Daniel Gillick
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Information Systems top 10%
- Information Retrieval and Search Behavior
Papers in
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- Topic Modeling 9
- Advanced Text Analysis Techniques 6
- Natural Language Processing Techniques 4
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- Information Retrieval and Search Behavior 3
- Co-authors
- Dilek Zeynep Hakkani-Tür (4 shared papers)Dani Yogatama (1 shared paper)Nevena Lazic (1 shared paper)Benoît Favre (2 shared papers)Jason Baldridge (2 shared papers)Sayali Kulkarni (1 shared paper)Eugene Ie (1 shared paper)Bhuwan Dhingra (2 shared papers)
- Journals
- Computer Speech & Language (1 paper)Theory and applications of categories (1 paper)Transactions of the Association for Computational Linguistics (1 paper)IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) (1 paper)Conference on Empirical Methods in Natural Language Processing (EMNLP) (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Daniel Gillick
14 papers receiving 557 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 526
- Information Systems 80
- General Social Sciences 3
- Computer Vision and Pattern Recognition 17
- Computer Science Applications 3
Countries citing papers authored by Daniel Gillick
This map shows the geographic impact of Daniel Gillick'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 Daniel Gillick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gillick more than expected).
Fields of papers citing papers by Daniel Gillick
This network shows the impact of papers produced by Daniel Gillick. 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 Daniel Gillick. The network helps show where Daniel Gillick may publish in the future.
Co-authors
The 23 scholars most cited alongside Daniel Gillick, 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 | 135 | |
| 2 | 2022 | 98 | |
| 3 | 2015 | 94 | |
| 4 | The ICSI Summarization System at TAC 2008. | 2008 | 64 |
| 5 | The ICSI/UTD Summarization System at TAC 2009 | 2009 | 51 |
| 6 | 2020 | 45 | |
| 7 | 2014 | 40 | |
| 8 | 2018 | 26 | |
| 9 | 2023 | 12 | |
| 10 | 2016 | 10 | |
| 11 | The elements of automatic summarization | 2011 | 8 |
| 12 | 2021 | 8 | |
| 13 | 2007 | 6 | |
| 14 | 2009 | 1 | |
| 15 | 2023 | 0 |
About Daniel Gillick
Daniel Gillick is a scholar working on Artificial Intelligence, Information Systems, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 15 papers that have together received 598 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Advanced Text Analysis Techniques (6 papers), Natural Language Processing Techniques (4 papers) and Information Retrieval and Search Behavior (3 papers). The work is most often cited by research in Artificial Intelligence (526 citations), Information Systems (80 citations), General Social Sciences (3 citations), Computer Vision and Pattern Recognition (17 citations) and Computer Science Applications (3 citations). Daniel Gillick has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Dilek Zeynep Hakkani-Tür, Dani Yogatama, Nevena Lazic, Benoît Favre, Jason Baldridge, Sayali Kulkarni, Eugene Ie, Bhuwan Dhingra, Julian Martin Eisenschlos and Jacob Eisenstein. Their work appears in journals such as Computer Speech & Language, Theory and applications of categories, Transactions of the Association for Computational Linguistics, IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU) and Conference on Empirical Methods in Natural Language Processing (EMNLP).
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.