Rishiyur S. Nikhil

2.8k citations
28 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Parallel Computing and Optimization Techniques (10 papers)Logic, programming, and type systems (9 papers)Distributed and Parallel Computing Systems (7 papers)

In The Last Decade

Rishiyur S. Nikhil

28 papers receiving 1.0k citations

Hit Papers

Report on the programming language Haskell19922026200320141992100200300400500

Peers

Rishiyur S. Nikhil
Comparison fields: 5 of 60
  • Artificial Intelligence 732
  • Computer Networks and Communications 548
  • Hardware and Architecture 532
  • Computational Theory and Mathematics 363
  • Information Systems 179
Replace Henry G. Baker with:
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Citations per field
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Citations per year

Countries citing papers authored by Rishiyur S. Nikhil

Since Specialization
Citations

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

Fields of papers citing papers by Rishiyur S. Nikhil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rishiyur S. Nikhil. 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 Rishiyur S. Nikhil. The network helps show where Rishiyur S. Nikhil may publish in the future.

Co-authorship network of co-authors of Rishiyur S. Nikhil

This figure shows the co-authorship network connecting the top 25 collaborators of Rishiyur S. Nikhil. A scholar is included among the top collaborators of Rishiyur S. Nikhil 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 Rishiyur S. Nikhil. Rishiyur S. Nikhil 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
#WorkIndexed citations
1 9
2 13
3
Hands-on Introduction to Bluespec System Verilog (BSV) (Abstract).
2
4 3
5 12
6
Space-Time Memory: A Parallel Programming Abstraction for Dynamic Vision Applications
2
7
Implicit Parallel Programming in pH
38
8 9
9 37
10 5
11 2
12 6
13
Report on the Programming Language Haskell, A Non-strict, Purely Functional Language.
148
14
Atomic data structures for parallel computing
4
15 15
16 15
17 229
18 9
19
Functional Databases, Functional Languages.
2
20 65

About Rishiyur S. Nikhil

Rishiyur S. Nikhil is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Logic, programming, and type systems (9 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Hardware and Architecture (532 citations), Software (108 citations) and Computer Networks and Communications (548 citations). Rishiyur S. Nikhil has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Arvind Arvind, Keshav Pingali, Will Partain, Thomas Johnsson, John Hughes, Jon Fairbairn, Joseph H. Fasel, Philip Wadler, Kevin Hammond and Paul Hudak. Their work appears in journals such as Journal of Marketing Research, Communications of the ACM and ACM SIGMOD Record.

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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