Mahesh Wickramasinghe
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Biomedical Engineering
- Electrochemistry top 10%
- Co-authors
- István Z. KissJürgen KurthsBjörn SchelterMarco ThielJens TimmerM. Carmen RomanoGregory S. YablonskyYong Zou
- Topics
- Nonlinear Dynamics and Pattern Formation (12 papers)Neural dynamics and brain function (6 papers)Electrochemical Analysis and Applications (5 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsCognitive Neuroscience
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mahesh Wickramasinghe
12 papers receiving 411 citations
Peers
Comparison fields: 5 of 50
- Computer Networks and Communications 340
- Cognitive Neuroscience 153
- Statistical and Nonlinear Physics 144
- Biomedical Engineering 138
- Electrochemistry 47
Countries citing papers authored by Mahesh Wickramasinghe
This map shows the geographic impact of Mahesh Wickramasinghe'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 Mahesh Wickramasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Wickramasinghe more than expected).
Fields of papers citing papers by Mahesh Wickramasinghe
This network shows the impact of papers produced by Mahesh Wickramasinghe. 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 Mahesh Wickramasinghe. The network helps show where Mahesh Wickramasinghe may publish in the future.
Co-authorship network of co-authors of Mahesh Wickramasinghe
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Wickramasinghe. A scholar is included among the top collaborators of Mahesh Wickramasinghe 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 Mahesh Wickramasinghe. Mahesh Wickramasinghe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 58 | |
| 4 | 178 | |
| 5 | 23 | |
| 6 | 5 | |
| 7 | 21 | |
| 8 | 16 | |
| 9 | 21 | |
| 10 | 56 | |
| 11 | 10 | |
| 12 | 23 |
About Mahesh Wickramasinghe
Mahesh Wickramasinghe is a scholar working on Electrochemistry, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 12 papers that have together received 422 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Neural dynamics and brain function (6 papers) and Electrochemical Analysis and Applications (5 papers). The work is most often cited by research in Computer Networks and Communications (340 citations), Statistical and Nonlinear Physics (144 citations) and Cognitive Neuroscience (153 citations). Mahesh Wickramasinghe has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include István Z. Kiss, Jürgen Kurths, Björn Schelter, Marco Thiel, Jens Timmer, M. Carmen Romano, Gregory S. Yablonsky, Yong Zou, Reik V. Donner and Michael Small. Their work appears in journals such as Physical Review Letters, PLoS ONE and Journal of The Electrochemical Society.
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.