Ryan G. Gomes

About

Ryan G. Gomes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Ryan G. Gomes has authored 4 papers receiving a total of 193 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 Industrial relations. Recurrent topics in Ryan G. Gomes’s work include Bayesian Methods and Mixture Models (2 papers), Machine Learning and Algorithms (2 papers) and Machine Learning and ELM (1 paper). Ryan G. Gomes is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Machine Learning and Algorithms (2 papers) and Machine Learning and ELM (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 CaltechAUTHORS (California Institute of Technology), 2009 IEEE Conference on Computer Vision and Pattern Recognition and Neural Information Processing Systems.

In The Last Decade

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

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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.

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).

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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