Vipin Sachdeva

688 citations
27 papers · 425 · h-index 11

Impact in

Papers in

Vipin Sachdeva

27 papers receiving 393 citations

Peers

Vipin Sachdeva
Comparison fields: 5 of 78
  • Hardware and Architecture 136
  • Computer Networks and Communications 159
  • Information Systems and Management 22
  • Computational Theory and Mathematics 46
  • Artificial Intelligence 80
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Arthur Trew United Kingdom
Raphaël Bolze France
Matthew A. Hammer United States
Frederick R.M. Barnes United Kingdom
Vicente Blanco Spain
Hasitha Muthumala Waidyasooriya Japan
Gagarine Yaikhom United Kingdom
Sabela Ramos Spain
Artur Podobas Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Vipin Sachdeva

Since Specialization
Citations

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

Fields of papers citing papers by Vipin Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vipin Sachdeva, 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 Vipin Sachdeva Line = papers co-authored together Vipin Sachdeva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200679
2 201245
3 201744
4
A Cache-Aware Parallel Implementation of the Push-Relabel Network Flow Algorithm and Experimental Evaluation of the Gap Relabeling Heuristic
200642
5 201933
6 200832
7 200727
8 201717
9 201716
10 201914
11 200910
12 202110
13 20128
14 20207
15 20207
16 20216
17 20145
18 20224
19 20223
20 20143

About Vipin Sachdeva

Vipin Sachdeva is a scholar working on Hardware and Architecture, Computer Networks and Communications, Molecular Biology, Electrical and Electronic Engineering and Artificial Intelligence, having authored 27 papers that have together received 425 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Advanced Data Storage Technologies (7 papers), Genomics and Phylogenetic Studies (7 papers), Low-power high-performance VLSI design (4 papers), Distributed and Parallel Computing Systems (4 papers), Nanopore and Nanochannel Transport Studies (4 papers), Gene expression and cancer classification (3 papers) and Evolutionary Algorithms and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (136 citations), Computer Networks and Communications (159 citations), Information Systems and Management (22 citations), Computational Theory and Mathematics (46 citations) and Artificial Intelligence (80 citations). Vipin Sachdeva has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include David A. Bader, Tao Li, Yue Li, Michael Kistler, Evan W. Speight, Martin Herbordt, Kirk E. Jordan, Chen Yang, Woody Sherman and Tong Geng. Their work appears in journals such as Computer, Biophysical Journal, IBM Journal of Research and Development, BMC Bioinformatics and Parallel 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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