Alberto Cano
Impact in
- Computer Science Applications top 0.5%
- Online Learning and Analytics
- Artificial Intelligence top 0.5%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Text and Document Classification Technologies
- Metaheuristic Optimization Algorithms Research
Papers in
-
- Machine Learning and Data Classification 29
- Data Stream Mining Techniques 27
- Evolutionary Algorithms and Applications 19
- Metaheuristic Optimization Algorithms Research 17
- Text and Document Classification Technologies 17
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- Scheduling and Optimization Algorithms 14
- Assembly Line Balancing Optimization 12
- Co-authors
- Sebastián Ventura (40 shared papers)Bartosz Krawczyk (15 shared papers)Youcef Djenouri (13 shared papers)Asma Belhadi (10 shared papers)Amelia Zafra (12 shared papers)Jerry Chun‐Wei Lin (10 shared papers)Cristobal Romero Morales (4 shared papers)Joaquín Bautista Valhondo (12 shared papers)
- Journals
- Information Sciences (7 papers)IEEE Access (5 papers)Machine Learning (4 papers)Applied Intelligence (4 papers)Knowledge-Based Systems (4 papers)
- Partner nations
- United StatesSpainNorway
In The Last Decade
Alberto Cano
101 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 136
- Computer Science Applications 437
- Artificial Intelligence 2.0k
- Signal Processing 314
- Health Information Management 117
- Information Systems 526
Countries citing papers authored by Alberto Cano
This map shows the geographic impact of Alberto Cano'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 Alberto Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Cano more than expected).
Fields of papers citing papers by Alberto Cano
This network shows the impact of papers produced by Alberto Cano. 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 Alberto Cano. The network helps show where Alberto Cano may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Cano, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 249 | |
| 2 | 2012 | 180 | |
| 3 | 2019 | 145 | |
| 4 | 2017 | 118 | |
| 5 | 2019 | 117 | |
| 6 | 2019 | 113 | |
| 7 | 2019 | 96 | |
| 8 | 2013 | 96 | |
| 9 | 2023 | 95 | |
| 10 | 2022 | 88 | |
| 11 | 2017 | 84 | |
| 12 | 2019 | 69 | |
| 13 | 2017 | 69 | |
| 14 | 2013 | 64 | |
| 15 | 2010 | 56 | |
| 16 | 2019 | 52 | |
| 17 | 2020 | 46 | |
| 18 | 2018 | 46 | |
| 19 | 2018 | 43 | |
| 20 | 2020 | 41 |
About Alberto Cano
Alberto Cano is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Signal Processing, Information Systems and Computational Theory and Mathematics, having authored 110 papers that have together received 3.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (29 papers), Data Stream Mining Techniques (27 papers), Evolutionary Algorithms and Applications (19 papers), Metaheuristic Optimization Algorithms Research (17 papers), Text and Document Classification Technologies (17 papers), Scheduling and Optimization Algorithms (14 papers), Data Mining Algorithms and Applications (13 papers) and Assembly Line Balancing Optimization (12 papers). The work is most often cited by research in Computer Science Applications (437 citations), Artificial Intelligence (2.0k citations), Signal Processing (314 citations), Health Information Management (117 citations) and Information Systems (526 citations). Alberto Cano has collaborated with scholars based in United States, Spain and Norway. Frequent co-authors include Sebastián Ventura, Bartosz Krawczyk, Youcef Djenouri, Asma Belhadi, Amelia Zafra, Jerry Chun‐Wei Lin, Cristobal Romero Morales, Joaquín Bautista Valhondo, José María Luna and Djamel Djenouri. Their work appears in journals such as Information Sciences, IEEE Access, Machine Learning, Applied Intelligence and Knowledge-Based Systems.
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.