Barbara J. Grosz

12.6k total citations · 2 hit papers
119 papers, 6.3k citations indexed

About

Barbara J. Grosz is a scholar working on Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science. According to data from OpenAlex, Barbara J. Grosz has authored 119 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 17 papers in Management Science and Operations Research and 12 papers in Sociology and Political Science. Recurrent topics in Barbara J. Grosz's work include Multi-Agent Systems and Negotiation (31 papers), Speech and dialogue systems (18 papers) and Natural Language Processing Techniques (17 papers). Barbara J. Grosz is often cited by papers focused on Multi-Agent Systems and Negotiation (31 papers), Speech and dialogue systems (18 papers) and Natural Language Processing Techniques (17 papers). Barbara J. Grosz collaborates with scholars based in United States, Israel and United Kingdom. Barbara J. Grosz's co-authors include Candace L. Sidner, Sarit Kraus, Peter C. Gordon, Julia Hirschberg, Scott Weinstein, Aravind K. Joshi, Luke Hunsberger, Kobi Gal, Fernando C. N. Pereira and Douglas E. Appelt and has published in prestigious journals such as Science, The Lancet and PLoS ONE.

In The Last Decade

Barbara J. Grosz

114 papers receiving 5.2k citations

Hit Papers

Attention, intentions, and the structure of discourse 1986 2026 1999 2012 1986 1996 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Barbara J. Grosz United States 32 4.2k 1.0k 969 523 462 119 6.3k
Daniel Jurafsky United States 40 8.7k 2.1× 955 0.9× 908 0.9× 577 1.1× 584 1.3× 95 10.9k
James Pustejovsky United States 41 6.0k 1.4× 1.0k 1.0× 2.0k 2.1× 266 0.5× 329 0.7× 219 7.9k
Ewan Klein United Kingdom 24 3.6k 0.8× 636 0.6× 1.4k 1.4× 273 0.5× 322 0.7× 92 5.7k
Johanna D. Moore United Kingdom 41 4.4k 1.0× 703 0.7× 440 0.5× 366 0.7× 894 1.9× 210 6.3k
Adam Kilgarriff United Kingdom 32 9.4k 2.2× 674 0.7× 2.0k 2.1× 252 0.5× 667 1.4× 111 11.9k
Candace L. Sidner United States 31 3.7k 0.9× 754 0.7× 558 0.6× 359 0.7× 274 0.6× 90 5.9k
Dan Jurafsky United States 55 9.9k 2.3× 1.0k 1.0× 569 0.6× 497 1.0× 369 0.8× 203 13.5k
Christopher Potts United States 31 8.3k 2.0× 828 0.8× 1.4k 1.5× 259 0.5× 145 0.3× 116 10.6k
Jon Oberlander United Kingdom 37 2.4k 0.6× 861 0.8× 458 0.5× 635 1.2× 883 1.9× 143 4.7k
Jerry R. Hobbs United States 29 4.1k 1.0× 586 0.6× 684 0.7× 198 0.4× 212 0.5× 114 5.8k

Countries citing papers authored by Barbara J. Grosz

Since Specialization
Citations

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

Fields of papers citing papers by Barbara J. Grosz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara J. Grosz. 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 Barbara J. Grosz. The network helps show where Barbara J. Grosz may publish in the future.

Co-authorship network of co-authors of Barbara J. Grosz

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara J. Grosz. A scholar is included among the top collaborators of Barbara J. Grosz 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 Barbara J. Grosz. Barbara J. Grosz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Brindis, Claire D., Susan C. Scrimshaw, Barbara J. Grosz, et al.. (2024). Health-care workforce implications of the Dobbs v Jackson Women's Health Organization decision. The Lancet. 403(10445). 2747–2750. 5 indexed citations
2.
Grosz, Barbara J.. (2013). A multi-agent systems "turing challenge". Adaptive Agents and Multi-Agents Systems. 3–4. 1 indexed citations
3.
Sarne, David, et al.. (2011). Less is more: restructuring decisions to improve agent search. Adaptive Agents and Multi-Agents Systems. 431–438. 24 indexed citations
4.
Gal, Kobi, Swapna Reddy, Stuart M. Shieber, Andee Rubin, & Barbara J. Grosz. (2011). Plan recognition in exploratory domains. Artificial Intelligence. 176(1). 2270–2290. 21 indexed citations
5.
Kamar, Ece, Kobi Gal, & Barbara J. Grosz. (2009). Incorporating helpful behavior into collaborative planning. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 875–882. 26 indexed citations
6.
Grosz, Barbara J., Luke Hunsberger, & Sarit Kraus. (2009). Planning and Acting Together. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 15 indexed citations
7.
Kraus, Sarit, et al.. (2008). Efficiently determining the appropriate mix of personal interaction and reputation information in partner choice. Adaptive Agents and Multi-Agents Systems. 583–590. 8 indexed citations
8.
Sarne, David, et al.. (2008). Effective information value calculation for interruption management in multi-agent scheduling. International Conference on Automated Planning and Scheduling. 313–321. 4 indexed citations
9.
Kamar, Ece, Barbara J. Grosz, & David Sarne. (2007). Modeling user perception of interaction opportunities in collaborative human-computer settings. National Conference on Artificial Intelligence. 1872–1873. 1 indexed citations
10.
Gal, Kobi, et al.. (2004). Learning social preferences in games. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 226–231. 42 indexed citations
11.
Grosz, Barbara J. & Luke Hunsberger. (2002). Group decision making and temporal reasoning. 1–26. 25 indexed citations
12.
Kraus, Sarit, et al.. (2002). Incremental Negotiation and Coalition Formation for Resource-bounded Agents: Preliminary Report. National Conference on Artificial Intelligence. 5 indexed citations
13.
Webber, Bonnie, et al.. (1993). Instructions: Language and Behavior.. International Joint Conference on Artificial Intelligence. 1684–1689. 1 indexed citations
14.
Grosz, Barbara J. & Sarit Kraus. (1993). Collaborative plans for group activities. International Joint Conference on Artificial Intelligence. 367–373. 68 indexed citations
15.
Weischedel, Ralph, et al.. (1989). NATURAL-LANGUAGE PROCESSING. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 4.
16.
Appelt, Douglas E., et al.. (1985). TEAM: An Experimental Transportable Natural-Language Interface.. IEEE Data(base) Engineering Bulletin. 8. 10–18. 12 indexed citations
17.
Grosz, Barbara J. & Candace L. Sidner. (1985). Discourse structure and the proper treatment of interruptions. International Joint Conference on Artificial Intelligence. 832–839. 38 indexed citations
18.
Grosz, Barbara J.. (1977). The representation and use of focus in dialogue understanding.. 249 indexed citations
19.
Grosz, Barbara J.. (1977). The representation and use of focus in a system for understanding dialogs. International Joint Conference on Artificial Intelligence. 353–362. 151 indexed citations
20.
Walker, Donald E., et al.. (1977). Procedures for integrating knowledge in a speech understanding system. International Joint Conference on Artificial Intelligence. 130(5). 36–42. 3 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.

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