Rajeev Kumar

781 citations
72 papers · 448 indexed · h-index 13

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research

Papers in

Rajeev Kumar

62 papers receiving 422 citations

Peers

Rajeev Kumar
Comparison fields: 5 of 73
  • Software 174
  • Information Systems 132
  • Management of Technology and Innovation 31
  • Hardware and Architecture 25
  • Artificial Intelligence 116
Replace Kristina Lundqvist with:
Kristina Lundqvist Sweden
Vander Alves Brazil
Elena Troubitsynå Finland
Paolo Lollini Italy
Panagiotis Katsaros Greece
Don Libes United States
David C. Rine United States
Wei Le United States
Atif Mashkoor Austria
Petr Hnětynka Czechia
Rajeev Kumar relative to Kristina Lundqvist Sweden Kristina Lundqvist's profile →
Citations per field
00.5×2.5×
Kristina Lundqvist · 1×
Citations per year

Countries citing papers authored by Rajeev Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201348
2 200134
3 201130
4 200819
5 200518
6 200516
7 201215
8 200615
9 200414
10 200614
11 201214
12
An Overview of Slicing Techniques for Object-Oriented Programs
200612
13 202312
14 202012
15 202410
16 202410
17
Dynamic Slicing of Aspect-Oriented Programs
20089
18 20059
19 20218
20 20067

About Rajeev Kumar

Rajeev Kumar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Software, Information Systems and Hardware and Architecture, having authored 72 papers that have together received 448 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (15 papers), Software Engineering Research (11 papers), Software Reliability and Analysis Research (8 papers), Parallel Computing and Optimization Techniques (8 papers), Anomaly Detection Techniques and Applications (6 papers), Advanced Optical Network Technologies (5 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Advanced Software Engineering Methodologies (5 papers). The work is most often cited by research in Software (174 citations), Information Systems (132 citations), Management of Technology and Innovation (31 citations), Hardware and Architecture (25 citations) and Artificial Intelligence (116 citations). Rajeev Kumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Mahesh Shirole, Durga Prasad Mohapatra, Rajib Mall, Ashok Kumar Turuk, Peter Rockett, Nilanjan Banerjee, Raees Ahmad Khan, P. P. Chakrabarti, Raja Datta and Kavita Sahu. Their work appears in journals such as ACM SIGPLAN Notices, Multimedia Tools and Applications, Pattern Recognition Letters, Photonic Network Communications and Image and Vision Computing.

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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