Gitanjali Poddar
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
Papers in
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- Particle physics theoretical and experimental studies 463
- High-Energy Particle Collisions Research 39
- Particle Detector Development and Performance 31
- Quantum Chromodynamics and Particle Interactions 8
- Astrophysics and Cosmic Phenomena 4
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- Energy Efficiency in Computing 2
Gitanjali Poddar
318 papers receiving 2.7k citations
Gitanjali Poddar's Hit Papers
Peers
Comparison fields: 5 of 36
- Nuclear and High Energy Physics 3.1k
- Information Systems and Management 18
- Astronomy and Astrophysics 35
- Statistical and Nonlinear Physics 18
- Artificial Intelligence 52
Countries citing papers authored by Gitanjali Poddar
This map shows the geographic impact of Gitanjali Poddar'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 Gitanjali Poddar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gitanjali Poddar more than expected).
Fields of papers citing papers by Gitanjali Poddar
This network shows the impact of papers produced by Gitanjali Poddar. 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 Gitanjali Poddar. The network helps show where Gitanjali Poddar may publish in the future.
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All Works
Showing the 20 most-cited of 515 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery Hit paper breakdown → | 2022 | 271 |
| 2 | Luminosity determination in pp collisions at $$\sqrt{s}=13$$ TeV using the ATLAS detector at the LHC Hit paper breakdown → | 2023 | 105 |
| 3 | 2023 | 86 | |
| 4 | 2023 | 80 | |
| 5 | Observation of quantum entanglement with top quarks at the ATLAS detector Hit paper breakdown → | 2024 | 69 |
| 6 | 2022 | 63 | |
| 7 | 2023 | 60 | |
| 8 | 2023 | 48 | |
| 9 | 2023 | 42 | |
| 10 | Software and computing for Run 3 of the ATLAS experiment at the LHC Hit paper breakdown → | 2025 | 41 |
| 11 | 2023 | 37 | |
| 12 | 2023 | 37 | |
| 13 | 2023 | 36 | |
| 14 | 2023 | 32 | |
| 15 | 2023 | 32 | |
| 16 | 2021 | 29 | |
| 17 | 2022 | 28 | |
| 18 | 2022 | 28 | |
| 19 | 2023 | 27 | |
| 20 | 2024 | 27 |
About Gitanjali Poddar
Gitanjali Poddar is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Information Systems and Management, Museology and Computer Networks and Communications, having authored 515 papers that have together received 3.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (463 papers), High-Energy Particle Collisions Research (39 papers), Particle Detector Development and Performance (31 papers), Quantum Chromodynamics and Particle Interactions (8 papers), Astrophysics and Cosmic Phenomena (4 papers), Green IT and Sustainability (2 papers), Energy Efficiency in Computing (2 papers) and Museums and Cultural Heritage (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (3.1k citations), Information Systems and Management (18 citations), Astronomy and Astrophysics (35 citations), Statistical and Nonlinear Physics (18 citations) and Artificial Intelligence (52 citations). Gitanjali Poddar has collaborated with scholars based in Switzerland, France and United States. Their work appears in journals such as Journal of High Energy Physics, The European Physical Journal C, Physics Letters B, Physical Review Letters and Physical review. D.
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.