Lisa Ferro

667 citations
31 papers · 396 · h-index 10

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Semantic Web and Ontologies
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
  • Law top 5%
    • Legal Education and Practice Innovations

Papers in

Lisa Ferro

28 papers receiving 322 citations

Peers

Lisa Ferro
Comparison fields: 5 of 49
  • Artificial Intelligence 295
  • Law 33
  • Political Science and International Relations 75
  • Health Informatics 4
  • Information Systems 60
Replace Shuzi Niu with:
Shuzi Niu China
Erich Schweighofer Austria
Prodromos Malakasiotis Greece
Jack G. Conrad United States
Zhunchen Luo China
Stefanie Brüninghaus United States
Fabio Del Vigna Italy
Ngo Xuan Bach Vietnam
Juliano Rabelo Canada
Nut Limsopatham United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lisa Ferro

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Ferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lisa Ferro, 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 Lisa Ferro Line = papers co-authored together Lisa Ferro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
2003 Standard for the Annotation of Temporal Expressions
200495
2 202056
3 200031
4 200130
5
A Sys Called Qanda.
199926
6 201924
7 200522
8 200119
9 200317
10 200512
11 20249
12
Annotating temporal information: from theory to practice
20028
13
Event99: A proposed event indexing task for broadcast news
19996
14 19996
15 20195
16
Another Sys Called Qanda.
20004
17 20244
18 20243
19 20243
20 20023

About Lisa Ferro

Lisa Ferro is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Nuclear and High Energy Physics, Radiation and Political Science and International Relations, having authored 31 papers that have together received 396 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (11 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (9 papers), Semantic Web and Ontologies (7 papers), Particle Detector Development and Performance (5 papers), Artificial Intelligence in Law (3 papers), Data Management and Algorithms (3 papers) and Astrophysics and Cosmic Phenomena (3 papers). The work is most often cited by research in Artificial Intelligence (295 citations), Law (33 citations), Political Science and International Relations (75 citations), Health Informatics (4 citations) and Information Systems (60 citations). Lisa Ferro has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Inderjeet Mani, Beth Sundheim, George D. Wilson, Laurie Gerber, John D. Burger, Craig Pfeifer, Mark S. Pfaff, L. Karl Branting, Eric Breck and David House. Their work appears in journals such as Astronomy and Astrophysics, Journal of Astronomical Telescopes Instruments and Systems, Natural Language Engineering, The Astrophysical Journal and Language Resources and Evaluation.

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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