Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Marti A. Hearst
Since
Specialization
Citations
This map shows the geographic impact of Marti A. Hearst'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 Marti A. Hearst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marti A. Hearst more than expected).
This network shows the impact of papers produced by Marti A. Hearst. 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 Marti A. Hearst. The network helps show where Marti A. Hearst may publish in the future.
Co-authorship network of co-authors of Marti A. Hearst
This figure shows the co-authorship network connecting the top 25 collaborators of Marti A. Hearst.
A scholar is included among the top collaborators of Marti A. Hearst based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Marti A. Hearst. Marti A. Hearst is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Foster, Jennifer, Marti A. Hearst, Joakim Nivre, & Shiqi Zhao. (2017). Report on ACL survey on preprint publishing and reviewing. Arrow@dit (Dublin Institute of Technology).1 indexed citations
Hearst, Marti A.. (2006). Design Recommendations for Hierarchical Faceted Search Interfaces. International ACM SIGIR Conference on Research and Development in Information Retrieval.114 indexed citations
10.
Divoli, Anna, Marti A. Hearst, Preslav Nakov, & Ariel Schwartz. (2006). BioText Team Report for the TREC 2006 Genomics Track.. Text REtrieval Conference.8 indexed citations
11.
Nakov, Preslav & Marti A. Hearst. (2005). A study of using search engine page hits as a proxy for n-gram frequencies. Recent Advances in Natural Language Processing. 347–353.16 indexed citations
12.
Nakov, Preslav, et al.. (2004). BioText Team Experiments for the TREC 2004 Genomics Track.. Text REtrieval Conference.6 indexed citations
13.
Hovy, Eduard, Marti A. Hearst, & Mari Ostendorf. (2003). HLT-NAACL 2003 : Human Language Technology conference of the North American Chapter of the Association for Computational Linguistics: companion volume : short parers, student research workshop, demonstrations, tutorial abstracts : May 27 to June 1, 2003, Edmonton, Alberta, Canada.7 indexed citations
Hearst, Marti A.. (1997). Presente y futuro de internet: Sistemas para consultar la red. Dialnet (Universidad de la Rioja). 105(248). 44–49.1 indexed citations
Hearst, Marti A., Jan Pedersen, Peter Pirolli, et al.. (1995). Xerox site report : Four TREC-4 tracks. Text REtrieval Conference. 97–119.9 indexed citations
19.
Schütze, Hinrich, Jan Pedersen, & Marti A. Hearst. (1994). Xerox TREC 3 report : combining exact and fuzzy predictors. Text REtrieval Conference. 21–27.7 indexed citations
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.