Abhijit Majumder
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- High-Energy Particle Collisions Research 48
- Particle physics theoretical and experimental studies 43
- Quantum Chromodynamics and Particle Interactions 38
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 4
- Astronomy and Astrophysics top 10%
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- Nuclear reactor physics and engineering 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 6
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- SARS-CoV-2 and COVID-19 Research 3
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- Evolution and Genetic Dynamics 3
- Co-authors
- Berndt MüllerXin-Nian WangGuang-You QinCharles GaleChun ShenSteffen A. BassAhmad IdilbiChiho Nonaka
- Journals
- Physical Review Letters (4 papers)Nuclear Physics A (6 papers)Chaos Solitons & Fractals (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Abhijit Majumder
56 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Nuclear and High Energy Physics 1.4k
- Modeling and Simulation 59
- Astronomy and Astrophysics 125
- Aerospace Engineering 64
- Public Health, Environmental and Occupational Health 65
Countries citing papers authored by Abhijit Majumder
This map shows the geographic impact of Abhijit Majumder'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 Abhijit Majumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Majumder more than expected).
Fields of papers citing papers by Abhijit Majumder
This network shows the impact of papers produced by Abhijit Majumder. 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 Abhijit Majumder. The network helps show where Abhijit Majumder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhijit Majumder, 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 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 35 | |
| 9 | 2016 | 11 | |
| 10 | 2016 | 2 | |
| 11 | Extracting the jet transport coefficient from jet quenching in high-energy heavy-ion collisionsbreakdown → | 2014 | 250 |
| 12 | 2014 | 8 | |
| 13 | 2013 | 33 | |
| 14 | 2013 | 25 | |
| 15 | 2012 | 40 | |
| 16 | 2010 | 61 | |
| 17 | 2008 | 3 | |
| 18 | 2007 | 85 | |
| 19 | 2006 | 1 | |
| 20 | 2005 | 4 |
About Abhijit Majumder
Abhijit Majumder is a scholar working on Nuclear and High Energy Physics, Modeling and Simulation and Astronomy and Astrophysics, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (48 papers), Particle physics theoretical and experimental studies (43 papers), Quantum Chromodynamics and Particle Interactions (38 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Nuclear reactor physics and engineering (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.4k citations), Modeling and Simulation (59 citations) and Astronomy and Astrophysics (125 citations). Abhijit Majumder has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Berndt Müller, Xin-Nian Wang, Guang-You Qin, Charles Gale, Chun Shen, Steffen A. Bass, Ahmad Idilbi, Chiho Nonaka, Nandadulal Bairagi and Debadatta Adak. Their work appears in journals such as Physical Review Letters, Nuclear Physics A and Chaos Solitons & Fractals.
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.