Rakesh Ranjan Kumar

1.3k citations
45 papers · 831 · h-index 16

Impact in

Papers in

    • IoT and Edge/Fog Computing 16
    • Caching and Content Delivery 5
    • Network Security and Intrusion Detection 4
    • Cloud Computing and Resource Management 13
    • Software Engineering Techniques and Practices 4
    • Software Engineering Research 4

Rakesh Ranjan Kumar

38 papers receiving 793 citations

Peers

Rakesh Ranjan Kumar
Comparison fields: 5 of 89
  • Information Systems 444
  • Management Science and Operations Research 229
  • Computer Networks and Communications 373
  • Management Information Systems 103
  • Signal Processing 72
Replace Hai Dong with:
Hai Dong Australia
Mohammad Shameem India
Raúl García‐Castro Spain
Pedro Sampaio United Kingdom
Hans‐Martin Neumann Austria
Muhammad Azeem Akbar China
Stefan Fenz Austria
Djamal Benslimane France
Peter Membrey Hong Kong
María Poveda‐Villalón Spain
Rakesh Ranjan Kumar relative to Hai Dong Australia Hai Dong's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rakesh Ranjan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Ranjan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 201788
3 201886
4 201762
5 202059
6 202342
7 202041
8 202037
9 202329
10 202427
11 201823
12 202320
13 202120
14 202017
15 201816
16 202315
17 202214
18 201613
19 201813
20
A Novel Approach for Sentiment Analysis and Opinion Mining
201411

About Rakesh Ranjan Kumar

Rakesh Ranjan Kumar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 45 papers that have together received 831 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (16 papers), Cloud Computing and Resource Management (13 papers), Multi-Criteria Decision Making (13 papers), Caching and Content Delivery (5 papers), Software Engineering Techniques and Practices (4 papers), Software Engineering Research (4 papers), Machine Learning and ELM (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Information Systems (444 citations), Management Science and Operations Research (229 citations), Computer Networks and Communications (373 citations), Management Information Systems (103 citations) and Signal Processing (72 citations). Rakesh Ranjan Kumar has collaborated with scholars based in India, Saudi Arabia and China. Frequent co-authors include Chiranjeev Kumar, Mohammad Shameem, Arif Ali Khan, Rohit Tiwari, B. Chandra, Shahid Hussain, Xuefeng Yan, Binita Kumari, Mohammad Nadeem and Zubair Ashraf. Their work appears in journals such as IEEE Access, Electronics, Applied Soft Computing, Journal of Materials Engineering and Performance and Scientific Reports.

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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