Ingrid Zukerman

93 papers and 853 indexed citations i.

About

Ingrid Zukerman is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ingrid Zukerman has authored 93 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 14 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ingrid Zukerman’s work include Topic Modeling (31 papers), Natural Language Processing Techniques (29 papers) and Speech and dialogue systems (25 papers). Ingrid Zukerman is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (29 papers) and Speech and dialogue systems (25 papers). Ingrid Zukerman collaborates with scholars based in Australia, United States and United Kingdom. Ingrid Zukerman's co-authors include David Albrecht, Fabian Bohnert, Bhavani Raskutti, Yanir Seroussi, Kevin B. Korb, Diane Litman, Gholamreza Haffari, Christopher Leckie, Sandra Carberry and Quan Hung Tran and has published in prestigious journals such as Artificial Intelligence, Journal of the American Medical Informatics Association and Risk Analysis.

In The Last Decade

Co-authorship network of co-authors of Ingrid Zukerman i

Fields of papers citing papers by Ingrid Zukerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ingrid Zukerman

Since Specialization
Citations

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