Fernando Gama
Impact in
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Reinforcement Learning in Robotics
- Machine Learning and ELM
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- Robotic Path Planning Algorithms
- Graph Theory and Algorithms
Papers in
-
- Advanced Graph Neural Networks 25
- Topic Modeling 5
- Target Tracking and Data Fusion in Sensor Networks 4
- Machine Learning and ELM 4
- Domain Adaptation and Few-Shot Learning 3
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- Complex Network Analysis Techniques 12
- Co-authors
- Alejandro Ribeiro (29 shared papers)Antonio G. Marqués (7 shared papers)Geert Leus (7 shared papers)Luana Ruiz (3 shared papers)Joan Bruna (3 shared papers)Qingbiao Li (3 shared papers)Amanda Prorok (3 shared papers)Elvin Isufi (5 shared papers)
- Journals
- IEEE Transactions on Signal Processing (12 papers)IEEE Transactions on Signal and Information Processing over Networks (2 papers)Energy and AI (1 paper)Signal Processing (1 paper)IEEE Latin America Transactions (1 paper)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Fernando Gama
40 papers receiving 992 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 569
- Computer Vision and Pattern Recognition 262
- Computer Networks and Communications 232
- Computational Mathematics 6
- Statistical and Nonlinear Physics 124
Countries citing papers authored by Fernando Gama
This map shows the geographic impact of Fernando Gama'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 Fernando Gama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Gama more than expected).
Fields of papers citing papers by Fernando Gama
This network shows the impact of papers produced by Fernando Gama. 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 Fernando Gama. The network helps show where Fernando Gama may publish in the future.
Co-authors
The 24 scholars most cited alongside Fernando Gama, 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 | 2018 | 187 | |
| 2 | 2020 | 174 | |
| 3 | 2020 | 129 | |
| 4 | 2020 | 124 | |
| 5 | 2018 | 48 | |
| 6 | 2024 | 42 | |
| 7 | 2022 | 38 | |
| 8 | 2019 | 36 | |
| 9 | 2022 | 22 | |
| 10 | 2022 | 21 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 13 | |
| 13 | 2024 | 13 | |
| 14 | 2021 | 13 | |
| 15 | Stability of Graph Scattering Transforms | 2019 | 12 |
| 16 | 2023 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2019 | 9 |
About Fernando Gama
Fernando Gama is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (25 papers), Complex Network Analysis Techniques (12 papers), Advanced Memory and Neural Computing (7 papers), Topic Modeling (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Machine Learning and ELM (4 papers), Advanced Statistical Methods and Models (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Artificial Intelligence (569 citations), Computer Vision and Pattern Recognition (262 citations), Computer Networks and Communications (232 citations), Computational Mathematics (6 citations) and Statistical and Nonlinear Physics (124 citations). Fernando Gama has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Alejandro Ribeiro, Antonio G. Marqués, Geert Leus, Luana Ruiz, Joan Bruna, Qingbiao Li, Amanda Prorok, Elvin Isufi, Santiago Segarra and David I Shuman. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, Energy and AI, Signal Processing and IEEE Latin America Transactions.
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.