Paulito Palmes
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Topics
- Neural Networks and Applications (4 papers)Machine Learning and Algorithms (3 papers)Machine Learning and Data Classification (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal on Selected Areas in CommunicationsIEEE Transactions on Biomedical Engineering
In The Last Decade
Paulito Palmes
18 papers receiving 420 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 167
- Artificial Intelligence 142
- Computer Networks and Communications 113
- Electrical and Electronic Engineering 51
- Control and Systems Engineering 39
Countries citing papers authored by Paulito Palmes
This map shows the geographic impact of Paulito Palmes'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 Paulito Palmes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulito Palmes more than expected).
Fields of papers citing papers by Paulito Palmes
This network shows the impact of papers produced by Paulito Palmes. 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 Paulito Palmes. The network helps show where Paulito Palmes may publish in the future.
Co-authorship network of co-authors of Paulito Palmes
This figure shows the co-authorship network connecting the top 25 collaborators of Paulito Palmes. A scholar is included among the top collaborators of Paulito Palmes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paulito Palmes. Paulito Palmes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 39 | |
| 3 | 1 | |
| 4 | 32 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 29 | |
| 11 | 60 | |
| 12 | 90 | |
| 13 | 15 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 108 | |
| 18 | 5 |
About Paulito Palmes
Paulito Palmes is a scholar working on Artificial Intelligence, Signal Processing and Software, having authored 18 papers that have together received 444 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Machine Learning and Algorithms (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Computer Networks and Communications (113 citations) and Artificial Intelligence (142 citations). Paulito Palmes has collaborated with scholars based in Japan, Singapore and Ireland. Frequent co-authors include S. Usui, Tao Gu, Wenwei Xue, Hung Keng Pung, Ramón Filgueira, Jon Grant, Fearghal O’Donncha, Jian Zhu, Wing Lok Au and Ferdinan Widjaja. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Biomedical Engineering.
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.