Mukesh Dhamala
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Experimental and Cognitive Psychology top 10%
- Neurology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Bhim M. AdhikariGanesh B. ChandBidhan LamichhaneSahil BajajAndrew J. ButlerDaniel DrakeCharles M. EpsteinZonghua Liu
- Topics
- Functional Brain Connectivity Studies (33 papers)Neural dynamics and brain function (30 papers)EEG and Brain-Computer Interfaces (14 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Mukesh Dhamala
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 907
- Radiology, Nuclear Medicine and Imaging 161
- Experimental and Cognitive Psychology 152
- Neurology 113
- Cellular and Molecular Neuroscience 111
Countries citing papers authored by Mukesh Dhamala
This map shows the geographic impact of Mukesh Dhamala'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 Mukesh Dhamala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Dhamala more than expected).
Fields of papers citing papers by Mukesh Dhamala
This network shows the impact of papers produced by Mukesh Dhamala. 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 Mukesh Dhamala. The network helps show where Mukesh Dhamala may publish in the future.
Co-authorship network of co-authors of Mukesh Dhamala
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Dhamala. A scholar is included among the top collaborators of Mukesh Dhamala 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 Mukesh Dhamala. Mukesh Dhamala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 15 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 34 | |
| 10 | 39 | |
| 11 | 61 | |
| 12 | 34 | |
| 13 | 70 | |
| 14 | 11 | |
| 15 | 19 | |
| 16 | 19 | |
| 17 | 31 | |
| 18 | 11 | |
| 19 | 23 | |
| 20 | 38 |
About Mukesh Dhamala
Mukesh Dhamala is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Music, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (33 papers), Neural dynamics and brain function (30 papers) and EEG and Brain-Computer Interfaces (14 papers). The work is most often cited by research in Cognitive Neuroscience (907 citations), Neurology (113 citations) and Experimental and Cognitive Psychology (152 citations). Mukesh Dhamala has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Bhim M. Adhikari, Ganesh B. Chand, Bidhan Lamichhane, Sahil Bajaj, Andrew J. Butler, Daniel Drake, Charles M. Epstein, Zonghua Liu, Hui Wu and Detlef Heck. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.