Raja Appuswamy

78 total papers · 879 total citations
49 papers, 553 citations indexed

About

Raja Appuswamy is a scholar working on Computer Networks and Communications, Information Systems and Molecular Biology. According to data from OpenAlex, Raja Appuswamy has authored 49 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 18 papers in Information Systems and 13 papers in Molecular Biology. Recurrent topics in Raja Appuswamy's work include Advanced Data Storage Technologies (30 papers), Cloud Computing and Resource Management (15 papers) and Distributed systems and fault tolerance (9 papers). Raja Appuswamy is often cited by papers focused on Advanced Data Storage Technologies (30 papers), Cloud Computing and Resource Management (15 papers) and Distributed systems and fault tolerance (9 papers). Raja Appuswamy collaborates with scholars based in France, Netherlands and Switzerland. Raja Appuswamy's co-authors include Anastasia Ailamaki, A. K. Chaturvedi, Manos Karpathiotakis, Andrew S. Tanenbaum, Orion Hodson, Dushyanth Narayanan, Antony Rowstron, Christos Gkantsidis, Renata Borovica‐Gajic and Marc Antonini and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Information Theory and Communications of the ACM.

In The Last Decade

Raja Appuswamy

43 papers receiving 534 citations

Author Peers

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

Author						Papers	Cites
Raja Appuswamy	428	213	113	98	96	49	553
Bo Hong	392 0.9×	156 0.7×	149 1.3×	94 1.0×	144 1.5×	54	619
Adam Kirsch	407 1.0×	131 0.6×	132 1.2×	24 0.2×	210 2.2×	35	583
Pedro Trancoso	459 1.1×	147 0.7×	401 3.5×	109 1.1×	79 0.8×	74	631
John Paul Walters	397 0.9×	295 1.4×	197 1.7×	102 1.0×	100 1.0×	53	638
Haoxiang Lin	348 0.8×	262 1.2×	97 0.9×	39 0.4×	185 1.9×	22	576
Roger Pearce	246 0.6×	147 0.7×	134 1.2×	30 0.3×	169 1.8×	52	549
Hai Jiang	325 0.8×	259 1.2×	93 0.8×	37 0.4×	199 2.1×	73	561
Fabio Checconi	388 0.9×	180 0.8×	288 2.5×	114 1.2×	144 1.5×	38	689
Isaac D. Scherson	419 1.0×	73 0.3×	226 2.0×	125 1.3×	95 1.0×	86	577
Shuibing He	345 0.8×	135 0.6×	127 1.1×	59 0.6×	97 1.0×	74	502

Countries citing papers authored by Raja Appuswamy

Since Specialization

Citations

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

Fields of papers citing papers by Raja Appuswamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raja Appuswamy

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