Rajeev Kumar

698 citations
55 papers · 566 · h-index 13

Impact in

Papers in

Rajeev Kumar

51 papers receiving 542 citations

Peers

Rajeev Kumar
Comparison fields: 5 of 81
  • Computational Theory and Mathematics 211
  • Industrial and Manufacturing Engineering 112
  • Artificial Intelligence 245
  • Management Science and Operations Research 56
  • Software 17
Replace Huimin Zhang with:
Huimin Zhang China
Elizna Burger South Africa
Matthias Köppe United States
Ralph P. Grimaldi United States
Josef Schwarz Czechia
Dmitry A. Zaitsev Ukraine
Ryuhei Uehara Japan
Roland Wunderling Germany
Marek Kubale Poland
Tilak Agerwala United States
Rajeev Kumar relative to Huimin Zhang China Huimin Zhang's profile →
Citations per field
00.5×4.5×
Huimin Zhang · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002113
2
AWA*-a window constrained anytime heuristic search algorithm
200750
3 200640
4 201132
5 201127
6 200725
7 200923
8 200321
9 200519
10 200819
11 200317
12 200515
13 202015
14 201212
15 200012
16 201111
17 201911
18 20148
19 20077
20 20037

About Rajeev Kumar

Rajeev Kumar is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Science and Operations Research, having authored 55 papers that have together received 566 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (25 papers), Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (12 papers), Vehicle Routing Optimization Methods (7 papers), Scheduling and Timetabling Solutions (4 papers), VLSI and FPGA Design Techniques (4 papers), Formal Methods in Verification (4 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Computational Theory and Mathematics (211 citations), Industrial and Manufacturing Engineering (112 citations), Artificial Intelligence (245 citations), Management Science and Operations Research (56 citations) and Software (17 citations). Rajeev Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Peter Rockett, Nilanjan Banerjee, Sandip Aine, P.P. Chakrabarti, Pramod Kumar Singh, P. P. Chakrabarti, F. Nawaz Khan, Selvaraj Mohana Roopan, Sankaralingam Arunachalam and Jong Sung Jin. Their work appears in journals such as Applied Soft Computing, Journal of Radioanalytical and Nuclear Chemistry, ACM Transactions on Design Automation of Electronic Systems, ACM SIGPLAN Notices and Lecture notes in computer science.

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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