron, Yingjun Wu, Qing Zheng and Garth A. Gibson and has published in prestigious journals such as Communications of the ACM, Computer and Proceedings of the VLDB Endowment.

In The Last Decade

Joy Arulraj

41 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Joy Arulraj 1.0k 472 466 164 117 44 1.2k
Xiaodong Zhang 882 0.8× 773 1.6× 423 0.9× 123 0.8× 114 1.0× 64 1.2k
Ryan Johnson 1.2k 1.1× 469 1.0× 634 1.4× 97 0.6× 218 1.9× 50 1.3k
Kaushik Veeraraghavan 1.0k 1.0× 440 0.9× 474 1.0× 212 1.3× 190 1.6× 28 1.2k
Raju Rangaswami 1.2k 1.2× 407 0.9× 701 1.5× 170 1.0× 50 0.4× 63 1.3k
Peter Alvaro 1.1k 1.0× 166 0.4× 760 1.6× 230 1.4× 148 1.3× 48 1.2k
Peter B. Kessler 797 0.8× 738 1.6× 383 0.8× 307 1.9× 79 0.7× 19 1.2k
Godmar Back 672 0.6× 474 1.0× 352 0.8× 413 2.5× 165 1.4× 52 1.1k
Anurag Acharya 1.0k 1.0× 405 0.9× 352 0.8× 325 2.0× 162 1.4× 43 1.3k
Micah Beck 1.1k 1.0× 529 1.1× 234 0.5× 130 0.8× 43 0.4× 64 1.2k
Rob Strom 1.1k 1.1× 331 0.7× 296 0.6× 177 1.1× 68 0.6× 31 1.2k

Countries citing papers authored by Joy Arulraj

Since Specialization
Citations

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

Fields of papers citing papers by Joy Arulraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Arulraj

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