George E. Heidorn

1.1k total citations
17 papers, 755 citations indexed

About

George E. Heidorn is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, George E. Heidorn has authored 17 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in George E. Heidorn's work include Natural Language Processing Techniques (10 papers), Speech and dialogue systems (5 papers) and Multi-Agent Systems and Negotiation (3 papers). George E. Heidorn is often cited by papers focused on Natural Language Processing Techniques (10 papers), Speech and dialogue systems (5 papers) and Multi-Agent Systems and Negotiation (3 papers). George E. Heidorn collaborates with scholars based in United States. George E. Heidorn's co-authors include Karen Jensen, Roy J. Byrd, Martin Chodorow, Edward Davis, Lance A. Miller, Stephen D. Richardson and Yael Ravin and has published in prestigious journals such as Management Science, IBM Journal of Research and Development and Computational Linguistics.

In The Last Decade

George E. Heidorn

16 papers receiving 610 citations

Peers

George E. Heidorn
Philip J. Hayes United States
C. Maria Keet South Africa
Peter C. Lockemann Germany
Charles F. Goldfarb United States
Daniel Costa Portugal
Avron Barr United States
Holger Knublauch United States
David Rosenblitt United States
Ken Barker United States
Pierdaniele Giaretta Italy
Philip J. Hayes United States
George E. Heidorn
Citations per year, relative to George E. Heidorn George E. Heidorn (= 1×) peers Philip J. Hayes

Countries citing papers authored by George E. Heidorn

Since Specialization
Citations

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

Fields of papers citing papers by George E. Heidorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George E. Heidorn. 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 George E. Heidorn. The network helps show where George E. Heidorn may publish in the future.

Co-authorship network of co-authors of George E. Heidorn

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

All Works

17 of 17 papers shown
1.
Jensen, Karen, George E. Heidorn, & Stephen D. Richardson. (1993). Natural Language Processing: The PLNLP Approach. 64 indexed citations
2.
Chodorow, Martin, Roy J. Byrd, & George E. Heidorn. (1985). Extracting semantic hierarchies from a large on-line dictionary. 299–304. 134 indexed citations
3.
Jensen, Karen, George E. Heidorn, Lance A. Miller, & Yael Ravin. (1983). Parse fitting and prose fixing: getting a hold on ill-formedness. Computational Linguistics. 9(3). 147–160. 58 indexed citations
4.
Jensen, Karen & George E. Heidorn. (1983). The fitted parse. 93–93. 23 indexed citations
5.
Heidorn, George E., Karen Jensen, Lance A. Miller, Roy J. Byrd, & Martin Chodorow. (1982). The EPISTLE text-critiquing system. IBM Systems Journal. 21(3). 305–326. 107 indexed citations
6.
Heidorn, George E.. (1982). Experience with an easily computed metric for ranking alternative parsess. 82–82. 16 indexed citations
7.
Miller, Lance A., George E. Heidorn, & Karen Jensen. (1981). Text-critiquing with the EPISTLE system. 649–649. 21 indexed citations
8.
Heidorn, George E.. (1978). Natural Language Dialogue For Managing An On-Line Calendar. 45–52. 7 indexed citations
9.
Heidorn, George E.. (1977). Generating Noun Phrases to Identify Nodes in a Semantic Network.. International Joint Conference on Artificial Intelligence. 143. 2 indexed citations
10.
Heidorn, George E.. (1976). Automatic Programming Through Natural Language Dialogue: A Survey. IBM Journal of Research and Development. 20(4). 302–313. 53 indexed citations
11.
Heidorn, George E.. (1975). Augmented phrase structure grammars. 1–1. 42 indexed citations
12.
Heidorn, George E.. (1974). English as a very high level language for simulation programming. 91–100. 35 indexed citations
13.
Heidorn, George E.. (1974). English as a very high level language for simulation programming. ACM SIGPLAN Notices. 9(4). 91–100. 15 indexed citations
14.
Heidorn, George E.. (1973). An interactive simulation programming system which converses in English. 781–794. 7 indexed citations
15.
Heidorn, George E.. (1972). Natural language inputs to a simulation programming system. 48 indexed citations
16.
Heidorn, George E.. (1971). Natural language inputs to a simulation programming system: An introduction. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations
17.
Davis, Edward & George E. Heidorn. (1971). An Algorithm for Optimal Project Scheduling under Multiple Resource Constraints. Management Science. 17(12). B–803. 122 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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