Philip J. Hayes

1.4k citations
40 papers · 768 indexed · h-index 16
Journals
Computational Linguistics (2 papers)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (3 papers)International Journal of Man-Machine Studies (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Philip J. Hayes

38 papers receiving 631 citations

Peers

Philip J. Hayes
Comparison fields: 5 of 72
  • Human-Computer Interaction 124
  • Artificial Intelligence 601
  • Information Systems 143
  • Software 20
  • Information Systems and Management 23
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Countries citing papers authored by Philip J. Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Philip J. Hayes, 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 Philip J. Hayes Line = papers co-authored together Philip J. Hayes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20183
2 20185
3 199218
4 199242
5
CONSTRUE/TIS: A System for Content-Based Indexing of a Database of News Stories
199093
6
Using a knowledge base to drive an expert system interface with a natural language component
19874
7
Steps towards integrating natural language and graphical interaction for knowledge-based systems
198610
8 19862
9
Automatic Classification and Summarization of Banking Telexes.
198539
10
Controlling search in flexible parsing
19852
11 19851
12 198416
13 19842
14 19849
15
A framework for processing corrections in task-oriented dialogues
19833
16
Multi-strategy construction-specific parsing for flexible data base query and update
198124
17
Anaphora for limited domain systems
19818
18
Flexible parsing
198140
19 197729
20
A representation for robot plans
197542

About Philip J. Hayes

Philip J. Hayes is a scholar working on Artificial Intelligence, Human-Computer Interaction and Management Information Systems, having authored 40 papers that have together received 768 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Speech and dialogue systems (15 papers), Topic Modeling (13 papers), Semantic Web and Ontologies (6 papers), Multi-Agent Systems and Negotiation (4 papers), Software Engineering Research (4 papers), Advanced Software Engineering Methodologies (4 papers) and Business Process Modeling and Analysis (4 papers). The work is most often cited by research in Human-Computer Interaction (124 citations), Artificial Intelligence (601 citations) and Information Systems (143 citations). Philip J. Hayes has collaborated with scholars based in United States and France. Frequent co-authors include Steven P. Weinstein, Jaime Carbonell, Pedro Szekely, D. Raj Reddy, Richard A. Lerner, Masaru Tomita, Alexander G. Hauptmann, Alison K. Huettner and Steven Minton. Their work appears in journals such as Computational Linguistics, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University), International Journal of Man-Machine Studies, KiltHub Repository and Ablex Publishing Corp. eBooks.

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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