Mojtaba Haghighatlari
- Materials Chemistry
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Spectroscopy
- Co-authors
- Teresa Head‐GordonJie LiJohannes HachmannXingyi GuanFarnaz Heidar‐ZadehMohammad Atif Faiz AfzalOufan ZhangJulie D. Forman‐Kay
- Topics
- Machine Learning in Materials Science (8 papers)Protein Structure and Dynamics (6 papers)Computational Drug Discovery Methods (6 papers)
- Journals
- The Journal of Chemical PhysicsThe Journal of Physical Chemistry BThe Journal of Physical Chemistry C
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Mojtaba Haghighatlari
15 papers receiving 470 citations
Peers
Comparison fields: 5 of 76
- Materials Chemistry 316
- Molecular Biology 183
- Computational Theory and Mathematics 163
- Electrical and Electronic Engineering 58
- Spectroscopy 45
Countries citing papers authored by Mojtaba Haghighatlari
This map shows the geographic impact of Mojtaba Haghighatlari'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 Mojtaba Haghighatlari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Haghighatlari more than expected).
Fields of papers citing papers by Mojtaba Haghighatlari
This network shows the impact of papers produced by Mojtaba Haghighatlari. 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 Mojtaba Haghighatlari. The network helps show where Mojtaba Haghighatlari may publish in the future.
Co-authorship network of co-authors of Mojtaba Haghighatlari
This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Haghighatlari. A scholar is included among the top collaborators of Mojtaba Haghighatlari 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 Mojtaba Haghighatlari. Mojtaba Haghighatlari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 26 | |
| 4 | 39 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 93 | |
| 8 | 47 | |
| 9 | 46 | |
| 10 | 8 | |
| 11 | 85 | |
| 12 | 30 | |
| 13 | 37 | |
| 14 | 23 | |
| 15 | 15 |
About Mojtaba Haghighatlari
Mojtaba Haghighatlari is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Materials Chemistry, having authored 15 papers that have together received 476 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Protein Structure and Dynamics (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (163 citations), Materials Chemistry (316 citations) and Physical and Theoretical Chemistry (40 citations). Mojtaba Haghighatlari has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Teresa Head‐Gordon, Jie Li, Johannes Hachmann, Xingyi Guan, Farnaz Heidar‐Zadeh, Mohammad Atif Faiz Afzal, Oufan Zhang, Julie D. Forman‐Kay, João M. C. Teixeira and Akshaya Kumar Das. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and The Journal of Physical Chemistry C.
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.