Francisco Souza
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Mechanical Engineering
- Electrical and Electronic Engineering
- Analytical Chemistry top 10%
- Co-authors
- Rui AraújoJérôme MendesCarlos Henggeler AntunesCristiano PremebidaNuno GonçalvesJorge LandeckJoão P. BarretoLuiz H. S. C. Barreto
- Topics
- Fault Detection and Control Systems (23 papers)Advanced Control Systems Optimization (15 papers)Neural Networks and Applications (13 papers)
- Cited by
- Control and Systems EngineeringArtificial IntelligenceIndustrial and Manufacturing Engineering
- Partner nations
- PortugalNetherlandsBrazil
In The Last Decade
Francisco Souza
46 papers receiving 804 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Control and Systems Engineering 466
- Artificial Intelligence 305
- Mechanical Engineering 136
- Electrical and Electronic Engineering 108
- Analytical Chemistry 57
Countries citing papers authored by Francisco Souza
This map shows the geographic impact of Francisco Souza'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 Francisco Souza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Souza more than expected).
Fields of papers citing papers by Francisco Souza
This network shows the impact of papers produced by Francisco Souza. 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 Francisco Souza. The network helps show where Francisco Souza may publish in the future.
Co-authorship network of co-authors of Francisco Souza
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Souza. A scholar is included among the top collaborators of Francisco Souza 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 Francisco Souza. Francisco Souza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 22 | |
| 15 | 14 | |
| 16 | 23 | |
| 17 | 47 | |
| 18 | 3 | |
| 19 | 39 | |
| 20 | 2 |
About Francisco Souza
Francisco Souza is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 47 papers that have together received 820 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (23 papers), Advanced Control Systems Optimization (15 papers) and Neural Networks and Applications (13 papers). The work is most often cited by research in Control and Systems Engineering (466 citations), Artificial Intelligence (305 citations) and Industrial and Manufacturing Engineering (52 citations). Francisco Souza has collaborated with scholars based in Portugal, Netherlands and Brazil. Frequent co-authors include Rui Araújo, Jérôme Mendes, Carlos Henggeler Antunes, Cristiano Premebida, Nuno Gonçalves, Jorge Landeck, João P. Barreto, Luiz H. S. C. Barreto, G.C. Branco and Diego R. Faria. Their work appears in journals such as Water Resources Research, Expert Systems with Applications and Energy.
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.