Eugene Agichtein
Impact in
- Computer Science Applications top 0.1%
- Mobile Crowdsensing and Crowdsourcing
- Information Systems top 0.05%
- Expert finding and Q&A systems
- Web Data Mining and Analysis
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
Papers in
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- Mobile Crowdsensing and Crowdsourcing 29
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- Expert finding and Q&A systems 44
- Information Retrieval and Search Behavior 44
- Web Data Mining and Analysis 32
- Recommender Systems and Techniques 13
- Co-authors
- Luis GravanoSusan DumaisEric BrillQi GuoYandong LiuCarlos CastilloDebora DonatoGilad Mishne
- Journals
- ACM SIGIR Forum (3 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)Information Retrieval (2 papers)Bioinformatics (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Eugene Agichtein
136 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Computer Science Applications 1.3k
- Information Systems 4.1k
- Artificial Intelligence 4.2k
- Communication 464
- Information Systems and Management 340
Countries citing papers authored by Eugene Agichtein
This map shows the geographic impact of Eugene Agichtein'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 Eugene Agichtein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Agichtein more than expected).
Fields of papers citing papers by Eugene Agichtein
This network shows the impact of papers produced by Eugene Agichtein. 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 Eugene Agichtein. The network helps show where Eugene Agichtein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eugene Agichtein, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | Proceedings of the 26th International Conference on World Wide Web Companion Hit paper breakdown → | 2017 | 269 |
| 5 | Overview of the Medical Question Answering Task at TREC 2017 LiveQA. | 2017 | 20 |
| 6 | Emory University at TREC LiveQA 2016: Combining Crowdsourcing and Learning-To-Rank Approaches for Real-Time Complex Question Answering. | 2016 | 1 |
| 7 | Overview of the TREC 2015 LiveQA Track. | 2015 | 22 |
| 8 | Proceedings of the fifth ACM international conference on Web search and data mining | 2012 | 6 |
| 9 | Query Ambiguity Revisited: Clickthrough Measures for Distinguishing Informational and Ambiguous Queries | 2010 | 13 |
| 10 | Towards Automatic Question Answering over Social Media by Learning Question Equivalence Patterns | 2010 | 0 |
| 11 | The ``Nays'' Have It: Exploring Effects of Sentiment in Collaborative Knowledge Sharing | 2010 | 2 |
| 12 | THE SOCIAL FUTURE OF WEB SEARCH: MODELING, EXPLOITING, AND SEARCHING COLLABORATIVELY GENERATED CONTENT | 2009 | 7 |
| 13 | Combining Lexical, Syntactic, and Semantic Evidence For Textual Entailment Classification | 2008 | 11 |
| 14 | Domain Ontology Construction from Biomedical Text. | 2007 | 4 |
| 15 | Confidence Estimation Methods for Partially Supervised Information Extraction. | 2006 | 11 |
| 16 | Improving Web Search Ranking by Incorporating User Behavior | 2006 | 49 |
| 17 | Web Information Extraction and User Modeling: Towards Closing the Gap. | 2006 | 4 |
| 18 | Factoid Question Answering over Unstructured and Structured Web Content. | 2005 | 27 |
| 19 | Scaling Information Extraction to Large Document Collections. | 2005 | 21 |
| 20 | Exploiting diverse knowledge sources via maximum entropy in named entity recognition | 1998 | 138 |
About Eugene Agichtein
Eugene Agichtein is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Signal Processing and Human-Computer Interaction, having authored 141 papers that have together received 7.1k indexed citations. Recurring topics across this work include Topic Modeling (60 papers), Expert finding and Q&A systems (44 papers), Information Retrieval and Search Behavior (44 papers), Web Data Mining and Analysis (32 papers), Mobile Crowdsensing and Crowdsourcing (29 papers), Natural Language Processing Techniques (23 papers), Recommender Systems and Techniques (13 papers) and Advanced Text Analysis Techniques (11 papers). The work is most often cited by research in Computer Science Applications (1.3k citations), Information Systems (4.1k citations), Artificial Intelligence (4.2k citations), Communication (464 citations) and Information Systems and Management (340 citations). Eugene Agichtein has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Luis Gravano, Susan Dumais, Eric Brill, Qi Guo, Yandong Liu, Carlos Castillo, Debora Donato, Gilad Mishne, Aristides Gionis and Jiang Bian. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Knowledge Discovery from Data, Information Retrieval, Bioinformatics and ACM Transactions on Database Systems.
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.