R.B. Bapat

2.9k citations
134 papers · 2.0k · h-index 22

Impact in

Papers in

R.B. Bapat

127 papers receiving 1.8k citations

Peers

R.B. Bapat
Comparison fields: 5 of 107
  • Geometry and Topology 980
  • Computational Theory and Mathematics 1.2k
  • Discrete Mathematics and Combinatorics 185
  • Computational Mathematics 33
  • Algebra and Number Theory 151
Replace Leslie Hogben with:
Leslie Hogben United States
Steve Kirkland Canada
Bryan L. Shader United States
Thomas Zasĺavsky United States
George Labahn Canada
Nikhil Srivastava United States
Jesús A. De Loera United States
Van H. Vu United States
Alexander Alexandrovich Razborov Russia
Vera T. Sós Hungary
R.B. Bapat relative to Leslie Hogben United States Leslie Hogben's profile →
Citations per field
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Citations per year

Countries citing papers authored by R.B. Bapat

Since Specialization
Citations

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

Fields of papers citing papers by R.B. Bapat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.B. Bapat. 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 R.B. Bapat. The network helps show where R.B. Bapat may publish in the future.

Co-authors

The 25 scholars most cited alongside R.B. Bapat, 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 R.B. Bapat Line = papers co-authored together R.B. Bapat 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 1997408
2 200388
3 200480
4 199071
5 201063
6 199860
7 200650
8 199949
9 201147
10 199844
11 198943
12
Resistance matrix of a weighted graph
200436
13 200631
14 200128
15 201527
16 200527
17 201325
18 200725
19 200524
20 201324

About R.B. Bapat

R.B. Bapat is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Algebra and Number Theory, Discrete Mathematics and Combinatorics and Numerical Analysis, having authored 134 papers that have together received 2.0k indexed citations. Recurring topics across this work include Graph theory and applications (74 papers), Matrix Theory and Algorithms (65 papers), Graph Labeling and Dimension Problems (31 papers), graph theory and CDMA systems (26 papers), Advanced Graph Theory Research (26 papers), Advanced Topics in Algebra (14 papers), Synthesis and Properties of Aromatic Compounds (12 papers) and Advanced Optimization Algorithms Research (11 papers). The work is most often cited by research in Geometry and Topology (980 citations), Computational Theory and Mathematics (1.2k citations), Discrete Mathematics and Combinatorics (185 citations), Computational Mathematics (33 citations) and Algebra and Number Theory (151 citations). R.B. Bapat has collaborated with scholars based in India, United States and Iran. Frequent co-authors include Thirukkannamangai E. S. Raghavan, Sukanta Pati, Steve Kirkland, K. Manjunatha Prasad, I. GUTMAN, Michael Neumann, Kinkar Chandra Das, K. P. S. Bhaskara Rao, Jerrold W. Grossman and Amey Kulkarni. Their work appears in journals such as Linear Algebra and its Applications, Discrete Mathematics, Electronic Journal of Linear Algebra, Linear and Multilinear Algebra and Applicable Analysis and Discrete Mathematics.

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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