Moises Díaz
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Media Technology top 1%
- Vehicle License Plate Recognition
Papers in ⓘ
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- Handwritten Text Recognition Techniques 50
- Image Processing and 3D Reconstruction 21
- Image Retrieval and Classification Techniques 9
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- Hand Gesture Recognition Systems 14
- Co-authors
- Miguel A. Ferrer (66 shared papers)Aythami Morales (15 shared papers)Réjean Plamondon (12 shared papers)Donato Impedovo (8 shared papers)Giuseppe Pirlo (9 shared papers)Antonio Castrillo (5 shared papers)Pietro Cerri (2 shared papers)Cynthia Hong (3 shared papers)
In The Last Decade
Moises Díaz
75 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 1.1k
- Media Technology 345
- Human-Computer Interaction 208
- Immunology 606
- Signal Processing 191
Countries citing papers authored by Moises Díaz
This map shows the geographic impact of Moises Díaz'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 Moises Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moises Díaz more than expected).
Fields of papers citing papers by Moises Díaz
This network shows the impact of papers produced by Moises Díaz. 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 Moises Díaz. The network helps show where Moises Díaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Moises Díaz, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Apoptotic Cells Promote Their Own Clearance and Immune Tolerance through Activation of the Nuclear Receptor LXR Hit paper breakdown → | 2009 | 544 |
| 2 | 2019 | 144 | |
| 3 | 2013 | 142 | |
| 4 | 2016 | 96 | |
| 5 | 2016 | 94 | |
| 6 | 2015 | 91 | |
| 7 | 2014 | 87 | |
| 8 | 2012 | 85 | |
| 9 | 2014 | 83 | |
| 10 | 2020 | 72 | |
| 11 | 2019 | 71 | |
| 12 | 2020 | 69 | |
| 13 | 2012 | 59 | |
| 14 | 2016 | 59 | |
| 15 | 2013 | 57 | |
| 16 | 2015 | 47 | |
| 17 | 2016 | 43 | |
| 18 | 2015 | 41 | |
| 19 | 2018 | 38 | |
| 20 | 2018 | 35 |
About Moises Díaz
Moises Díaz is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Signal Processing and Media Technology, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (50 papers), Image Processing and 3D Reconstruction (21 papers), Natural Language Processing Techniques (20 papers), Hand Gesture Recognition Systems (14 papers), Image Retrieval and Classification Techniques (9 papers), Biometric Identification and Security (5 papers), Vehicle License Plate Recognition (5 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (345 citations), Human-Computer Interaction (208 citations), Immunology (606 citations) and Signal Processing (191 citations). Moises Díaz has collaborated with scholars based in Spain, Italy and Canada. Frequent co-authors include Miguel A. Ferrer, Aythami Morales, Réjean Plamondon, Donato Impedovo, Giuseppe Pirlo, Antonio Castrillo, Pietro Cerri, Cynthia Hong, Peter Tontonoz and Andreas Fischer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters, Cognitive Computation, Expert Systems with Applications and Pattern Recognition.
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.