Renu Laskar

1.7k citations
52 papers · 940 · h-index 15

Impact in

Papers in

Renu Laskar

49 papers receiving 820 citations

Peers

Renu Laskar
Comparison fields: 5 of 59
  • Discrete Mathematics and Combinatorics 202
  • Computational Theory and Mathematics 781
  • Geometry and Topology 192
  • Computer Networks and Communications 237
  • Algebra and Number Theory 24
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Bohdan Zelinka Czechia
Stéphan Thomassé France
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Frédéric Maffray France
Ronald D. Dutton United States
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Citations per field
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Citations per year

Countries citing papers authored by Renu Laskar

Since Specialization
Citations

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

Fields of papers citing papers by Renu Laskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978124
2 1999105
3 199086
4 198466
5 199355
6 197653
7 198333
8 198431
9 196931
10 196729
11 200529
12 198627
13 200023
14 200321
15 198718
16 198814
17 197214
18 199714
19 200813
20 199613

About Renu Laskar

Renu Laskar is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 52 papers that have together received 940 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (35 papers), Graph Labeling and Dimension Problems (23 papers), Graph theory and applications (17 papers), graph theory and CDMA systems (16 papers), Limits and Structures in Graph Theory (6 papers), Complexity and Algorithms in Graphs (6 papers), Interconnection Networks and Systems (4 papers) and Nuclear Receptors and Signaling (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (202 citations), Computational Theory and Mathematics (781 citations), Geometry and Topology (192 citations), Computer Networks and Communications (237 citations) and Algebra and Number Theory (24 citations). Renu Laskar has collaborated with scholars based in United States, Netherlands and South Africa. Frequent co-authors include Stephen T. Hedetniemi, Martin Charles Golumbic, Gayla S. Domke, Sandra M. Hedetniemi, Johannes H. Hattingh, Douglas R. Shier, R. C. Bose, Jean E. Dunbar, Wayne Goddard and D. G. Hoffman. Their work appears in journals such as Discrete Mathematics, Discrete Applied Mathematics, Networks, Journal of Combinatorial Theory Series B and Journal of Graph Theory.

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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