Guy Lapalme
Impact in
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
-
- Advanced Neural Network Applications
Papers in
-
- Natural Language Processing Techniques 67
- Advanced Text Analysis Techniques 23
- Logic, programming, and type systems 15
- Topic Modeling 8
-
- Syntax, Semantics, Linguistic Variation 9
- Co-authors
- Marina Sokolova (7 shared papers)Philippe Langlais (23 shared papers)George Foster (13 shared papers)Robert Cedergren (8 shared papers)Atefeh Farzindar (9 shared papers)Horacio Saggion (7 shared papers)David Sankoff (4 shared papers)Leila Kosseim (12 shared papers)
In The Last Decade
Guy Lapalme
146 papers receiving 6.7k citations
Guy Lapalme's Hit Papers
Peers
Comparison fields: 5 of 196
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 729
- Health Information Management 268
- Health Informatics 54
- Industrial and Manufacturing Engineering 179
Countries citing papers authored by Guy Lapalme
This map shows the geographic impact of Guy Lapalme'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 Guy Lapalme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Lapalme more than expected).
Fields of papers citing papers by Guy Lapalme
This network shows the impact of papers produced by Guy Lapalme. 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 Guy Lapalme. The network helps show where Guy Lapalme may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Lapalme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A systematic analysis of performance measures for classification tasks Hit paper breakdown → | 2009 | 4898 |
| 2 | 1991 | 160 | |
| 3 | 1976 | 115 | |
| 4 | 2002 | 98 | |
| 5 | Framework for Abstractive Summarization using Text-to-Text Generation | 2011 | 83 |
| 6 | 2004 | 77 | |
| 7 | Fully Abstractive Approach to Guided Summarization | 2012 | 63 |
| 8 | 2000 | 57 | |
| 9 | 2002 | 53 | |
| 10 | Adaptive Language and Translation Models for Interactive Machine Translation. | 2004 | 52 |
| 11 | 2002 | 49 | |
| 12 | Legal Text Summarization by Exploration of the Thematic Structure and Argumentative Roles | 2004 | 49 |
| 13 | LetSum, an automatic Legal Text Summarizing system | 2004 | 47 |
| 14 | 1996 | 43 | |
| 15 | Lakhas, an Arabic summarization system | 2004 | 41 |
| 16 | 1980 | 40 | |
| 17 | 1984 | 40 | |
| 18 | 1989 | 40 | |
| 19 | 2005 | 35 | |
| 20 | 2000 | 31 |
About Guy Lapalme
Guy Lapalme is a scholar working on Artificial Intelligence, Language and Linguistics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 158 papers that have together received 7.1k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (67 papers), Advanced Text Analysis Techniques (23 papers), Logic, programming, and type systems (15 papers), Syntax, Semantics, Linguistic Variation (9 papers), Artificial Intelligence in Law (8 papers), Topic Modeling (8 papers), Vehicle Routing Optimization Methods (8 papers) and RNA and protein synthesis mechanisms (7 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computer Vision and Pattern Recognition (729 citations), Health Information Management (268 citations), Health Informatics (54 citations) and Industrial and Manufacturing Engineering (179 citations). Guy Lapalme has collaborated with scholars based in Canada, France and Spain. Frequent co-authors include Marina Sokolova, Philippe Langlais, George Foster, Robert Cedergren, Atefeh Farzindar, Horacio Saggion, David Sankoff, Leila Kosseim, Marcel Turcotte and François Major. Their work appears in journals such as Theory and applications of categories, Machine Translation, Journal of Functional Programming, Computational Linguistics and Natural Language Engineering.
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.