Joseph Gomes

4.5k total citations · 2 hit papers
26 papers, 2.6k citations indexed

About

Joseph Gomes is a scholar working on Computer Networks and Communications, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Joseph Gomes has authored 26 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Materials Chemistry and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Joseph Gomes's work include Advanced MIMO Systems Optimization (5 papers), Machine Learning in Materials Science (4 papers) and Wireless Communication Networks Research (4 papers). Joseph Gomes is often cited by papers focused on Advanced MIMO Systems Optimization (5 papers), Machine Learning in Materials Science (4 papers) and Wireless Communication Networks Research (4 papers). Joseph Gomes collaborates with scholars based in United States and South Korea. Joseph Gomes's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Joseph Gomes

23 papers receiving 2.6k citations

Hit Papers

MoleculeNet: a benchmark for molecular machine learning 2017 2026 2020 2023 2017 2017 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MoleculeNet: a benchmark for molecular machine learning
    2017 1.7k citations Zhenqin Wu, Bharath Ramsundar et al. Chemical Science profile →
  2. Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence Models
    2017 358 citations Bharath Ramsundar, Joseph Gomes et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph Gomes United States 10 1.6k 1.5k 1.2k 376 248 26 2.6k
Marwin Segler United Kingdom 14 1.9k 1.2× 2.0k 1.3× 1.3k 1.1× 295 0.8× 465 1.9× 21 3.2k
Florian Häse Canada 20 1.6k 1.0× 869 0.6× 625 0.5× 258 0.7× 551 2.2× 25 2.7k
Michael Gastegger Germany 14 1.7k 1.1× 877 0.6× 583 0.5× 146 0.4× 140 0.6× 24 2.2k
Steven Kearnes United States 8 1.2k 0.8× 1.1k 0.7× 723 0.6× 224 0.6× 145 0.6× 17 1.8k
Katja Hansen Germany 14 1.8k 1.1× 1.2k 0.8× 576 0.5× 162 0.4× 121 0.5× 16 2.4k
Mark P. Waller Germany 23 2.0k 1.3× 1.7k 1.1× 1.7k 1.4× 236 0.6× 437 1.8× 52 4.2k
Philippe Schwaller Switzerland 21 2.9k 1.8× 1.3k 0.9× 852 0.7× 376 1.0× 481 1.9× 51 3.9k
Luke Rogers United States 10 1.1k 0.7× 792 0.5× 567 0.5× 181 0.5× 669 2.7× 15 2.1k
Matteo Aldeghi Germany 25 971 0.6× 925 0.6× 1.5k 1.3× 124 0.3× 407 1.6× 40 3.2k
Igor I. Baskin Russia 30 1.5k 1.0× 3.0k 2.0× 1.9k 1.7× 193 0.5× 266 1.1× 145 4.7k

Countries citing papers authored by Joseph Gomes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Gomes, Joseph, et al.. (2025). Incorporation of Internal Coordinates Interpolation into the Freezing String Method. Journal of Chemical Theory and Computation. 21(23). 12110–12120.
2.
Gomes, Joseph, et al.. (2024). Leveraging Deep Learning as a New Approach to Layer Detection and Cloud–Aerosol Classification Using ICESat-2 Atmospheric Data. Remote Sensing. 16(13). 2344–2344. 3 indexed citations
3.
Samanta, Avik, et al.. (2021). Effect of silver electrode wetting state on oxygen reduction electrochemistry. Chemical Communications. 57(65). 8003–8006. 7 indexed citations
4.
Hinckley, Allison C., et al.. (2020). Air-Stability and Carrier Type in Conductive M3(Hexaaminobenzene)2, (M = Co, Ni, Cu). Journal of the American Chemical Society. 142(25). 11123–11130. 65 indexed citations
5.
Hu, Weihua, Bowen Liu, Joseph Gomes, et al.. (2019). Pre-training Graph Neural Networks.. arXiv (Cornell University). 5 indexed citations
6.
Hu, Weihua, Bowen Liu, Joseph Gomes, et al.. (2019). Strategies for Pre-training Graph Neural Networks. arXiv (Cornell University). 60 indexed citations
7.
Wu, Zhenqin, Bharath Ramsundar, Evan N. Feinberg, et al.. (2017). MoleculeNet: a benchmark for molecular machine learning. Chemical Science. 9(2). 513–530. 1696 indexed citations breakdown →
8.
Wang, Lee‐Ping, Keri A. McKiernan, Joseph Gomes, et al.. (2017). Building a More Predictive Protein Force Field: A Systematic and Reproducible Route to AMBER-FB15. The Journal of Physical Chemistry B. 121(16). 4023–4039. 184 indexed citations
9.
Gomes, Joseph, et al.. (2017). DeepStar® Global Offshore Technology Development Program 12504: Real-time Monitoring for Critical Barriers. Offshore Technology Conference. 1 indexed citations
10.
Shylesh, Sankaranarayanapillai, Sanil Sreekumar, Joseph Gomes, et al.. (2015). Catalytic Upgrading of Biomass‐Derived Methyl Ketones to Liquid Transportation Fuel Precursors by an Organocatalytic Approach. Angewandte Chemie International Edition. 54(15). 4673–4677. 60 indexed citations
11.
Gomes, Joseph. (2015). Theoretical Simulations of Zeolite-Catalyzed Reactions. eScholarship (California Digital Library). 1 indexed citations
12.
Shylesh, Sankaranarayanapillai, David Hanna, Joseph Gomes, et al.. (2014). The Role of Hydroxyl Group Acidity on the Activity of Silica‐Supported Secondary Amines for the Self‐Condensation of n‐Butanal. ChemSusChem. 8(3). 466–472. 30 indexed citations
13.
Shylesh, Sankaranarayanapillai, David Hanna, Joseph Gomes, et al.. (2014). Tailoring the Cooperative Acid–Base Effects in Silica‐Supported Amine Catalysts: Applications in the Continuous Gas‐Phase Self‐Condensation of n‐Butanal. ChemCatChem. 6(5). 1283–1290. 40 indexed citations
14.
Hauser, Andreas, Joseph Gomes, Michal Bajdich, Martin Head‐Gordon, & Alexis T. Bell. (2013). Subnanometer-sized Pt/Sn alloy cluster catalysts for the dehydrogenation of linear alkanes. Physical Chemistry Chemical Physics. 15(47). 20727–20727. 79 indexed citations
15.
Gomes, Joseph, et al.. (2013). A linear-time algorithm for optimal multi-channel access in Cognitive Radio Networks. 1–6. 3 indexed citations
16.
Gomes, Joseph, et al.. (2013). Resource discovery algorithms for channel aggregation in Cognitive Radio Networks. 309–314. 6 indexed citations
17.
Gomes, Joseph, et al.. (2013). A polynomial-time algorithm for optimizing channel selection in Cognitive Radio Networks. 1559–1564. 4 indexed citations
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19.
20.
Gomes, Joseph & Hyeong‐Ah Choi. (2006). Cost-based Solution for Optimizing Multi-join Queries over Distributed Streaming Sensor Data. 23. 1–9. 3 indexed citations

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.

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