Faustino Gomez

9.3k total citations · 1 hit paper
37 papers, 4.5k citations indexed

About

Faustino Gomez is a scholar working on Artificial Intelligence, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Faustino Gomez has authored 37 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 5 papers in Control and Systems Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Faustino Gomez's work include Neural Networks and Applications (16 papers), Reinforcement Learning in Robotics (14 papers) and Evolutionary Algorithms and Applications (14 papers). Faustino Gomez is often cited by papers focused on Neural Networks and Applications (16 papers), Reinforcement Learning in Robotics (14 papers) and Evolutionary Algorithms and Applications (14 papers). Faustino Gomez collaborates with scholars based in Switzerland, United States and Germany. Faustino Gomez's co-authors include Jürgen Schmidhuber, Santiago Fernández, Alex Graves, Risto Miikkulainen, Daan Wierstra, Jan Koutník, Juergen Schmidhuber, Matteo Gagliolo, Alois Knoll and Hermann Mayer and has published in prestigious journals such as Expert Systems with Applications, Neural Computation and Journal of Machine Learning Research.

In The Last Decade

Faustino Gomez

37 papers receiving 4.1k citations

Hit Papers

Connectionist temporal classification 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k 2.5k

Peers

Faustino Gomez
Bhiksha Raj United States
B.-H. Juang United States
Chuang Gan United States
Rajat Monga United States
Alexander Waibel United States
Bruce A. Draper United States
Bhiksha Raj United States
Faustino Gomez
Citations per year, relative to Faustino Gomez Faustino Gomez (= 1×) peers Bhiksha Raj

Countries citing papers authored by Faustino Gomez

Since Specialization
Citations

This map shows the geographic impact of Faustino Gomez'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 Faustino Gomez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faustino Gomez more than expected).

Fields of papers citing papers by Faustino Gomez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Faustino Gomez. 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 Faustino Gomez. The network helps show where Faustino Gomez may publish in the future.

Co-authorship network of co-authors of Faustino Gomez

This figure shows the co-authorship network connecting the top 25 collaborators of Faustino Gomez. A scholar is included among the top collaborators of Faustino Gomez 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 Faustino Gomez. Faustino Gomez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shyam, Pranav, Wojciech Jaśkowski, & Faustino Gomez. (2019). Model-Based Active Exploration. International Conference on Machine Learning. 5779–5788. 12 indexed citations
2.
Ciccone, Marco, et al.. (2018). NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 31. 3025–3035. 4 indexed citations
3.
Fukumizu, Kenji, et al.. (2015). Kernel-Based Information Criterion. Computer and Information Science. 8(1). 1 indexed citations
4.
Koutník, Jan, Klaus Greff, Faustino Gomez, & Juergen Schmidhuber. (2014). A Clockwork RNN. International Conference on Machine Learning. 1863–1871. 56 indexed citations
5.
Srivastava, Rupesh K., et al.. (2013). Compete to Compute. Neural Information Processing Systems. 26. 2310–2318. 51 indexed citations
6.
Sun, Yi, Tom Schaul, Faustino Gomez, & Jürgen Schmidhuber. (2013). A linear time natural evolution strategy for non-separable functions. 61–62. 18 indexed citations
7.
Broersma, Hajo, Faustino Gomez, Julian F. Miller, M.C. Petty, & Gunnar Tufte. (2012). Nascence project: nanoscale engineering for novel computation using evolution. International journal of unconventional computing. 8(4). 313–317. 25 indexed citations
8.
Srivastava, Rupesh K., Jürgen Schmidhuber, & Faustino Gomez. (2012). Generalized compressed network search. 3. 647–648. 1 indexed citations
9.
Sun, Yi, Mark Ring, Jürgen Schmidhuber, & Faustino Gomez. (2011). Incremental Basis Construction from Temporal Difference Error. International Conference on Machine Learning. 481–488. 7 indexed citations
10.
Pape, Leo, Faustino Gomez, Mark Ring, & Jürgen Schmidhuber. (2011). Modular deep belief networks that do not forget. 8. 1191–1198. 11 indexed citations
11.
Cuccu, Giuseppe, Faustino Gomez, & Tobias Glasmachers. (2011). Novelty-based restarts for evolution strategies. 158–163. 11 indexed citations
12.
Cuccu, Giuseppe, Matthew Luciw, Juergen Schmidhuber, & Faustino Gomez. (2011). Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning. SUPSI ARIS. 8 indexed citations
13.
Koutník, Jan, Faustino Gomez, & Jürgen Schmidhuber. (2010). Evolving neural networks in compressed weight space. Zenodo (CERN European Organization for Nuclear Research). 619–626. 44 indexed citations
14.
Gomez, Faustino, Jürgen Schmidhuber, & Risto Miikkulainen. (2008). Accelerated Neural Evolution through Cooperatively Coevolved Synapses. Journal of Machine Learning Research. 9(31). 937–965. 164 indexed citations
15.
Togelius, Julian, Faustino Gomez, & Jürgen Schmidhuber. (2008). Learning what to ignore: Memetic climbing in topology and weight space. 9. 3274–3281. 3 indexed citations
16.
Gomez, Faustino, et al.. (2006). Metric State Space Reinforcement Learning for a Vision-Capable Mobile Robot. ArXiv.org. 272–281. 2 indexed citations
17.
Graves, Alex, Santiago Fernández, Faustino Gomez, & Jürgen Schmidhuber. (2006). Connectionist temporal classification. 369–376. 2921 indexed citations breakdown →
18.
Wierstra, Daan, et al.. (2005). Evolino: Hybrid Neuroevolution / Optimal Linear Search for Sequence Prediction. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 18 indexed citations
19.
Schmidhuber, Jürgen, Daan Wierstra, & Faustino Gomez. (2005). Evolino: hybrid neuroevolution / optimal linear search for sequence learning. International Joint Conference on Artificial Intelligence. 853–858. 56 indexed citations
20.
Gomez, Faustino & Risto Miikkulainen. (1999). Solving Non-Markovian Control Tasks with Neuro-Evolution. International Joint Conference on Artificial Intelligence. 1356–1361. 144 indexed citations

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.

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