Joseph Gomes
- Materials Chemistry top 5%
- Computational Theory and Mathematics top 0.2%
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Vijay S. PandeBharath RamsundarCaleb GeniesseZhenqin WuKarl LeswingEvan N. FeinbergBowen LiuPaul A. Wender
- Topics
- Advanced MIMO Systems Optimization (5 papers)Machine Learning in Materials Science (4 papers)Wireless Communication Networks Research (4 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionThe Journal of Physical Chemistry B
- Partner nations
- United StatesSouth Korea
In The Last Decade
Joseph Gomes
23 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Materials Chemistry 1.6k
- Computational Theory and Mathematics 1.5k
- Molecular Biology 1.2k
- Artificial Intelligence 376
- Biomedical Engineering 248
Countries citing papers authored by Joseph Gomes
This map shows the geographic impact of Joseph Gomes'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 Joseph Gomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Gomes more than expected).
Fields of papers citing papers by Joseph Gomes
This network shows the impact of papers produced by Joseph Gomes. 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 Joseph Gomes. The network helps show where Joseph Gomes may publish in the future.
Co-authorship network of co-authors of Joseph Gomes
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Gomes. A scholar is included among the top collaborators of Joseph Gomes 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 Joseph Gomes. Joseph Gomes 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 | 3 | |
| 3 | 7 | |
| 4 | 65 | |
| 5 | Pre-training Graph Neural Networks. | 5 |
| 6 | 60 | |
| 7 | MoleculeNet: a benchmark for molecular machine learningbreakdown → | 1696 |
| 8 | 184 | |
| 9 | 1 | |
| 10 | 60 | |
| 11 | Theoretical Simulations of Zeolite-Catalyzed Reactions | 1 |
| 12 | 30 | |
| 13 | 40 | |
| 14 | 79 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 3 |
About Joseph Gomes
Joseph Gomes is a scholar working on Inorganic Chemistry, Computer Networks and Communications and Signal Processing, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (5 papers), Machine Learning in Materials Science (4 papers) and Wireless Communication Networks Research (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.5k citations), Materials Chemistry (1.6k citations) and Catalysis (136 citations). Joseph Gomes has collaborated with scholars based in United States and South Korea. Frequent co-authors include Vijay S. Pande, Bharath Ramsundar, Caleb Geniesse, Zhenqin Wu, Karl Leswing, Evan N. Feinberg, Bowen Liu, Paul A. Wender, Jack L. Sloane and Stephen Ho. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.
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.