Prashant J. Nair

2.2k total citations
52 papers, 1.6k citations indexed

About

Prashant J. Nair is a scholar working on Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering. According to data from OpenAlex, Prashant J. Nair has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 26 papers in Hardware and Architecture and 25 papers in Electrical and Electronic Engineering. Recurrent topics in Prashant J. Nair's work include Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (22 papers) and Radiation Effects in Electronics (12 papers). Prashant J. Nair is often cited by papers focused on Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (22 papers) and Radiation Effects in Electronics (12 papers). Prashant J. Nair collaborates with scholars based in United States, Canada and South Korea. Prashant J. Nair's co-authors include Moinuddin K. Qureshi, Dae-Hyun Kim, Gururaj Saileshwar, Onur Mutlu, Chiachen Chou, Swamit Tannu, Samira Khan, Saugata Ghose, Kevin K. Chang and Donghyuk Lee and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and Electronics.

In The Last Decade

Prashant J. Nair

48 papers receiving 1.5k citations

Peers

Prashant J. Nair
Comparison fields: 5 of 46
  • Hardware and Architecture 908
  • Electrical and Electronic Engineering 861
  • Computer Networks and Communications 791
  • Artificial Intelligence 552
  • Information Systems 201
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Citations per field, relative to Prashant J. Nair
Prashant J. Nair · 1×
Citations per year, relative to Prashant J. Nair
Prashant J. Nair · 1×

Countries citing papers authored by Prashant J. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Prashant J. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prashant J. Nair. 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 Prashant J. Nair. The network helps show where Prashant J. Nair may publish in the future.

Co-authorship network of co-authors of Prashant J. Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Prashant J. Nair. A scholar is included among the top collaborators of Prashant J. Nair 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 Prashant J. Nair. Prashant J. Nair 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 5
3 4
4 4
5 1
6 6
7 4
8 0
9 59
10 23
11 60
12 26
13 31
14 143
15 16
16 21
17 13
18 29
19 113
20 130

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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