David Andrzejewski
Impact in
- General Social Sciences top 0.2%
- Computational and Text Analysis Methods
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 8
- Advanced Text Analysis Techniques 5
- Semantic Web and Ontologies 2
- Sentiment Analysis and Opinion Mining 1
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- Spam and Phishing Detection 1
- Co-authors
- Xiaojin Zhu (9 shared papers)Mark Craven (4 shared papers)David Buttler (2 shared papers)Keith Stevens (1 shared paper)Philip Kegelmeyer (1 shared paper)Andrew B. Goldberg (3 shared papers)Jurgen Van Gael (2 shared papers)Benjamin Recht (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)Empirical Methods in Natural Language Processing (1 paper)North American Chapter of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
David Andrzejewski
12 papers receiving 1.1k citations
David Andrzejewski's Hit Papers
Peers
Comparison fields: 5 of 102
- General Social Sciences 143
- Artificial Intelligence 871
- Information Systems 318
- Statistical and Nonlinear Physics 90
- Software 25
Countries citing papers authored by David Andrzejewski
This map shows the geographic impact of David Andrzejewski'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 Andrzejewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Andrzejewski more than expected).
Fields of papers citing papers by David Andrzejewski
This network shows the impact of papers produced by David Andrzejewski. 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 Andrzejewski. The network helps show where David Andrzejewski may publish in the future.
Co-authors
The 14 scholars most cited alongside David Andrzejewski, 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 | 2009 | 325 | |
| 2 | Exploring Topic Coherence over Many Models and Many Topics Hit paper breakdown → | 2012 | 309 |
| 3 | Improving Diversity in Ranking using Absorbing Random Walks | 2007 | 165 |
| 4 | 2009 | 109 | |
| 5 | 2011 | 105 | |
| 6 | 2007 | 67 | |
| 7 | 2009 | 61 | |
| 8 | 2011 | 45 | |
| 9 | Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006. | 2006 | 17 |
| 10 | Incorporating domain knowledge in latent topic models | 2010 | 6 |
| 11 | 2010 | 4 | |
| 12 | Modeling Protein-Protein Interactions in Biomedical Abstracts with Latent Dirichlet Allocation | 2006 | 1 |
About David Andrzejewski
David Andrzejewski is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Cognitive Neuroscience and Archeology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers), Advanced Text Analysis Techniques (5 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Spam and Phishing Detection (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Cultural Heritage Materials Analysis (1 paper). The work is most often cited by research in General Social Sciences (143 citations), Artificial Intelligence (871 citations), Information Systems (318 citations), Statistical and Nonlinear Physics (90 citations) and Software (25 citations). David Andrzejewski has collaborated with scholars based in United States and Canada. Frequent co-authors include Xiaojin Zhu, Mark Craven, David Buttler, Keith Stevens, Philip Kegelmeyer, Andrew B. Goldberg, Jurgen Van Gael, Benjamin Recht, Ben Liblit and Bryan R. Gibson. Their work appears in journals such as Lecture notes in computer science, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, University of North Texas Digital Library (University of North Texas), Empirical Methods in Natural Language Processing and North American Chapter of the Association for Computational Linguistics.
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.