Nina Wacholder

29 papers and 505 indexed citations i.

About

Nina Wacholder is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Nina Wacholder has authored 29 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 11 papers in Information Systems and 4 papers in Molecular Biology. Recurrent topics in Nina Wacholder’s work include Advanced Text Analysis Techniques (13 papers), Topic Modeling (12 papers) and Natural Language Processing Techniques (10 papers). Nina Wacholder is often cited by papers focused on Advanced Text Analysis Techniques (13 papers), Topic Modeling (12 papers) and Natural Language Processing Techniques (10 papers). Nina Wacholder collaborates with scholars based in United States, The Netherlands and Australia. Nina Wacholder's co-authors include Smaranda Muresan, Roberto González‐Ibáñez, Misook Choi, Yael Ravin, Ying‐Hsang Liu, Debanjan Ghosh, Mark Aakhus, Robert Rittman, Lu Liu and Tomek Strzalkowski and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and Journal of the Association for Information Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Nina Wacholder i

Fields of papers citing papers by Nina Wacholder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nina Wacholder

Since Specialization
Citations

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