George R. Thoma

178 papers and 4.1k indexed citations i.

About

George R. Thoma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, George R. Thoma has authored 178 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 83 papers in Artificial Intelligence and 53 papers in Molecular Biology. Recurrent topics in George R. Thoma’s work include Image Retrieval and Classification Techniques (75 papers), Biomedical Text Mining and Ontologies (52 papers) and AI in cancer detection (51 papers). George R. Thoma is often cited by papers focused on Image Retrieval and Classification Techniques (75 papers), Biomedical Text Mining and Ontologies (52 papers) and AI in cancer detection (51 papers). George R. Thoma collaborates with scholars based in United States, Thailand and United Kingdom. George R. Thoma's co-authors include Sameer Antani, Stefan Jaeger, L. Rodney Long, Sema Candemir, Dina Demner‐Fushman, Richard J. Maude, Mahdieh Poostchi, Kamolrat Silamut, Clement J. McDonald and Zhiyun Xue and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of George R. Thoma i

Fields of papers citing papers by George R. Thoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George R. Thoma. 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 George R. Thoma. The network helps show where George R. Thoma may publish in the future.

Countries citing papers authored by George R. Thoma

Since Specialization
Citations

This map shows the geographic impact of George R. Thoma'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 George R. Thoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George R. Thoma 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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