N. Narayanan
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Discrete Mathematics and Combinatorics top 5%
- Geometry and Topology top 10%
- Biomedical Engineering
- Co-authors
- Akhila Kumar SahuN. ChandrakumarG. SelvaraniS. PitchumaniP. SridharAbhishek BanerjeeA. V. JayanthanGerard J. Chang
- Topics
- Advanced Graph Theory Research (19 papers)Graph Labeling and Dimension Problems (16 papers)Limits and Structures in Graph Theory (10 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsAlgebra and Number Theory
In The Last Decade
N. Narayanan
24 papers receiving 324 citations
Peers
Comparison fields: 5 of 40
- Computational Theory and Mathematics 164
- Electrical and Electronic Engineering 144
- Discrete Mathematics and Combinatorics 80
- Geometry and Topology 61
- Biomedical Engineering 53
Countries citing papers authored by N. Narayanan
This map shows the geographic impact of N. Narayanan'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 N. Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Narayanan more than expected).
Fields of papers citing papers by N. Narayanan
This network shows the impact of papers produced by N. Narayanan. 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 N. Narayanan. The network helps show where N. Narayanan may publish in the future.
Co-authorship network of co-authors of N. Narayanan
This figure shows the co-authorship network connecting the top 25 collaborators of N. Narayanan. A scholar is included among the top collaborators of N. Narayanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Narayanan. N. Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 28 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | Further results on strong edge-colourings in outerplanar graphs. | 1 |
| 14 | 0 | |
| 15 | 23 | |
| 16 | 4 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 63 | |
| 20 | 14 |
About N. Narayanan
N. Narayanan is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Geometry and Topology, having authored 27 papers that have together received 334 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (19 papers), Graph Labeling and Dimension Problems (16 papers) and Limits and Structures in Graph Theory (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (80 citations), Computational Theory and Mathematics (164 citations) and Algebra and Number Theory (45 citations). N. Narayanan has collaborated with scholars based in India, France and Hungary. Frequent co-authors include Akhila Kumar Sahu, N. Chandrakumar, G. Selvarani, S. Pitchumani, P. Sridhar, Abhishek Banerjee, A. V. Jayanthan, Gerard J. Chang, C. R. Subramanian and S. V. Bhat. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Membrane Science and Discrete Applied 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.