Keshav Pingali

10.9k total citations · 3 hit papers
230 papers, 6.5k citations indexed

About

Keshav Pingali is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Keshav Pingali has authored 230 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Hardware and Architecture, 132 papers in Computer Networks and Communications and 58 papers in Artificial Intelligence. Recurrent topics in Keshav Pingali's work include Parallel Computing and Optimization Techniques (151 papers), Distributed systems and fault tolerance (46 papers) and Distributed and Parallel Computing Systems (46 papers). Keshav Pingali is often cited by papers focused on Parallel Computing and Optimization Techniques (151 papers), Distributed systems and fault tolerance (46 papers) and Distributed and Parallel Computing Systems (46 papers). Keshav Pingali collaborates with scholars based in United States, Poland and Italy. Keshav Pingali's co-authors include Martin Burtscher, Donald Nguyen, Milind Kulkarni, Andrew Lenharth, Paul Stodghill, Rupesh Nasre, Nawaaz Ahmed, Daniel Marques, Kavita Bala and Bruce Walter and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Keshav Pingali

217 papers receiving 6.1k citations

Hit Papers

A lightweight infrastructure for graph analytics 2007 2026 2013 2019 2013 2007 2012 100 200 300

Peers

Keshav Pingali
Comparison fields: 5 of 108
  • Hardware and Architecture 4.3k
  • Computer Networks and Communications 4.0k
  • Artificial Intelligence 1.7k
  • Computer Vision and Pattern Recognition 1.6k
  • Information Systems 1.3k
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Citations per field, relative to Keshav Pingali
Keshav Pingali · 1×
Citations per year, relative to Keshav Pingali
Keshav Pingali · 1×

Countries citing papers authored by Keshav Pingali

Since Specialization
Citations

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

Fields of papers citing papers by Keshav Pingali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshav Pingali

This figure shows the co-authorship network connecting the top 25 collaborators of Keshav Pingali. A scholar is included among the top collaborators of Keshav Pingali 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 Keshav Pingali. Keshav Pingali 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 0
2 1
3
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU
4
4 9
5 3
6 23
7
GENERALIZED DOMINANCE and CONTROL DEPENDENCE
0
8
Automatic Measurement of Hardware Parameters for Embedded Processors
0
9
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
0
10
Collective Operations in an Application-level Fault Tolerant MPI System
14
11
Computational Science Simulations based on Web Services
2
12 38
13 10
14 19
15
Proceedings of the sixth ACM SIGPLAN symposium on Principles and practice of parallel programming
6
16
Compiling Parallel Sparse Code for User-Defined Data Structures.
12
17 91
18
Lazy evaluation and the logic variable
1
19
Compiling for Locality.
15
20
Efficient Demand-Driven Evaluation (II).
1

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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