Daniela Moctezuma
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
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- Video Surveillance and Tracking Methods
- Face recognition and analysis
Papers in
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- Sentiment Analysis and Opinion Mining 12
- Advanced Text Analysis Techniques 8
- Topic Modeling 8
- Hate Speech and Cyberbullying Detection 5
- Natural Language Processing Techniques 5
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- Face and Expression Recognition 5
- Video Surveillance and Tracking Methods 5
- Co-authors
- Isaac Martín de Diego (7 shared papers)Enrique Cabello (5 shared papers)Cristina Conde (5 shared papers)Mario Graff (21 shared papers)Eric S. Téllez (21 shared papers)Sabino Miranda‐Jiménez (19 shared papers)José Sánchez del Río (1 shared paper)Javier Cabezas (2 shared papers)
In The Last Decade
Daniela Moctezuma
41 papers receiving 352 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 195
- Computer Vision and Pattern Recognition 108
- Signal Processing 47
- Information Systems 66
- Communication 17
Countries citing papers authored by Daniela Moctezuma
This map shows the geographic impact of Daniela Moctezuma'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 Daniela Moctezuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Moctezuma more than expected).
Fields of papers citing papers by Daniela Moctezuma
This network shows the impact of papers produced by Daniela Moctezuma. 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 Daniela Moctezuma. The network helps show where Daniela Moctezuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Moctezuma, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2017 | 43 | |
| 3 | 2012 | 41 | |
| 4 | 2017 | 30 | |
| 5 | 2016 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2011 | 14 | |
| 8 | Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus. | 2019 | 12 |
| 9 | 2019 | 11 | |
| 10 | 2017 | 11 | |
| 11 | Overview of TASS 2020: Introducing Emotion Detection | 2020 | 9 |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 2018 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Daniela Moctezuma
Daniela Moctezuma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Media Technology, having authored 45 papers that have together received 377 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (12 papers), Advanced Text Analysis Techniques (8 papers), Topic Modeling (8 papers), Face and Expression Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers), Hate Speech and Cyberbullying Detection (5 papers), Natural Language Processing Techniques (5 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Artificial Intelligence (195 citations), Computer Vision and Pattern Recognition (108 citations), Signal Processing (47 citations), Information Systems (66 citations) and Communication (17 citations). Daniela Moctezuma has collaborated with scholars based in Mexico, Spain and Guatemala. Frequent co-authors include Isaac Martín de Diego, Enrique Cabello, Cristina Conde, Mario Graff, Eric S. Téllez, Sabino Miranda‐Jiménez, José Sánchez del Río, Javier Cabezas, Alberto Fernández-Isabel and Manuel I. Peña‐Cruz. Their work appears in journals such as IEEE Access, Interpersona An International Journal on Personal Relationships, Photogrammetric Engineering & Remote Sensing, Computers & Geosciences and Cities.
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.