Raja Appuswamy

889 total citations
50 papers, 560 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 50 papers receiving a total of 560 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 14 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 DNA and Biological Computing (10 papers). Raja Appuswamy is often cited by papers focused on Advanced Data Storage Technologies (30 papers), Cloud Computing and Resource Management (15 papers) and DNA and Biological Computing (10 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, Christos Gkantsidis, Dushyanth Narayanan, Orion Hodson, Antony Rowstron, Pascal Barbry and Renata Borovica‐Gajic 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

44 papers receiving 541 citations

Peers

Raja Appuswamy
Comparison fields: 5 of 44
  • Computer Networks and Communications 432
  • Information Systems 213
  • Hardware and Architecture 116
  • Electrical and Electronic Engineering 99
  • Artificial Intelligence 98
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Citations per field, relative to Raja Appuswamy
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Citations per year, relative to Raja Appuswamy
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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

20 of 20 papers shown
# Work Indexed citations
1 1
2 16
3
OneJoin: Cross-Architecture, Scalable Edit SimilarityJoin for DNA Data Storage Using oneAPI.
2
4 11
5 6
6 19
7 1
8
The Case For Heterogeneous HTAP
24
9
The Five-minute Rule Thirty Years Later and its Impact on the Storage Hierarchy.
8
10
Towards paravirtualized network file systems
2
11 11
12 1
13 20
14 1
15
Integrated End-to-End Dependability in the Loris Storage Stack
4
16 3
17
Block-level RAID is dead
5
18
MINIX 3: Status report and current research
1
19 11
20 66

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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