Mathew D. Halls
- Materials Chemistry top 2%
- Electrical and Electronic Engineering top 2%
- Organic Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 2%
- Biomedical Engineering top 5%
- Co-authors
- H. Bernhard SchlegelThomas F. HughesRichard A. FriesnerArteum D. BochevarovDavid RinaldoDean M. PhilippJing ZhangEdward Harder
- Topics
- Semiconductor materials and devices (30 papers)Machine Learning in Materials Science (23 papers)Molecular Junctions and Nanostructures (17 papers)
- Journals
- Journal of the American Chemical SocietyPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- United StatesJapanCanada
In The Last Decade
Mathew D. Halls
98 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Materials Chemistry 2.5k
- Electrical and Electronic Engineering 2.0k
- Organic Chemistry 1.2k
- Atomic and Molecular Physics, and Optics 903
- Biomedical Engineering 707
Countries citing papers authored by Mathew D. Halls
This map shows the geographic impact of Mathew D. Halls'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 Mathew D. Halls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathew D. Halls more than expected).
Fields of papers citing papers by Mathew D. Halls
This network shows the impact of papers produced by Mathew D. Halls. 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 Mathew D. Halls. The network helps show where Mathew D. Halls may publish in the future.
Co-authorship network of co-authors of Mathew D. Halls
This figure shows the co-authorship network connecting the top 25 collaborators of Mathew D. Halls. A scholar is included among the top collaborators of Mathew D. Halls 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 Mathew D. Halls. Mathew D. Halls 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 | 2 | |
| 3 | 40 | |
| 4 | 3 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 17 | |
| 9 | 0 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 16 | |
| 13 | 24 | |
| 14 | 39 | |
| 15 | 4 | |
| 16 | Jaguar: A high‐performance quantum chemistry software program with strengths in life and materials sciencesbreakdown → | 1484 |
| 17 | 56 | |
| 18 | 6 | |
| 19 | 63 | |
| 20 | 221 |
About Mathew D. Halls
Mathew D. Halls is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Physical and Theoretical Chemistry, having authored 104 papers that have together received 5.7k indexed citations. Recurring topics across this work include Semiconductor materials and devices (30 papers), Machine Learning in Materials Science (23 papers) and Molecular Junctions and Nanostructures (17 papers). The work is most often cited by research in Materials Chemistry (2.5k citations), Physical and Theoretical Chemistry (461 citations) and Organic Chemistry (1.2k citations). Mathew D. Halls has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include H. Bernhard Schlegel, Thomas F. Hughes, Richard A. Friesner, Arteum D. Bochevarov, David Rinaldo, Dean M. Philipp, Jing Zhang, Edward Harder, Jeremy R. Greenwood and Dale A. Braden. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters 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.