Muddassar Rashid
- Atomic and Molecular Physics, and Optics top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Hendrik UlbrichtOnofrio M. MaragòPhilip H. JonesMarko TorošJamie VovroshJames BatemanMauro PaternostroTommaso Tufarelli
- Topics
- Mechanical and Optical Resonators (12 papers)Quantum Information and Cryptography (6 papers)Force Microscopy Techniques and Applications (4 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
- Journals
- Physical Review LettersNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United KingdomJapanUnited States
In The Last Decade
Muddassar Rashid
13 papers receiving 422 citations
Hit Papers
Peers
Comparison fields: 5 of 31
- Atomic and Molecular Physics, and Optics 421
- Biomedical Engineering 123
- Artificial Intelligence 107
- Electrical and Electronic Engineering 88
- Statistical and Nonlinear Physics 61
Countries citing papers authored by Muddassar Rashid
This map shows the geographic impact of Muddassar Rashid'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 Muddassar Rashid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muddassar Rashid more than expected).
Fields of papers citing papers by Muddassar Rashid
This network shows the impact of papers produced by Muddassar Rashid. 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 Muddassar Rashid. The network helps show where Muddassar Rashid may publish in the future.
Co-authorship network of co-authors of Muddassar Rashid
This figure shows the co-authorship network connecting the top 25 collaborators of Muddassar Rashid. A scholar is included among the top collaborators of Muddassar Rashid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muddassar Rashid. Muddassar Rashid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Massive quantum systems as interfaces of quantum mechanics and gravitybreakdown → | 17 |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 30 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 47 | |
| 9 | 14 | |
| 10 | 20 | |
| 11 | 78 | |
| 12 | 14 | |
| 13 | 70 | |
| 14 | 50 | |
| 15 | 74 |
About Muddassar Rashid
Muddassar Rashid is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 15 papers that have together received 438 indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (12 papers), Quantum Information and Cryptography (6 papers) and Force Microscopy Techniques and Applications (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (421 citations), Statistical and Nonlinear Physics (61 citations) and Artificial Intelligence (107 citations). Muddassar Rashid has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Hendrik Ulbricht, Onofrio M. Maragò, Philip H. Jones, Marko Toroš, Jamie Vovrosh, James Bateman, Mauro Paternostro, Tommaso Tufarelli, M. S. Kim and Andrea Vinante. Their work appears in journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.
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.