Ignacio Cases
Impact in
-
- Language, Metaphor, and Cognition
-
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
Papers in
-
- Natural Language Processing Techniques 8
- Advanced Text Analysis Techniques 4
- Topic Modeling 4
- Speech and dialogue systems 2
- Domain Adaptation and Few-Shot Learning 1
-
- Language, Metaphor, and Cognition 4
- Co-authors
- George Aaron Broadwell (5 shared papers)Tomek Strzalkowski (5 shared papers)Kit W. Cho (5 shared papers)Laurie Beth Feldman (5 shared papers)Boris Yamrom (5 shared papers)Sarah Taylor (5 shared papers)Samira Shaikh (5 shared papers)Christopher Potts (2 shared papers)
- Partner nations
- United StatesIsrael
In The Last Decade
Ignacio Cases
8 papers receiving 61 citations
Peers
Comparison fields: 5 of 17
- Experimental and Cognitive Psychology 41
- Artificial Intelligence 71
- General Social Sciences 2
- Communication 4
- Computer Vision and Pattern Recognition 11
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 | 30 |
| 2 | 2019 | 15 | |
| 3 | 2014 | 13 | |
| 4 | 2016 | 8 | |
| 5 | Automatic Expansion of the MRC Psycholinguistic Database Imageability Ratings | 2014 | 7 |
| 6 | 2019 | 6 | |
| 7 | A Multi-Cultural Repository of Automatically Discovered Linguistic and Conceptual Metaphors | 2014 | 3 |
| 8 | 2022 | 1 | |
| 9 | 2014 | 0 |
About Ignacio Cases
Ignacio Cases is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Communication, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 83 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Advanced Text Analysis Techniques (4 papers), Language, Metaphor, and Cognition (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 Swearing, Euphemism, Multilingualism (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (41 citations), Artificial Intelligence (71 citations), General Social Sciences (2 citations), Communication (4 citations) and Computer Vision and Pattern Recognition (11 citations). Ignacio Cases has collaborated with scholars based in United States and Israel. Frequent co-authors include George Aaron Broadwell, Tomek Strzalkowski, Kit W. Cho, Laurie Beth Feldman, Boris Yamrom, Sarah Taylor, Samira Shaikh, Christopher Potts, Lauri Karttunen and Ting Liu. Their work appears in journals such as 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.