R.B. Bapat

2.8k citations
123 papers · 1.8k · h-index 21

Impact in

Papers in

R.B. Bapat

119 papers receiving 1.7k citations

Peers

R.B. Bapat
Comparison fields: 5 of 106
  • Geometry and Topology 907
  • Computational Theory and Mathematics 1.1k
  • Discrete Mathematics and Combinatorics 166
  • Computational Mathematics 29
  • Algebra and Number Theory 146
Replace Saugata Basu with:
Saugata Basu United States
Marie-Françoise Roy France
Steve Kirkland Canada
Leslie Hogben United States
Thomas Zasĺavsky United States
George Labahn Canada
H. J. Ryser United States
Marko Petkovšek Slovenia
Jesús A. De Loera United States
E. G. Straus United States
R.B. Bapat relative to Saugata Basu United States Saugata Basu's profile →
Citations per field
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Saugata Basu · 1×
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 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997369
2 200383
3 200472
4 199065
5 201059
6 199855
7 200647
8 199945
9 201141
10 199837
11
Resistance matrix of a weighted graph
200435
12 198933
13 200628
14 200525
15 201325
16 200125
17 201524
18 200523
19 200723
20 201322

About R.B. Bapat

R.B. Bapat is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering, Algebra and Number Theory and Organic Chemistry, having authored 123 papers that have together received 1.8k indexed citations. Recurring topics across this work include Graph theory and applications (68 papers), Matrix Theory and Algorithms (61 papers), Graph Labeling and Dimension Problems (30 papers), Advanced Graph Theory Research (25 papers), graph theory and CDMA systems (24 papers), Advanced Topics in Algebra (14 papers), Synthesis and Properties of Aromatic Compounds (11 papers) and Advanced Optimization Algorithms Research (11 papers). The work is most often cited by research in Geometry and Topology (907 citations), Computational Theory and Mathematics (1.1k citations), Discrete Mathematics and Combinatorics (166 citations), Computational Mathematics (29 citations) and Algebra and Number Theory (146 citations). R.B. Bapat has collaborated with scholars based in India, United States and Iran. Frequent co-authors include T. E. S. Raghavan, Sukanta Pati, Steve Kirkland, İvan Gutman, Kinkar Chandra Das, Michael Neumann, K. P. S. Bhaskara Rao, K. Manjunatha Prasad, Amey Kulkarni and Jerrold W. Grossman. 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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