Lawrence Cavedon
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Logic, Reasoning, and Knowledge
- Multi-Agent Systems and Negotiation
- Signal Processing top 2%
- Speech and Audio Processing
Papers in
-
- Speech and dialogue systems 32
- Topic Modeling 27
- Natural Language Processing Techniques 15
- Multi-Agent Systems and Negotiation 13
- Semantic Web and Ontologies 12
- Logic, Reasoning, and Knowledge 9
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- Biomedical Text Mining and Ontologies 19
- Co-authors
- Haytham M. Fayek (6 shared papers)Margaret Lech (5 shared papers)David Martínez (17 shared papers)Su Nam Kim (5 shared papers)Mark Sanderson (11 shared papers)Damiano Spina (12 shared papers)Johanne R. Trippas (7 shared papers)Sarvnaz Karimi (8 shared papers)
- Journals
- International Journal of Human-Computer Studies (2 papers)Neural Networks (2 papers)Journal of the Association for Information Science and Technology (2 papers)Journal of Biomedical Informatics (2 papers)ACM SIGIR Forum (2 papers)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Lawrence Cavedon
99 papers receiving 1.9k citations
Lawrence Cavedon's Hit Papers
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 1.3k
- Signal Processing 339
- Experimental and Cognitive Psychology 330
- Health Informatics 22
- Health Information Management 54
Countries citing papers authored by Lawrence Cavedon
This map shows the geographic impact of Lawrence Cavedon'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 Lawrence Cavedon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence Cavedon more than expected).
Fields of papers citing papers by Lawrence Cavedon
This network shows the impact of papers produced by Lawrence Cavedon. 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 Lawrence Cavedon. The network helps show where Lawrence Cavedon may publish in the future.
Co-authors
The 25 scholars most cited alongside Lawrence Cavedon, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluating deep learning architectures for Speech Emotion Recognition Hit paper breakdown → | 2017 | 387 |
| 2 | 2011 | 136 | |
| 3 | 2002 | 81 | |
| 4 | 2015 | 69 | |
| 5 | 2018 | 66 | |
| 6 | 2013 | 53 | |
| 7 | Classifying Dialogue Acts in One-on-One Live Chats | 2010 | 53 |
| 8 | 2022 | 51 | |
| 9 | Towards Socially Sophisticated BDI Agents | 2000 | 49 |
| 10 | 2020 | 48 | |
| 11 | 2016 | 46 | |
| 12 | 2008 | 46 | |
| 13 | External evaluation of topic models | 2009 | 43 |
| 14 | 2017 | 43 | |
| 15 | 2014 | 41 | |
| 16 | 2016 | 39 | |
| 17 | 2010 | 37 | |
| 18 | Continuity, Consistency, and Completeness Properties for Logic Programs. | 1989 | 35 |
| 19 | 1989 | 33 | |
| 20 | 2010 | 31 |
About Lawrence Cavedon
Lawrence Cavedon is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Signal Processing and Social Psychology, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Speech and dialogue systems (32 papers), Topic Modeling (27 papers), Biomedical Text Mining and Ontologies (19 papers), Natural Language Processing Techniques (15 papers), Multi-Agent Systems and Negotiation (13 papers), Semantic Web and Ontologies (12 papers), Information Retrieval and Search Behavior (10 papers) and Logic, Reasoning, and Knowledge (9 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Signal Processing (339 citations), Experimental and Cognitive Psychology (330 citations), Health Informatics (22 citations) and Health Information Management (54 citations). Lawrence Cavedon has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Haytham M. Fayek, Margaret Lech, David Martínez, Su Nam Kim, Mark Sanderson, Damiano Spina, Johanne R. Trippas, Sarvnaz Karimi, Frank Dignum and Justin Zobel. Their work appears in journals such as International Journal of Human-Computer Studies, Neural Networks, Journal of the Association for Information Science and Technology, Journal of Biomedical Informatics and ACM SIGIR Forum.
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.