Farnaz Heidar‐Zadeh
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry top 10%
- Physical and Theoretical Chemistry top 1%
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Paul W. AyersToon VerstraelenRamón Alain Miranda‐QuintanaCarlos CárdenasPatrick BultinckStijn FiasEsteban Vöhringer‐MartinezTeresa Head‐Gordon
- Topics
- Advanced Chemical Physics Studies (25 papers)Machine Learning in Materials Science (15 papers)Spectroscopy and Quantum Chemical Studies (14 papers)
- Cited by
- Physical and Theoretical ChemistryComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
In The Last Decade
Farnaz Heidar‐Zadeh
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Atomic and Molecular Physics, and Optics 608
- Materials Chemistry 577
- Physical and Theoretical Chemistry 403
- Organic Chemistry 364
- Computational Theory and Mathematics 341
Countries citing papers authored by Farnaz Heidar‐Zadeh
This map shows the geographic impact of Farnaz Heidar‐Zadeh'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 Farnaz Heidar‐Zadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farnaz Heidar‐Zadeh more than expected).
Fields of papers citing papers by Farnaz Heidar‐Zadeh
This network shows the impact of papers produced by Farnaz Heidar‐Zadeh. 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 Farnaz Heidar‐Zadeh. The network helps show where Farnaz Heidar‐Zadeh may publish in the future.
Co-authorship network of co-authors of Farnaz Heidar‐Zadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Farnaz Heidar‐Zadeh. A scholar is included among the top collaborators of Farnaz Heidar‐Zadeh 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 Farnaz Heidar‐Zadeh. Farnaz Heidar‐Zadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 36 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 15 | |
| 20 | 29 |
About Farnaz Heidar‐Zadeh
Farnaz Heidar‐Zadeh is a scholar working on Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (25 papers), Machine Learning in Materials Science (15 papers) and Spectroscopy and Quantum Chemical Studies (14 papers). The work is most often cited by research in Physical and Theoretical Chemistry (403 citations), Computational Theory and Mathematics (341 citations) and Atomic and Molecular Physics, and Optics (608 citations). Farnaz Heidar‐Zadeh has collaborated with scholars based in Canada, Belgium and Chile. Frequent co-authors include Paul W. Ayers, Toon Verstraelen, Ramón Alain Miranda‐Quintana, Carlos Cárdenas, Patrick Bultinck, Stijn Fias, Esteban Vöhringer‐Martinez, Teresa Head‐Gordon, Shant Shahbazian and Xingyi Guan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.
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.