David Vilares
Impact in
- Artificial Intelligence top 2%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Hate Speech and Cyberbullying Detection
Papers in
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- Topic Modeling 26
- Sentiment Analysis and Opinion Mining 22
- Natural Language Processing Techniques 15
- Advanced Text Analysis Techniques 13
- Authorship Attribution and Profiling 5
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- Educational Technology in Learning 2
- Co-authors
- Carlos Gómez‐Rodríguez (29 shared papers)Miguel Á. Alonso (18 shared papers)Jesús Vilares (4 shared papers)Erik Cambria (2 shared papers)Mike Thelwall (1 shared paper)Haiyun Peng (1 shared paper)Ranjan Satapathy (1 shared paper)Yulan He (1 shared paper)
In The Last Decade
David Vilares
39 papers receiving 701 citations
David Vilares's Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 587
- Health Informatics 9
- Information Systems 156
- Communication 46
- General Social Sciences 18
Countries citing papers authored by David Vilares
This map shows the geographic impact of David Vilares'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 Vilares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vilares more than expected).
Fields of papers citing papers by David Vilares
This network shows the impact of papers produced by David Vilares. 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 Vilares. The network helps show where David Vilares may publish in the future.
Co-authors
The 12 scholars most cited alongside David Vilares, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sentiment Analysis for Fake News Detection Hit paper breakdown → | 2021 | 141 |
| 2 | 2018 | 61 | |
| 3 | 2017 | 59 | |
| 4 | 2015 | 52 | |
| 5 | 2013 | 39 | |
| 6 | 2015 | 39 | |
| 7 | 2016 | 38 | |
| 8 | 2015 | 37 | |
| 9 | 2019 | 33 | |
| 10 | 2024 | 25 | |
| 11 | 2019 | 24 | |
| 12 | 2016 | 22 | |
| 13 | 2016 | 20 | |
| 14 | 2017 | 19 | |
| 15 | 2013 | 13 | |
| 16 | 2020 | 13 | |
| 17 | A review on political analysis and social media | 2016 | 11 |
| 18 | 2014 | 11 | |
| 19 | 2017 | 11 | |
| 20 | LyS at CLEF RepLab 2014: Creating the State of the Art in Author Influence Ranking and Reputation Classification on Twitter | 2014 | 9 |
About David Vilares
David Vilares is a scholar working on Artificial Intelligence, Information Systems, Sociology and Political Science, Communication and Linguistics and Language, having authored 41 papers that have together received 735 indexed citations. Recurring topics across this work include Topic Modeling (26 papers), Sentiment Analysis and Opinion Mining (22 papers), Natural Language Processing Techniques (15 papers), Advanced Text Analysis Techniques (13 papers), Authorship Attribution and Profiling (5 papers), Misinformation and Its Impacts (5 papers), Educational Technology in Learning (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (587 citations), Health Informatics (9 citations), Information Systems (156 citations), Communication (46 citations) and General Social Sciences (18 citations). David Vilares has collaborated with scholars based in Spain, China and Singapore. Frequent co-authors include Carlos Gómez‐Rodríguez, Miguel Á. Alonso, Jesús Vilares, Erik Cambria, Mike Thelwall, Haiyun Peng, Ranjan Satapathy, Yulan He, Iti Chaturvedi and A.G. López‐Herrera. Their work appears in journals such as Journal of Information Science, Artificial Intelligence Review, Knowledge-Based Systems, Journal of the Association for Information Science and Technology and Cognitive Computation.
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.