Edison Marrese-Taylor
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Software top 10%
Papers in
-
- Topic Modeling 17
- Natural Language Processing Techniques 13
- Sentiment Analysis and Opinion Mining 9
- Advanced Text Analysis Techniques 5
-
- Multimodal Machine Learning Applications 7
- Human Pose and Action Recognition 3
- Co-authors
- Yutaka Matsuo (14 shared papers)Felipe Bravo-Márquez (5 shared papers)Juan D. Velásquez (4 shared papers)Pablo Loyola (6 shared papers)Jorge Balazs (6 shared papers)Suzana Ilić (1 shared paper)Yutaka Matsuo (8 shared papers)Machel Reid (4 shared papers)
- Journals
- Information Fusion (1 paper)Expert Systems with Applications (1 paper)ANU Open Research (Australian National University) (1 paper)Research Commons (University of Waikato) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Edison Marrese-Taylor
28 papers receiving 509 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 423
- Software 29
- Information Systems 163
- Health Informatics 5
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Edison Marrese-Taylor
This map shows the geographic impact of Edison Marrese-Taylor'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 Edison Marrese-Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edison Marrese-Taylor more than expected).
Fields of papers citing papers by Edison Marrese-Taylor
This network shows the impact of papers produced by Edison Marrese-Taylor. 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 Edison Marrese-Taylor. The network helps show where Edison Marrese-Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Edison Marrese-Taylor, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2017 | 79 | |
| 3 | 2018 | 78 | |
| 4 | 2013 | 71 | |
| 5 | 2021 | 26 | |
| 6 | 2015 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2024 | 14 | |
| 10 | 2017 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2021 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2019 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Edison Marrese-Taylor
Edison Marrese-Taylor is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Communication, having authored 31 papers that have together received 539 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (13 papers), Sentiment Analysis and Opinion Mining (9 papers), Multimodal Machine Learning Applications (7 papers), Advanced Text Analysis Techniques (5 papers), Software Engineering Research (5 papers), Misinformation and Its Impacts (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Artificial Intelligence (423 citations), Software (29 citations), Information Systems (163 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (55 citations). Edison Marrese-Taylor has collaborated with scholars based in Japan, Chile and Australia. Frequent co-authors include Yutaka Matsuo, Felipe Bravo-Márquez, Juan D. Velásquez, Pablo Loyola, Jorge Balazs, Suzana Ilić, Yutaka Matsuo, Machel Reid, Hongdong Li and Stephen Jay Gould. Their work appears in journals such as Information Fusion, Expert Systems with Applications, ANU Open Research (Australian National University), Research Commons (University of Waikato) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.