Ava Khamseh
Impact in
-
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
-
- Theoretical and Computational Physics
Papers in
-
- Quantum Chromodynamics and Particle Interactions 7
- Particle physics theoretical and experimental studies 6
- High-Energy Particle Collisions Research 5
- Black Holes and Theoretical Physics 1
-
- Single-cell and spatial transcriptomics 3
- Gene Regulatory Network Analysis 2
- Gene expression and cancer classification 1
- Co-authors
- Luigi Del Debbio (8 shared papers)T. Tsang (5 shared papers)Francesco Sanfilippo (3 shared papers)Andreas Jüttner (4 shared papers)Peter Boyle (2 shared papers)Michael Wilson (1 shared paper)Guido Cossu (1 shared paper)Tommaso Giani (1 shared paper)
- Journals
- Biostatistics (1 paper)Cancer Research (1 paper)Science Translational Medicine (1 paper)Molecular Systems Biology (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ava Khamseh
13 papers receiving 148 citations
Peers
Comparison fields: 5 of 41
- Nuclear and High Energy Physics 72
- Condensed Matter Physics 14
- Statistical and Nonlinear Physics 14
- Cell Biology 17
- Molecular Biology 29
Countries citing papers authored by Ava Khamseh
This map shows the geographic impact of Ava Khamseh'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 Ava Khamseh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ava Khamseh more than expected).
Fields of papers citing papers by Ava Khamseh
This network shows the impact of papers produced by Ava Khamseh. 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 Ava Khamseh. The network helps show where Ava Khamseh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ava Khamseh, 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 | 2017 | 43 | |
| 2 | 2019 | 29 | |
| 3 | 2019 | 21 | |
| 4 | 2020 | 13 | |
| 5 | 2018 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2017 | 10 | |
| 8 | 2025 | 4 | |
| 9 | 2015 | 3 | |
| 10 | 2018 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Ava Khamseh
Ava Khamseh is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistics and Probability, having authored 16 papers that have together received 149 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (7 papers), Particle physics theoretical and experimental studies (6 papers), High-Energy Particle Collisions Research (5 papers), Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Black Holes and Theoretical Physics (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (72 citations), Condensed Matter Physics (14 citations), Statistical and Nonlinear Physics (14 citations), Cell Biology (17 citations) and Molecular Biology (29 citations). Ava Khamseh has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Luigi Del Debbio, T. Tsang, Francesco Sanfilippo, Andreas Jüttner, Peter Boyle, Michael Wilson, Guido Cossu, Tommaso Giani, Nicolas Garrón and Thierry Voet. Their work appears in journals such as Biostatistics, Cancer Research, Science Translational Medicine, Molecular Systems Biology and EMBO Molecular Medicine.
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.