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
- Topic Modeling 8
- Advanced Text Analysis Techniques 8
- Hate Speech and Cyberbullying Detection 5
- Natural Language Processing Techniques 5
- Co-authors
- Isaac Martín de DiegoEnrique CabelloCristina CondeMario GraffEric S. TéllezSabino Miranda‐JiménezJosé Sánchez del RíoAlberto Fernández-Isabel
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 7 | |
| 11 | A Python Library for Exploratory Data Analysis and Knowledge Discovery on Twitter Data. | 2020 | 1 |
| 12 | INGEOTEC at IberLEF 2019 Task HaHa. | 2019 | 2 |
| 13 | 2019 | 11 | |
| 14 | A Contextualized Word Representation Approach for Irony Detection. | 2019 | 3 |
| 15 | Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus. | 2019 | 12 |
| 16 | Gender Identification through Multi-modal Tweet Analysis using MicroTC and Bag of Visual Words: Notebook for PAN at CLEF 2018. | 2018 | 2 |
| 17 | INGEOTEC at MEX-A3T: Author Profiling and Aggressiveness Analysis in Twitter Using μTC and EvoMSA. | 2018 | 3 |
| 18 | 2018 | 6 | |
| 19 | Gender and language-variety Identification with MicroTC. | 2017 | 3 |
| 20 | 2012 | 41 |
About Daniela Moctezuma
Daniela Moctezuma is a scholar working on Artificial Intelligence, Space and Planetary Science, Computer Vision and Pattern Recognition, Human-Computer Interaction 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), Topic Modeling (8 papers), Advanced Text Analysis Techniques (8 papers), Spam and Phishing Detection (5 papers), Hate Speech and Cyberbullying Detection (5 papers), Video Surveillance and Tracking Methods (5 papers), Face and Expression Recognition (5 papers) and Natural Language Processing Techniques (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, Alberto Fernández-Isabel, Javier Cabezas and Manuel I. Peña‐Cruz. Their work appears in journals such as IEEE Access, Photogrammetric Engineering & Remote Sensing, Computers & Geosciences, Cities and Signal Processing Image Communication.
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.