Susan Gauch

36 papers and 675 indexed citations i.

About

Susan Gauch is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Susan Gauch has authored 36 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Susan Gauch’s work include Semantic Web and Ontologies (14 papers), Topic Modeling (6 papers) and Information Retrieval and Search Behavior (6 papers). Susan Gauch is often cited by papers focused on Semantic Web and Ontologies (14 papers), Topic Modeling (6 papers) and Information Retrieval and Search Behavior (6 papers). Susan Gauch collaborates with scholars based in United States, Germany and Saudi Arabia. Susan Gauch's co-authors include Guijun Wang, John B. Smith, Mario Gómez, Jianying Wang, John B. Smith, John M. Gauch, Sultan Alfarhood, Anne M. Maglia, Mirco Speretta and Mario A. Goméz and has published in prestigious journals such as Journal of Food Science, Lara D. Veeken and Briefings in Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Susan Gauch i

Fields of papers citing papers by Susan Gauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Gauch. 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 Susan Gauch. The network helps show where Susan Gauch may publish in the future.

Countries citing papers authored by Susan Gauch

Since Specialization
Citations

This map shows the geographic impact of Susan Gauch'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 Susan Gauch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Gauch 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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2025