Aashish Phansalkar

2.7k citations
11 papers · 2.0k indexed · 1 hit paper · h-index 9

Impact in

Papers in

Aashish Phansalkar

10 papers receiving 1.9k citations

Hit Papers

The DaCapo benchmarks 2006 · 1.1k citations
1.1k20062026201220192505007501000

Peers

Aashish Phansalkar
Comparison fields: 5 of 63
  • Hardware and Architecture 1.3k
  • Software 367
  • Computer Networks and Communications 1.2k
  • Information Systems 846
  • Artificial Intelligence 727
Replace Daniel Frampton with:
Daniel Frampton Australia
Robin Garner Australia
Samuel Z. Guyer United States
Maria Jump United States
Vasanth Bala United States
Daniel von Dincklage United States
Amitabh Srivastava United States
Thomas VanDrunen United States
Stephen M. Blackburn Australia
David Grove United States
Aashish Phansalkar relative to Daniel Frampton Australia Daniel Frampton's profile →
Citations per field
00.5×1.5×
Daniel Frampton · 1×
Citations per year

Countries citing papers authored by Aashish Phansalkar

Since Specialization
Citations

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

Fields of papers citing papers by Aashish Phansalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Aashish Phansalkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aashish Phansalkar Line = papers co-authored together Aashish Phansalkar links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20080
2 2008104
3 200743
4 200744
5 2007138
6
The DaCapo benchmarks
Hit paper breakdown →
20061139
7 2006164
8 20063
9 2006110
10 2006102
11 2005125

About Aashish Phansalkar

Aashish Phansalkar is a scholar working on Hardware and Architecture, Information Systems, Software, Computer Networks and Communications and Computer Science Applications, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Cloud Computing and Resource Management (4 papers), Embedded Systems Design Techniques (3 papers), Software Engineering Research (3 papers), Advanced Data Storage Technologies (3 papers), Distributed and Parallel Computing Systems (2 papers), VLSI and FPGA Design Techniques (2 papers) and Logic, programming, and type systems (1 paper). The work is most often cited by research in Hardware and Architecture (1.3k citations), Software (367 citations), Computer Networks and Communications (1.2k citations), Information Systems (846 citations) and Artificial Intelligence (727 citations). Aashish Phansalkar has collaborated with scholars based in United States, Australia and Belgium. Frequent co-authors include Lizy K. John, Ajay Joshi, Lieven Eeckhout, Robin Garner, Antony L. Hosking, Martin Hirzel, Daniel Frampton, Kathryn S. McKinley, Maria Jump and Stephen M. Blackburn. Their work appears in journals such as ACM SIGPLAN Notices, Communications of the ACM, IEEE Transactions on Computers, International Journal of High Performance Computing and Networking and ANU Open Research (Australian National University).

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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