Abraham C. Stern
- Materials Chemistry top 10%
- Inorganic Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Molecular Biology
- Co-authors
- Brian SpaceJonathan L. BelofDouglas J. TobiasChristopher J. MundyMarcel D. BaerArtem CherkasovFrancesco GentileMohamed Eddaoudi
- Topics
- Spectroscopy and Quantum Chemical Studies (8 papers)Machine Learning in Materials Science (6 papers)Computational Drug Discovery Methods (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Chemical Physics
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Abraham C. Stern
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Materials Chemistry 487
- Inorganic Chemistry 419
- Atomic and Molecular Physics, and Optics 379
- Computational Theory and Mathematics 250
- Molecular Biology 249
Countries citing papers authored by Abraham C. Stern
This map shows the geographic impact of Abraham C. Stern'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 Abraham C. Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abraham C. Stern more than expected).
Fields of papers citing papers by Abraham C. Stern
This network shows the impact of papers produced by Abraham C. Stern. 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 Abraham C. Stern. The network helps show where Abraham C. Stern may publish in the future.
Co-authorship network of co-authors of Abraham C. Stern
This figure shows the co-authorship network connecting the top 25 collaborators of Abraham C. Stern. A scholar is included among the top collaborators of Abraham C. Stern 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 Abraham C. Stern. Abraham C. Stern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep dockingbreakdown → | 218 |
| 3 | The transformational role of GPU computing and deep learning in drug discoverybreakdown → | 147 |
| 4 | 8 | |
| 5 | 46 | |
| 6 | 22 | |
| 7 | 38 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 147 | |
| 11 | 49 | |
| 12 | 12 | |
| 13 | 23 | |
| 14 | 72 | |
| 15 | 72 | |
| 16 | 29 | |
| 17 | Computer Simulation of Metal-Organic Materials | 1 |
| 18 | 48 | |
| 19 | 184 | |
| 20 | 7 |
About Abraham C. Stern
Abraham C. Stern is a scholar working on Filtration and Separation, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (8 papers), Machine Learning in Materials Science (6 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Filtration and Separation (63 citations), Inorganic Chemistry (419 citations) and Physical and Theoretical Chemistry (190 citations). Abraham C. Stern has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Brian Space, Jonathan L. Belof, Douglas J. Tobias, Christopher J. Mundy, Marcel D. Baer, Artem Cherkasov, Francesco Gentile, Mohamed Eddaoudi, Michael Fernández and Anh‐Tien Ton. 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.