Bikash K. Pradhan
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Information Systems top 10%
- Cardiology and Cardiovascular Medicine
- Cognitive Neuroscience
- Co-authors
- Kunal PalSaugat BhattacharyyaSirsendu Sekhar RaySumit ChakravartyDoman KimDeepti BhartiSuraj Kumar NayakJ. Sivaraman
- Topics
- EEG and Brain-Computer Interfaces (6 papers)ECG Monitoring and Analysis (4 papers)IoT and Edge/Fog Computing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaNutrientsComputers in Biology and Medicine
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
Bikash K. Pradhan
14 papers receiving 358 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Networks and Communications 120
- Biomedical Engineering 85
- Information Systems 71
- Cardiology and Cardiovascular Medicine 57
- Cognitive Neuroscience 29
Countries citing papers authored by Bikash K. Pradhan
This map shows the geographic impact of Bikash K. Pradhan'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 Bikash K. Pradhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bikash K. Pradhan more than expected).
Fields of papers citing papers by Bikash K. Pradhan
This network shows the impact of papers produced by Bikash K. Pradhan. 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 Bikash K. Pradhan. The network helps show where Bikash K. Pradhan may publish in the future.
Co-authorship network of co-authors of Bikash K. Pradhan
This figure shows the co-authorship network connecting the top 25 collaborators of Bikash K. Pradhan. A scholar is included among the top collaborators of Bikash K. Pradhan 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 Bikash K. Pradhan. Bikash K. Pradhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 18 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 29 | |
| 7 | IoT-Based Applications in Healthcare Devicesbreakdown → | 212 |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | 6 |
About Bikash K. Pradhan
Bikash K. Pradhan is a scholar working on Medical Laboratory Technology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 370 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), ECG Monitoring and Analysis (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Health Informatics (16 citations), Computer Networks and Communications (120 citations) and Medical Laboratory Technology (7 citations). Bikash K. Pradhan has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Kunal Pal, Saugat Bhattacharyya, Sirsendu Sekhar Ray, Sumit Chakravarty, Doman Kim, Deepti Bharti, Suraj Kumar Nayak, J. Sivaraman, Maciej Jarzębski and А. П. Бонарцев. Their work appears in journals such as SHILAP Revista de lepidopterología, Nutrients and Computers in Biology and Medicine.
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.