Claudio Mattiussi
- Artificial Intelligence top 2%
- Evolutionary Algorithms and Applications 9
- Reinforcement Learning in Robotics 5
- Metaheuristic Optimization Algorithms Research 3
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 6
- Molecular Biology top 10%
- Gene Regulatory Network Analysis 9
- Bioinformatics and Genomic Networks 4
- Biophysics top 10%
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- Advanced Memory and Neural Computing 5
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- Non-Invasive Vital Sign Monitoring 3
- Co-authors
- Dario FloreanoPeter DürrDaniel MarbachThomas SchaffterRobert J. PrillGustavo StolovitzkyWalter KarlenAndrea Soltoggio
- Journals
- Evolutionary Computation (2 papers)Annals of the New York Academy of Sciences (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- SwitzerlandUnited KingdomFrance
In The Last Decade
Claudio Mattiussi
30 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 690
- Cognitive Neuroscience 262
- Molecular Biology 837
- Computational Theory and Mathematics 146
- Biophysics 37
Countries citing papers authored by Claudio Mattiussi
This map shows the geographic impact of Claudio Mattiussi'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 Claudio Mattiussi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Mattiussi more than expected).
Fields of papers citing papers by Claudio Mattiussi
This network shows the impact of papers produced by Claudio Mattiussi. 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 Claudio Mattiussi. The network helps show where Claudio Mattiussi may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Claudio Mattiussi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 1 | |
| 2 | Revealing strengths and weaknesses of methods for gene network inferencebreakdown → | 2010 | 520 |
| 3 | 2009 | 25 | |
| 4 | 2009 | 23 | |
| 5 | 2009 | 301 | |
| 6 | 2009 | 106 | |
| 7 | Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios | 2008 | 75 |
| 8 | 2008 | 12 | |
| 9 | 2008 | 19 | |
| 10 | Neuroevolution: from architectures to learningbreakdown → | 2008 | 409 |
| 11 | 2008 | 31 | |
| 12 | 2007 | 49 | |
| 13 | 2007 | 96 | |
| 14 | 2007 | 9 | |
| 15 | Vision-based Altitude and Pitch Estimation for Ultra-light Indoor Aircraft | 2006 | 5 |
| 16 | 2006 | 27 | |
| 17 | 2005 | 16 | |
| 18 | 2004 | 8 | |
| 19 | Manuale sulle Reti Neurali | 2002 | 13 |
| 20 | 2001 | 16 |
About Claudio Mattiussi
Claudio Mattiussi is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Biophysics, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Evolutionary Algorithms and Applications (9 papers), Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (5 papers), Reinforcement Learning in Robotics (5 papers), Bioinformatics and Genomic Networks (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Artificial Intelligence (690 citations), Cognitive Neuroscience (262 citations) and Molecular Biology (837 citations). Claudio Mattiussi has collaborated with scholars based in Switzerland, United Kingdom and France. Frequent co-authors include Dario Floreano, Peter Dürr, Daniel Marbach, Thomas Schaffter, Robert J. Prill, Gustavo Stolovitzky, Walter Karlen, Andrea Soltoggio, John A. Bullinaria and Jean‐Christophe Zufferey. Their work appears in journals such as Evolutionary Computation, Annals of the New York Academy of Sciences, Proceedings of the National Academy of Sciences, Electromagnetic waves and Acta Biotheoretica.
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.