Chiranjeev Kumar

2.0k citations
134 papers · 1.4k · h-index 20

Impact in

Papers in

Chiranjeev Kumar

124 papers receiving 1.3k citations

Peers

Chiranjeev Kumar
Comparison fields: 5 of 103
  • Software 131
  • Computer Networks and Communications 680
  • Information Systems 469
  • Management Science and Operations Research 176
  • Statistics, Probability and Uncertainty 93
Replace Francesco Longo with:
Francesco Longo Italy
Li Xia China
Seppo Sierla Finland
Bernhard Mitschang Germany
Jaume Barceló Spain
William J. Knottenbelt United Kingdom
Andreas Rausch Germany
Martin Wollschlaeger Germany
Vyacheslav Kharchenko Ukraine
Pankesh Patel India
Chiranjeev Kumar relative to Francesco Longo Italy Francesco Longo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chiranjeev Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Chiranjeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 134 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201886
3 201762
4 201653
5 201752
6 201648
7 202041
8 202139
9 201632
10 201927
11 201525
12 201823
13 202223
14 202123
15 201823
16 202021
17 202121
18 202120
19 201520
20 201820

About Chiranjeev Kumar

Chiranjeev Kumar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Software and Statistics, Probability and Uncertainty, having authored 134 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (28 papers), Opportunistic and Delay-Tolerant Networks (25 papers), Energy Efficient Wireless Sensor Networks (19 papers), Software Reliability and Analysis Research (18 papers), Wireless Communication Networks Research (13 papers), Software System Performance and Reliability (13 papers), Caching and Content Delivery (12 papers) and Risk and Safety Analysis (12 papers). The work is most often cited by research in Software (131 citations), Computer Networks and Communications (680 citations), Information Systems (469 citations), Management Science and Operations Research (176 citations) and Statistics, Probability and Uncertainty (93 citations). Chiranjeev Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Rakesh Ranjan Kumar, Mohammad Shameem, B. Chandra, Lalit Kumar Singh, Sachin Tripathi, Haider Banka, Praveen Lalwani, Arif Ali Khan, Mohd Naseem and Dharavath Ramesh. Their work appears in journals such as Wireless Personal Communications, Arabian Journal for Science and Engineering, Soft Computing, Quality and Reliability Engineering International and Annals of Nuclear Energy.

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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