Jayant Rajgopal

3.2k citations
79 papers · 2.3k indexed · 1 hit paper · h-index 23
Topics
Vaccine Coverage and Hesitancy (16 papers)COVID-19 epidemiological studies (13 papers)Software Reliability and Analysis Research (13 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONETechnometrics

In The Last Decade

Jayant Rajgopal

74 papers receiving 2.0k citations

Hit Papers

Analyzing the benefits of lean manufacturing and value st...20062026201220192006200400600

Peers

Jayant Rajgopal
Comparison fields: 5 of 135
  • Management Information Systems 813
  • Strategy and Management 605
  • Industrial and Manufacturing Engineering 521
  • Health 431
  • Management Science and Operations Research 327
Replace Bryan A. Norman with:
Bryan A. Norman United States
Pınar Keskinocak United States
Willem van Jaarsveld Netherlands
Julie Swann United States
Margaret L. Brandeau United States
Stephen E. Chick France
Hassan Mina Iran
Lawrence M. Wein United States
Seyed M. R. Iravani United States
Sheldon H. Jacobson United States
Jayant Rajgopal relative to Bryan A. Norman United States Bryan A. Norman's profile →
Citations per field
00.5×3.3×
Bryan A. Norman · 1×
Citations per year

Countries citing papers authored by Jayant Rajgopal

Since Specialization
Citations

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

Fields of papers citing papers by Jayant Rajgopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayant Rajgopal

This figure shows the co-authorship network connecting the top 25 collaborators of Jayant Rajgopal. A scholar is included among the top collaborators of Jayant Rajgopal 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 Jayant Rajgopal. Jayant Rajgopal 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
#WorkIndexed citations
1 5
2 0
3 8
4 8
5 34
6 67
7 73
8 45
9 50
10 10
11 30
12 2
13 19
14 43
15 39
16 69
17 1
18 6
19 3
20 2

About Jayant Rajgopal

Jayant Rajgopal is a scholar working on Software, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (16 papers), COVID-19 epidemiological studies (13 papers) and Software Reliability and Analysis Research (13 papers). The work is most often cited by research in Management Information Systems (813 citations), Modeling and Simulation (292 citations) and Business and International Management (115 citations). Jayant Rajgopal has collaborated with scholars based in United States, Kuwait and Switzerland. Frequent co-authors include Fawaz Abdulmalek, Bryan A. Norman, Bruce Y. Lee, Shawn T. Brown, Kim LaScola Needy, M. Mazumdar, Sheng-I Chen, Angela R. Wateska, Diana L. Connor and Jung Lim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Technometrics.

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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