Rajesh Nishtala

1.3k citations
17 papers · 894 indexed · 1 hit paper · h-index 11
Topics
Parallel Computing and Optimization Techniques (12 papers)Interconnection Networks and Systems (5 papers)Cloud Computing and Resource Management (3 papers)
Partner nations
United StatesIsrael

In The Last Decade

Rajesh Nishtala

17 papers receiving 847 citations

Hit Papers

Scaling Memcache at Facebook20132026201720212013100200300400

Peers

Rajesh Nishtala
Comparison fields: 5 of 51
  • Computer Networks and Communications 785
  • Hardware and Architecture 471
  • Information Systems 354
  • Artificial Intelligence 65
  • Computational Theory and Mathematics 65
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Marc Casas Spain
Jacqueline Chame United States
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Rajesh Nishtala relative to Marc Casas Spain Marc Casas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rajesh Nishtala

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Nishtala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Nishtala

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Nishtala. A scholar is included among the top collaborators of Rajesh Nishtala 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 Rajesh Nishtala. Rajesh Nishtala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 22
2
Scaling Memcache at Facebookbreakdown →
435
3 3
4 25
5 2
6
Optimizing collective communication on multicores
15
7 37
8
Automatically tuning collective communication for one-sided programming models
4
9 25
10 108
11 61
12 1
13
Performance Modeling and Analysis of Cache Blocking in Sparse Matrix Vector Multiply
7
14
Firehose: An Algorithm for Distributed Page Registration on Clusters of SMPs
1
15 82
16 21
17 45

About Rajesh Nishtala

Rajesh Nishtala is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 17 papers that have together received 894 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Interconnection Networks and Systems (5 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Hardware and Architecture (471 citations), Computer Networks and Communications (785 citations) and Computational Mathematics (19 citations). Rajesh Nishtala has collaborated with scholars based in United States and Israel. Frequent co-authors include Katherine Yelick, James Demmel, Richard Vuduc, Venkateshwaran Venkataramani, David Stafford, Herman Lee, Daniel Peek, Tony Tung, Paul Hargrove and Shoaib Kamil. Their work appears in journals such as Resuscitation, Parallel Computing and Applicable Algebra in Engineering Communication and Computing.

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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