Douglas W. Oard
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Information Systems top 0.5%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Recommender Systems and Techniques
Papers in
-
- Natural Language Processing Techniques 99
- Topic Modeling 92
- Semantic Web and Ontologies 31
- Advanced Text Analysis Techniques 27
- Text and Document Classification Technologies 22
- Speech and dialogue systems 22
- Speech Recognition and Synthesis 17
-
- Information Retrieval and Search Behavior 30
- Co-authors
- Jinmook KimPhilip ResnikTamer ElsayedKareem DarwishJian‐qiang WangBonnie J. DorrJimmy LinChristos Faloutsos
- Journals
- Proceedings of the American Society for Information Science and Technology (9 papers)Information Processing & Management (4 papers)ACM SIGIR Forum (3 papers)Journal of the Association for Information Science and Technology (3 papers)Language Resources and Evaluation (2 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Douglas W. Oard
218 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 2.6k
- Information Systems 1.4k
- Signal Processing 365
- Computer Vision and Pattern Recognition 528
- Management Science and Operations Research 310
Countries citing papers authored by Douglas W. Oard
This map shows the geographic impact of Douglas W. Oard'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 Douglas W. Oard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas W. Oard more than expected).
Fields of papers citing papers by Douglas W. Oard
This network shows the impact of papers produced by Douglas W. Oard. 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 Douglas W. Oard. The network helps show where Douglas W. Oard may publish in the future.
Co-authors
The 25 scholars most cited alongside Douglas W. Oard, 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 | 2024 | 6 | |
| 2 | 2020 | 21 | |
| 3 | Overview of ARQMath 2020 (Updated Working Notes Version): CLEF Lab on Answer Retrieval for Questions on Math. | 2020 | 1 |
| 4 | HLTCOE at TREC 2014: Microblog and Clinical Decision Support | 2014 | 10 |
| 5 | Creating and Curating a Cross-Language Person-Entity Linking Collection | 2012 | 1 |
| 6 | Proceedings of the first workshop on Information and knowledge management for developing region | 2012 | 1 |
| 7 | Leveraging Statistical Transliteration for Dictionary-Based English-Bengali CLIR of OCR'd Text | 2012 | 5 |
| 8 | Overview of the TREC 2010 Legal Track. | 2010 | 15 |
| 9 | Query Expansion for Noisy Legal Documents | 2008 | 1 |
| 10 | Resolving Personal Names in Email Using Context Expansion | 2008 | 19 |
| 11 | Overview of the TREC 2007 Legal Track. | 2007 | 28 |
| 12 | NTCIR-6 at Maryland: Chinese Opinion Analysis Pilot Task | 2007 | 4 |
| 13 | 2007 | 1 | |
| 14 | Towards Analysis Tools for a Multilingual Blogsphere | 2006 | 1 |
| 15 | The TREC-2002 Arabic/English CLIR Track | 2002 | 33 |
| 16 | TREC-10 Experiments at University of Maryland CLIR and Video. | 2001 | 10 |
| 17 | Observable Behavior for Implicit User Modeling: A Framework and User Studies | 2001 | 0 |
| 18 | CLEF Experiments at the University of Maryland: Statistical Stemming and Back-off Translation Strategies. | 2000 | 1 |
| 19 | Evaluating resources for query translation in cross-language information retrieval. | 1998 | 5 |
| 20 | Adaptive vector space text filtering for monolingual and cross-language application | 1996 | 14 |
About Douglas W. Oard
Douglas W. Oard is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research and Communication, having authored 238 papers that have together received 3.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (99 papers), Topic Modeling (92 papers), Semantic Web and Ontologies (31 papers), Information Retrieval and Search Behavior (30 papers), Advanced Text Analysis Techniques (27 papers), Text and Document Classification Technologies (22 papers), Speech and dialogue systems (22 papers) and Speech Recognition and Synthesis (17 papers). The work is most often cited by research in Artificial Intelligence (2.6k citations), Information Systems (1.4k citations), Signal Processing (365 citations), Computer Vision and Pattern Recognition (528 citations) and Management Science and Operations Research (310 citations). Douglas W. Oard has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Jinmook Kim, Philip Resnik, Tamer Elsayed, Kareem Darwish, Jian‐qiang Wang, Bonnie J. Dorr, Jimmy Lin, Christos Faloutsos, Jason R. Baron and Mari Ostendorf. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Information Processing & Management, ACM SIGIR Forum, Journal of the Association for Information Science and Technology and Language Resources and Evaluation.
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.