Kshitij Doshi

718 citations
47 papers · 495 · h-index 12

Impact in

    • Parallel Computing and Optimization Techniques
    • Advanced Data Storage Technologies
    • Distributed systems and fault tolerance
    • Distributed and Parallel Computing Systems
    • IoT and Edge/Fog Computing
    • Interconnection Networks and Systems

Papers in

Kshitij Doshi

44 papers receiving 476 citations

Peers

Kshitij Doshi
Comparison fields: 5 of 30
  • Hardware and Architecture 332
  • Computer Networks and Communications 431
  • Information Systems 174
  • Management Information Systems 17
  • Electrical and Electronic Engineering 98
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Kshitij Doshi relative to Nichamon Naksinehaboon United States Nichamon Naksinehaboon's profile →
Citations per field
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Nichamon Naksinehaboon · 1×
Citations per year

Countries citing papers authored by Kshitij Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Kshitij Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 201651
3
Agile Cold Starts for Scalable Serverless
201948
4 200732
5 201329
6 201721
7 201318
8 201618
9 201515
10 200914
11 201313
12 201112
13 201811
14 201611
15 200810
16 201010
17 20139
18 20189
19 19929
20 19858

About Kshitij Doshi

Kshitij Doshi is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering and Signal Processing, having authored 47 papers that have together received 495 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Advanced Data Storage Technologies (29 papers), Cloud Computing and Resource Management (21 papers), Distributed systems and fault tolerance (20 papers), Software System Performance and Reliability (5 papers), Advanced Database Systems and Queries (4 papers), Advanced Memory and Neural Computing (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Hardware and Architecture (332 citations), Computer Networks and Communications (431 citations), Information Systems (174 citations), Management Information Systems (17 citations) and Electrical and Electronic Engineering (98 citations). Kshitij Doshi has collaborated with scholars based in United States, United Kingdom and Lebanon. Frequent co-authors include Peter Varman, Martin Dimitrov, L. Lu, Karthik Kumar, H.S. Sane, Anup Mohan, S.G. Abraham, Prasad A. Kulkarni, Yung-Hsiang Lu and Gang Deng. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Computer Architecture Letters, IEEE Transactions on Parallel and Distributed Systems, Theoretical Computer Science and IEEE Transactions on Computers.

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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