Tapasya Patki

745 citations
33 papers · 469 · h-index 11

Impact in

Papers in

Tapasya Patki

30 papers receiving 456 citations

Peers

Tapasya Patki
Comparison fields: 5 of 43
  • Hardware and Architecture 331
  • Computer Networks and Communications 373
  • Information Systems 289
  • Information Systems and Management 28
  • Electrical and Electronic Engineering 71
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Raghunath Rajachandrasekar United States
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Citations per year

Countries citing papers authored by Tapasya Patki

Since Specialization
Citations

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

Fields of papers citing papers by Tapasya Patki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013114
2 201578
3 201566
4 202039
5 201427
6 201723
7 201915
8 201914
9 201611
10 201610
11 201810
12 20228
13 20077
14 20166
15 20166
16 20165
17 20075
18 20215
19 20184
20 20242

About Tapasya Patki

Tapasya Patki is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Management Information Systems, having authored 33 papers that have together received 469 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Distributed and Parallel Computing Systems (17 papers), Cloud Computing and Resource Management (14 papers), Advanced Data Storage Technologies (7 papers), Low-power high-performance VLSI design (3 papers), Embedded Systems Design Techniques (3 papers), Scientific Computing and Data Management (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Hardware and Architecture (331 citations), Computer Networks and Communications (373 citations), Information Systems (289 citations), Information Systems and Management (28 citations) and Electrical and Electronic Engineering (71 citations). Tapasya Patki has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Barry Rountree, Martin Schulz, David K. Lowenthal, Bronis R. de Supinski, Masaaki Kondo, Anjana Sasidharan, Koji Inoue, Ikuo Miyoshi, Keiichiro Fukazawa and Yuichi Inadomi⋆. Their work appears in journals such as The International Journal of High Performance Computing Applications, Future Generation Computer Systems, Journal of Electronic Commerce in Organizations, DYNA and Journal of Information Technology Research.

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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