Ignacio Cases
Impact in
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- Language, Metaphor, and Cognition
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
Papers in
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- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 4
- Topic Modeling 4
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 1
- Sentiment Analysis and Opinion Mining 1
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- Language, Metaphor, and Cognition 5
- Co-authors
- George Aaron Broadwell (6 shared papers)Samira Shaikh (6 shared papers)Tomek Strzalkowski (6 shared papers)Kit W. Cho (6 shared papers)Laurie Beth Feldman (6 shared papers)Sarah Taylor (6 shared papers)Lauri Karttunen (2 shared papers)Boris Yamrom (5 shared papers)
- Journals
- Language Resources and Evaluation (2 papers)Lecture notes in computer science (1 paper)University Press of Florida eBooks (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Ignacio Cases
11 papers receiving 98 citations
Peers
Comparison fields: 5 of 28
- Experimental and Cognitive Psychology 74
- Artificial Intelligence 108
- Communication 7
- Social Psychology 17
- Space and Planetary Science 1
Countries citing papers authored by Ignacio Cases
This map shows the geographic impact of Ignacio Cases'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 Ignacio Cases with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Cases more than expected).
Fields of papers citing papers by Ignacio Cases
This network shows the impact of papers produced by Ignacio Cases. 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 Ignacio Cases. The network helps show where Ignacio Cases may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Cases, 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 | Robust Extraction of Metaphor from Novel Data | 2013 | 33 |
| 2 | 2013 | 33 | |
| 3 | 2019 | 17 | |
| 4 | 2014 | 14 | |
| 5 | 2016 | 9 | |
| 6 | 2014 | 8 | |
| 7 | 2019 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2014 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2014 | 0 |
About Ignacio Cases
Ignacio Cases is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Communication, Molecular Biology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 131 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Language, Metaphor, and Cognition (5 papers), Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers), Speech and dialogue systems (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Video Analysis and Summarization (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (74 citations), Artificial Intelligence (108 citations), Communication (7 citations), Social Psychology (17 citations) and Space and Planetary Science (1 citation). Ignacio Cases has collaborated with scholars based in United States and Israel. Frequent co-authors include George Aaron Broadwell, Samira Shaikh, Tomek Strzalkowski, Kit W. Cho, Laurie Beth Feldman, Sarah Taylor, Lauri Karttunen, Boris Yamrom, Christopher Potts and Nick Webb. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science and University Press of Florida eBooks.
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.