David Ahn
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 9
- Topic Modeling 7
- Speech and dialogue systems 4
- Semantic Web and Ontologies 3
- Logic, Reasoning, and Knowledge 2
- Information Systems top 5%
- Information Retrieval and Search Behavior 1
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- Advanced Database Systems and Queries 2
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- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- Brendan O’ConnorMaarten de RijkeLivia PolanyiMartin van den BergJulia HirschbergBarbara J. GroszChristine H. NakataniGianluca Donato
- Journals
- Journal of Applied Logic (1 paper)Journal of Logic Language and Information (1 paper)UMI Dissertation Services eBooks (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
David Ahn
13 papers receiving 707 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 676
- Statistical and Nonlinear Physics 110
- Information Systems 193
- Management Science and Operations Research 58
- Human-Computer Interaction 22
Countries citing papers authored by David Ahn
This map shows the geographic impact of David Ahn'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 David Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ahn more than expected).
Fields of papers citing papers by David Ahn
This network shows the impact of papers produced by David Ahn. 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 David Ahn. The network helps show where David Ahn may publish in the future.
Co-authorship network
The 18 scholars most cited alongside David Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 0 | |
| 2 | 2011 | 4 | |
| 3 | 2010 | 257 | |
| 4 | 2009 | 47 | |
| 5 | A Cascaded Machine Learning Approach to Interpreting Temporal Expressions | 2007 | 30 |
| 6 | Supporting temporal question answering: Strategies for offline data collection | 2006 | 10 |
| 7 | 2006 | 12 | |
| 8 | 2006 | 315 | |
| 9 | 2006 | 10 | |
| 10 | 2005 | 16 | |
| 11 | The role of situations and presuppositions in restricting adverbial quantification | 2004 | 1 |
| 12 | 2004 | 22 | |
| 13 | A Rule Based Approach to Discourse Parsing | 2004 | 40 |
| 14 | 2003 | 7 | |
| 15 | Instructions for annotating discourse | 1995 | 43 |
About David Ahn
David Ahn is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Marketing and Computer Networks and Communications, having authored 15 papers that have together received 814 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (7 papers), Speech and dialogue systems (4 papers), Semantic Web and Ontologies (3 papers), Logic, Reasoning, and Knowledge (2 papers), Advanced Database Systems and Queries (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Artificial Intelligence (676 citations), Statistical and Nonlinear Physics (110 citations), Information Systems (193 citations), Management Science and Operations Research (58 citations) and Human-Computer Interaction (22 citations). David Ahn has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Brendan O’Connor, Maarten de Rijke, Livia Polanyi, Martin van den Berg, Julia Hirschberg, Barbara J. Grosz, Christine H. Nakatani, Gianluca Donato, Feng Pan and Sisay Fissaha Adafre. Their work appears in journals such as Journal of Applied Logic, Journal of Logic Language and Information, UMI Dissertation Services eBooks, UvA-DARE (University of Amsterdam) and Proceedings of the International AAAI Conference on Web and Social Media.
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.