K. C. Garg

70 papers receiving 589 citations

Peers

K. C. Garg
Comparison fields: 5 of 127
  • Statistics, Probability and Uncertainty 250
  • Library and Information Sciences 14
  • Computer Science Applications 25
  • Information Systems and Management 31
  • Management of Technology and Innovation 28
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Citations per year

Countries citing papers authored by K. C. Garg

Since Specialization
Citations

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

Fields of papers citing papers by K. C. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. Garg. 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 K. C. Garg. The network helps show where K. C. Garg may publish in the future.

Co-authors

The 17 scholars most cited alongside K. C. Garg, 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 K. C. Garg Line = papers co-authored together K. C. Garg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200171
2 200940
3 200540
4 199931
5 201730
6 199828
7 199728
8 198525
9 200222
10 198621
11 198819
12 201318
13 200018
14 200618
15 200017
16 200316
17
Scientometric profile of Indian science as seen through Science Citation Index
200613
18
Bibliometrics and scientometrics in India: An overview of studies during 1995-2014, Part I: Indian publication output and its citation impact
201713
19 200513
20 199813

About K. C. Garg

K. C. Garg is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, General Agricultural and Biological Sciences, Information Systems and Plant Science, having authored 81 papers that have together received 723 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (17 papers), Agricultural Economics and Practices (7 papers), Malaria Research and Control (5 papers), Computational Drug Discovery Methods (4 papers), Mosquito-borne diseases and control (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Intellectual Property and Patents (3 papers) and Library Collection Development and Digital Resources (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (250 citations), Library and Information Sciences (14 citations), Computer Science Applications (25 citations), Information Systems and Management (31 citations) and Management of Technology and Innovation (28 citations). K. C. Garg has collaborated with scholars based in India, Italy and South Africa. Frequent co-authors include Suresh Kumar, Subbiah Arunachalam, Suresh Kumar, Mala Bahl, Mohan Rao, Suresh Kumar, V. Ramasubramanian, Vijay K. Bhatia, Ashok Kumar and Avijit Mahala. Their work appears in journals such as Scientometrics, DESIDOC Journal of Library & Information Technology, Current Science, World Patent Information and The Serials Librarian.

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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