Lynette Hirschman

9.5k citations
161 papers · 5.5k indexed · h-index 37

Lynette Hirschman

154 papers receiving 4.9k citations

Peers

Lynette Hirschman
Comparison fields: 5 of 154
  • Artificial Intelligence 4.1k
  • Molecular Biology 2.6k
  • Health Information Management 157
  • Information Systems 488
  • Management Science and Operations Research 216
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Citations per year

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Lynette Hirschman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lynette Hirschman Line = papers co-authored together Lynette Hirschman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200837
2
Literature Data Mining for Biology - Session Introduction.
20021
3
Real users, real data, real problems: the MiTAP system for monitoring bio events
20028
4 200210
5 2002216
6
Evaluating Multi-party Multi-modal Systems
20005
7
Evaluation for Darpa Communicator Spoken Dialogue Systems
200022
8
Evaluating Content Extraction From Audio Sources
19995
9
Alembic Workbench corpus developrnent tool.
19981
10
Overview of evaluation in speech and natural language processing
199743
11
Name Translation as a Machine Translation Evaluation Task
19976
12
The roles of language processing in a spoken language interface
19946
13
Evaluating message understanding systems: an analysis of the third message understanding conference (MUC-3)
199392
14
Automated Pruning for a General Lexicon and Grammar.
19911
15 19914
16
A meta-rule treatment for English wh-constructions
19892
17
PROTEUS and PUNDIT: Research in text understanding
19863
18
Representing implicit and explicit time relations in narrative
198113
19 198019
20
Automatic Application of Health Care Criteria to Narrative Patient Records.
19794

About Lynette Hirschman

Lynette Hirschman is a scholar working on Artificial Intelligence, Health Information Management, Molecular Biology, Issues, ethics and legal aspects and Information Systems, having authored 161 papers that have together received 5.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (57 papers), Biomedical Text Mining and Ontologies (55 papers), Topic Modeling (42 papers), Speech and dialogue systems (38 papers), Semantic Web and Ontologies (38 papers), Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (12 papers) and Genetics, Bioinformatics, and Biomedical Research (9 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Molecular Biology (2.6k citations), Health Information Management (157 citations), Information Systems (488 citations) and Management Science and Operations Research (216 citations). Lynette Hirschman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Alexander Yeh, John Aberdeen, Alexander A. Morgan, Alfonso Valencia, John D. Burger, Marc Vilain, Robert Gaizauskas, Martin Krallinger, Marc Colosimo and Christian Blaschke. Their work appears in journals such as Database, BMC Bioinformatics, Journal of the American Medical Informatics Association, Language Resources and Evaluation and Bioinformatics.

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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