Countries citing papers authored by Lynette Hirschman
Since
Specialization
Citations
This map shows the geographic impact of Lynette Hirschman'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 Lynette Hirschman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynette Hirschman more than expected).
Fields of papers citing papers by Lynette Hirschman
This network shows the impact of papers produced by Lynette Hirschman. 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 Lynette Hirschman. The network helps show where Lynette Hirschman may publish in the future.
Co-authorship network of co-authors of Lynette Hirschman
This figure shows the co-authorship network connecting the top 25 collaborators of Lynette Hirschman.
A scholar is included among the top collaborators of Lynette Hirschman 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 Lynette Hirschman. Lynette Hirschman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hirschman, Lynette, Jong Cheol Park, Jun’ichi Tsujii, Cathy Wu, & Limsoon Wong. (2002). Literature Data Mining for Biology - Session Introduction.. 323–325.1 indexed citations
3.
Damianos, Laurie, Jay Ponte, George D. Wilson, et al.. (2002). Real users, real data, real problems: the MiTAP system for monitoring bio events. 357–362.8 indexed citations
Damianos, Laurie, et al.. (2000). Evaluating Multi-party Multi-modal Systems. Language Resources and Evaluation.5 indexed citations
7.
Walker, Marilyn, Lynette Hirschman, & John Aberdeen. (2000). Evaluation for Darpa Communicator Spoken Dialogue Systems. Language Resources and Evaluation.22 indexed citations
8.
Hirschman, Lynette, John D. Burger, David D. Palmer, & Peter Robinson. (1999). Evaluating Content Extraction From Audio Sources.5 indexed citations
9.
Day, David, et al.. (1998). Alembic Workbench corpus developrnent tool.. Language Resources and Evaluation. 1021–1030.1 indexed citations
10.
Hirschman, Lynette & Henry S. Thompson. (1997). Overview of evaluation in speech and natural language processing. Cambridge University Press eBooks. 409–414.43 indexed citations
11.
Hirschman, Lynette, et al.. (1997). Name Translation as a Machine Translation Evaluation Task.6 indexed citations
12.
Hirschman, Lynette. (1994). The roles of language processing in a spoken language interface. Europe PMC (PubMed Central). 217–237.6 indexed citations
13.
Chinchor, Nancy, David Lewis, & Lynette Hirschman. (1993). Evaluating message understanding systems: an analysis of the third message understanding conference (MUC-3). Computational Linguistics. 19(3). 409–449.92 indexed citations
14.
Hirschman, Lynette. (1991). Automated Pruning for a General Lexicon and Grammar.. Meeting of the Association for Computational Linguistics. 359–364.1 indexed citations
Hirschman, Lynette. (1989). A meta-rule treatment for English wh-constructions. MIT Press eBooks. 1–21.2 indexed citations
17.
Grishman, Ralph & Lynette Hirschman. (1986). PROTEUS and PUNDIT: Research in text understanding. Computational Linguistics. 141–145.3 indexed citations
18.
Hirschman, Lynette, et al.. (1981). Representing implicit and explicit time relations in narrative. International Joint Conference on Artificial Intelligence. 289–295.13 indexed citations
Hirschman, Lynette, Naomi Sager, & Margaret S. Lyman. (1979). Automatic Application of Health Care Criteria to Narrative Patient Records.. Europe PMC (PubMed Central). 105–113.4 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.