Rocco Langone
Impact in
- Computational Mathematics top 10%
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- Face and Expression Recognition
Papers in
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- Advanced Clustering Algorithms Research 18
- Machine Learning and ELM 4
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- Face and Expression Recognition 13
- Co-authors
- Johan A. K. Suykens (33 shared papers)Raghvendra Mall (15 shared papers)Carlos Alzate (7 shared papers)Siamak Mehrkanoon (3 shared papers)Antonello Pasini (4 shared papers)Alfredo Cuzzocrea (1 shared paper)Edwin Reynders (1 shared paper)Bart De Ketelaere (2 shared papers)
In The Last Decade
Rocco Langone
38 papers receiving 702 citations
Peers
Comparison fields: 5 of 95
- Computational Mathematics 10
- Computer Vision and Pattern Recognition 255
- Artificial Intelligence 338
- Media Technology 89
- Statistical and Nonlinear Physics 112
Countries citing papers authored by Rocco Langone
This map shows the geographic impact of Rocco Langone'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 Rocco Langone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rocco Langone more than expected).
Fields of papers citing papers by Rocco Langone
This network shows the impact of papers produced by Rocco Langone. 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 Rocco Langone. The network helps show where Rocco Langone may publish in the future.
Co-authors
The 16 scholars most cited alongside Rocco Langone, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2016 | 69 | |
| 3 | 2014 | 67 | |
| 4 | 2017 | 62 | |
| 5 | 2020 | 51 | |
| 6 | 2013 | 48 | |
| 7 | 2015 | 41 | |
| 8 | 2014 | 28 | |
| 9 | 2014 | 26 | |
| 10 | 2010 | 23 | |
| 11 | 2013 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2013 | 20 | |
| 14 | 2012 | 18 | |
| 15 | 2017 | 16 | |
| 16 | 2013 | 14 | |
| 17 | 2013 | 14 | |
| 18 | 2014 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2013 | 9 |
About Rocco Langone
Rocco Langone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Molecular Biology and Media Technology, having authored 38 papers that have together received 721 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (18 papers), Complex Network Analysis Techniques (14 papers), Face and Expression Recognition (13 papers), Remote-Sensing Image Classification (6 papers), Opinion Dynamics and Social Influence (5 papers), Bioinformatics and Genomic Networks (5 papers), Fault Detection and Control Systems (4 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Computational Mathematics (10 citations), Computer Vision and Pattern Recognition (255 citations), Artificial Intelligence (338 citations), Media Technology (89 citations) and Statistical and Nonlinear Physics (112 citations). Rocco Langone has collaborated with scholars based in Belgium, Italy and Ireland. Frequent co-authors include Johan A. K. Suykens, Raghvendra Mall, Carlos Alzate, Siamak Mehrkanoon, Antonello Pasini, Alfredo Cuzzocrea, Edwin Reynders, Bart De Ketelaere, Wannes Meert and Bart De Moor. Their work appears in journals such as Neurocomputing, PLoS ONE, Information Sciences, Data & Knowledge Engineering and Engineering Applications of Artificial Intelligence.
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.