Pankaj Jain
-
- Particle physics theoretical and experimental studies 31
- Quantum Chromodynamics and Particle Interactions 30
- Astrophysics and Cosmic Phenomena 23
- Dark Matter and Cosmic Phenomena 20
- High-Energy Particle Collisions Research 19
- Astronomy and Astrophysics top 2%
- Cosmology and Gravitation Theories 46
- Galaxies: Formation, Evolution, Phenomena 20
- Radio Astronomy Observations and Technology 18
- Polymers and Plastics top 10%
Pankaj Jain
128 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 63
- Nuclear and High Energy Physics 1.3k
- Astronomy and Astrophysics 878
- Statistical and Nonlinear Physics 147
- Polymers and Plastics 102
- Instrumentation 22
Countries citing papers authored by Pankaj Jain
This map shows the geographic impact of Pankaj Jain'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 Pankaj Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Jain more than expected).
Fields of papers citing papers by Pankaj Jain
This network shows the impact of papers produced by Pankaj Jain. 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 Pankaj Jain. The network helps show where Pankaj Jain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pankaj Jain, 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 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 6 | |
| 10 | 2015 | 11 | |
| 11 | ELKO as dark matter candidate | 2014 | 1 |
| 12 | 2008 | 5 | |
| 13 | Bounds on Extended Godel-Type Metrics from Type Ia Supernova Data | 2005 | 1 |
| 14 | Evidence for Evolution or Bias in Host Extinctions of Type 1a Supernovae at High Redshift | 2005 | 4 |
| 15 | 2002 | 17 | |
| 16 | 2001 | 14 | |
| 17 | 2001 | 3 | |
| 18 | Heavy Meson Radiative Decays and Light Vector Meson Dominance | 1994 | 1 |
| 19 | 1991 | 1 | |
| 20 | Positron annihilation : proceedings of the Seventh International Conference on Positron Annihilation, New Delhi, India, January 6-11, 1985 | 1985 | 6 |
About Pankaj Jain
Pankaj Jain is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Acoustics and Ultrasonics, having authored 136 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (46 papers), Particle physics theoretical and experimental studies (31 papers), Quantum Chromodynamics and Particle Interactions (30 papers), Astrophysics and Cosmic Phenomena (23 papers), Dark Matter and Cosmic Phenomena (20 papers), Galaxies: Formation, Evolution, Phenomena (20 papers), High-Energy Particle Collisions Research (19 papers) and Radio Astronomy Observations and Technology (18 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.3k citations), Astronomy and Astrophysics (878 citations) and Statistical and Nonlinear Physics (147 citations). Pankaj Jain has collaborated with scholars based in India, United States and China. Frequent co-authors include John P. Ralston, Herman J. Munczek, J. Schechter, Prabhakar Tiwari, R. P. Johnson, Rajib Saha, Sukanta Panda, Pavan K. Aluri, Douglas W. McKay and Tarun Souradeep.
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.