Dan Goldwasser

58 papers and 676 indexed citations i.

About

Dan Goldwasser is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Dan Goldwasser has authored 58 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 12 papers in Information Systems and 10 papers in Communication. Recurrent topics in Dan Goldwasser’s work include Topic Modeling (27 papers), Natural Language Processing Techniques (17 papers) and Sentiment Analysis and Opinion Mining (13 papers). Dan Goldwasser is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (17 papers) and Sentiment Analysis and Opinion Mining (13 papers). Dan Goldwasser collaborates with scholars based in United States, Israel and Italy. Dan Goldwasser's co-authors include Dan Roth, Kristen Johnson, Hal Daumé, Lise Getoor, Arti Ramesh, Bert Huang, María Leonor Pacheco, Vivek Srikumar, Ming‐Wei Chang and Roi Reichart and has published in prestigious journals such as Machine Learning, IEEE Transactions on Visualization and Computer Graphics and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Co-authorship network of co-authors of Dan Goldwasser i

Fields of papers citing papers by Dan Goldwasser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Goldwasser

Since Specialization
Citations

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