Darren A. Narayan

500 citations
36 papers · 332 · h-index 10

Impact in

Papers in

Darren A. Narayan

33 papers receiving 309 citations

Peers

Darren A. Narayan
Comparison fields: 5 of 97
  • Discrete Mathematics and Combinatorics 49
  • Algebra and Number Theory 41
  • Statistical and Nonlinear Physics 102
  • Geometry and Topology 66
  • Computational Theory and Mathematics 87
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Peter Walsh Canada
Giorgio Nicoletti Italy
Jiachen Ye China
Grzegorz Graff Poland
Johannes Rauh Germany
Michel Mendès France France
Timothy Y. Chow United States
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Dave Benson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Darren A. Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Darren A. Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darren A. Narayan. 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 Darren A. Narayan. The network helps show where Darren A. Narayan may publish in the future.

Co-authors

The 21 scholars most cited alongside Darren A. Narayan, 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 Darren A. Narayan Line = papers co-authored together Darren A. Narayan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200444
2 201638
3 200238
4 201536
5 201825
6 201823
7 200219
8 200015
9 200813
10 201312
11 20069
12 20176
13 20106
14 20096
15 20155
16 20135
17 20165
18 20073
19 20032
20
Towards a characterization of graphs with distinct betweenness centralities.
20172

About Darren A. Narayan

Darren A. Narayan is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 36 papers that have together received 332 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (18 papers), Graph Labeling and Dimension Problems (11 papers), graph theory and CDMA systems (8 papers), Complexity and Algorithms in Graphs (7 papers), Complex Network Analysis Techniques (7 papers), Graph theory and applications (6 papers), Mathematics and Applications (5 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (49 citations), Algebra and Number Theory (41 citations), Statistical and Nonlinear Physics (102 citations), Geometry and Topology (66 citations) and Computational Theory and Mathematics (87 citations). Darren A. Narayan has collaborated with scholars based in United States, Slovakia and Ireland. Frequent co-authors include Nathan D. Cahill, Garth Isaak, Roger I. Vargas, Bradford Z. Mahon, Courtney Marie Cora Jones, Frank E. Garcea, Jeffrey J. Bazarian, Beau Abar, Kian Merchant‐Borna and Quanjing Chen. Their work appears in journals such as Social Network Analysis and Mining, Discrete Mathematics, Journal of Graph Theory, Physica A Statistical Mechanics and its Applications and Brain Structure and Function.

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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