Ashok Mondal
- Pulmonary and Respiratory Medicine
- Signal Processing top 5%
- Public Health, Environmental and Occupational Health
- Genetics
- Cardiology and Cardiovascular Medicine
- Co-authors
- Goutam SahaParthasarathi BhattacharyaA. K. PalG. P. SamantaHong TangProma BhattacharyaIshan SaxenaAnurag Kumar
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (14 papers)Phonocardiography and Auscultation Techniques (12 papers)Evolution and Genetic Dynamics (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Methods and Programs in BiomedicineIEEE Journal of Biomedical and Health Informatics
In The Last Decade
Ashok Mondal
30 papers receiving 298 citations
Peers
Comparison fields: 5 of 59
- Pulmonary and Respiratory Medicine 196
- Signal Processing 104
- Public Health, Environmental and Occupational Health 72
- Genetics 48
- Cardiology and Cardiovascular Medicine 43
Countries citing papers authored by Ashok Mondal
This map shows the geographic impact of Ashok Mondal'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 Ashok Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashok Mondal more than expected).
Fields of papers citing papers by Ashok Mondal
This network shows the impact of papers produced by Ashok Mondal. 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 Ashok Mondal. The network helps show where Ashok Mondal may publish in the future.
Co-authorship network of co-authors of Ashok Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Mondal. A scholar is included among the top collaborators of Ashok Mondal 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 Ashok Mondal. Ashok Mondal 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 25 | |
| 15 | 21 | |
| 16 | 7 | |
| 17 | 31 | |
| 18 | 14 | |
| 19 | 3 | |
| 20 | 34 |
About Ashok Mondal
Ashok Mondal is a scholar working on Modeling and Simulation, Signal Processing and Public Health, Environmental and Occupational Health, having authored 30 papers that have together received 308 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (14 papers), Phonocardiography and Auscultation Techniques (12 papers) and Evolution and Genetic Dynamics (9 papers). The work is most often cited by research in Signal Processing (104 citations), Modeling and Simulation (29 citations) and Pulmonary and Respiratory Medicine (196 citations). Ashok Mondal has collaborated with scholars based in India, China and Australia. Frequent co-authors include Goutam Saha, Parthasarathi Bhattacharya, A. K. Pal, G. P. Samanta, Hong Tang, Proma Bhattacharya, Ishan Saxena, Anurag Kumar, Anindya Dasgupta and Indranil Chakraborty. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and IEEE Journal of Biomedical and Health Informatics.
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.