Ryan G. Gomes

8 total papers · 424 total citations
4 papers, 230 citations indexed

About

Ryan G. Gomes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Ryan G. Gomes has authored 4 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Ryan G. Gomes's work include Machine Learning and Algorithms (2 papers), Bayesian Methods and Mixture Models (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Ryan G. Gomes is often cited by papers focused on Machine Learning and Algorithms (2 papers), Bayesian Methods and Mixture Models (2 papers) and Gaussian Processes and Bayesian Inference (1 paper). Ryan G. Gomes collaborates with scholars based in United States. Ryan G. Gomes's co-authors include Andreas Krause, Pietro Perona and Max Welling and has published in prestigious journals such as Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Ryan G. Gomes

4 papers receiving 220 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryan G. Gomes 163 117 21 21 14 4 230
Mengmeng Ma 193 1.2× 114 1.0× 14 0.7× 36 1.7× 12 0.9× 7 315
Mathias Berglund 136 0.8× 80 0.7× 11 0.5× 32 1.5× 16 1.1× 5 244
Yuxuan Wei 181 1.1× 86 0.7× 16 0.8× 25 1.2× 16 1.1× 7 309
Linus Ericsson 97 0.6× 56 0.5× 11 0.5× 24 1.1× 8 0.6× 3 213
Tobias Domhan 216 1.3× 122 1.0× 27 1.3× 13 0.6× 14 1.0× 8 297
Felipe Petroski Such 124 0.8× 122 1.0× 21 1.0× 10 0.5× 8 0.6× 7 278
Linnan Wang 104 0.6× 80 0.7× 11 0.5× 13 0.6× 28 2.0× 7 195
Omid Tarkhaneh 179 1.1× 102 0.9× 43 2.0× 6 0.3× 12 0.9× 10 294
Markus Maier 113 0.7× 87 0.7× 24 1.1× 21 1.0× 7 0.5× 4 186
Robert Gens 176 1.1× 97 0.8× 39 1.9× 25 1.2× 4 0.3× 6 244

Countries citing papers authored by Ryan G. Gomes

Since Specialization
Citations

This map shows the geographic impact of Ryan G. 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 Ryan G. Gomes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan G. Gomes more than expected).

Fields of papers citing papers by Ryan G. Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan G. 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 Ryan G. Gomes. The network helps show where Ryan G. Gomes may publish in the future.

Co-authorship network of co-authors of Ryan G. Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan G. Gomes. A scholar is included among the top collaborators of Ryan G. 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 Ryan G. Gomes. Ryan G. Gomes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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