Jaume Bacardit
- Artificial Intelligence top 0.5%
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Information Systems top 2%
- Rheumatology top 5%
- Co-authors
- Natalio KrasnogorFrancisco HerreraSalvador GarcíaJosep M. GarrellLuciano SánchezJesús Alcalá‐FdezJuan Carlos Fernández FernándezSebastián Ventura
- Topics
- Evolutionary Algorithms and Applications (38 papers)Metaheuristic Optimization Algorithms Research (27 papers)Osteoarthritis Treatment and Mechanisms (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Jaume Bacardit
102 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 1.9k
- Molecular Biology 720
- Computational Theory and Mathematics 508
- Information Systems 328
- Rheumatology 313
Countries citing papers authored by Jaume Bacardit
This map shows the geographic impact of Jaume Bacardit'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 Jaume Bacardit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaume Bacardit more than expected).
Fields of papers citing papers by Jaume Bacardit
This network shows the impact of papers produced by Jaume Bacardit. 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 Jaume Bacardit. The network helps show where Jaume Bacardit may publish in the future.
Co-authorship network of co-authors of Jaume Bacardit
This figure shows the co-authorship network connecting the top 25 collaborators of Jaume Bacardit. A scholar is included among the top collaborators of Jaume Bacardit 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 Jaume Bacardit. Jaume Bacardit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 74 | |
| 14 | 62 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 169 | |
| 18 | Learning Classifier Systems : 11th International Workshop, IWLCS 2008, Atlanta, GA, USA, July 13, 2008, and 12th International Workshop, IWLCS 2009, Montreal, QC, Canada, July 9, 2009 : revised selected papers | 1 |
| 19 | 46 | |
| 20 | Learning Classifier Systems: 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers | 6 |
About Jaume Bacardit
Jaume Bacardit is a scholar working on Artificial Intelligence, Rheumatology and Small Animals, having authored 106 papers that have together received 3.5k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (38 papers), Metaheuristic Optimization Algorithms Research (27 papers) and Osteoarthritis Treatment and Mechanisms (19 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computational Theory and Mathematics (508 citations) and Small Animals (184 citations). Jaume Bacardit has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Natalio Krasnogor, Francisco Herrera, Salvador García, Josep M. Garrell, Luciano Sánchez, Jesús Alcalá‐Fdez, Juan Carlos Fernández Fernández, Sebastián Ventura, María José del Jesús and José Otero. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.