Suman Majumdar
- Astronomy and Astrophysics top 2%
- Radio Astronomy Observations and Technology 47
- Galaxies: Formation, Evolution, Phenomena 18
-
- Astrophysics and Cosmic Phenomena 33
- Instrumentation top 10%
- Advanced Optical Sensing Technologies 7
- Aerospace Engineering top 5%
- Antenna Design and Optimization 13
- Environmental Engineering top 10%
- Soil Moisture and Remote Sensing 7
-
- Millimeter-Wave Propagation and Modeling 6
-
- Bayesian Methods and Mixture Models 5
- Co-authors
- Somnath BharadwajRajesh MondalGarrelt MellemaKanan K. DattaTirthankar Roy ChoudhuryJonathan R. PritchardYaoqi ZhangIlian T. Iliev
- Journals
- Nature (1 paper)Monthly Notices of the Royal Astronomical Society (32 papers)The Annals of Statistics (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Suman Majumdar
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Astronomy and Astrophysics 981
- Nuclear and High Energy Physics 662
- Instrumentation 69
- Aerospace Engineering 326
- Environmental Engineering 113
Countries citing papers authored by Suman Majumdar
This map shows the geographic impact of Suman Majumdar'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 Suman Majumdar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suman Majumdar more than expected).
Fields of papers citing papers by Suman Majumdar
This network shows the impact of papers produced by Suman Majumdar. 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 Suman Majumdar. The network helps show where Suman Majumdar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suman Majumdar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 14 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 10 | |
| 16 | 2015 | 39 | |
| 17 | 2015 | 47 | |
| 18 | Greenhouse gas inventory estimates for India | 2011 | 23 |
| 19 | 1995 | 1 | |
| 20 | 1977 | 0 |
About Suman Majumdar
Suman Majumdar is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radio Astronomy Observations and Technology (47 papers), Astrophysics and Cosmic Phenomena (33 papers), Galaxies: Formation, Evolution, Phenomena (18 papers), Antenna Design and Optimization (13 papers), Advanced Optical Sensing Technologies (7 papers), Soil Moisture and Remote Sensing (7 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Astronomy and Astrophysics (981 citations), Nuclear and High Energy Physics (662 citations) and Instrumentation (69 citations). Suman Majumdar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Somnath Bharadwaj, Rajesh Mondal, Garrelt Mellema, Kanan K. Datta, Tirthankar Roy Choudhury, Jonathan R. Pritchard, Yaoqi Zhang, Ilian T. Iliev, Catherine A Watkinson and Chad Pierskalla. Their work appears in journals such as Nature, Monthly Notices of the Royal Astronomical Society and The Annals of Statistics.
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.