Jordi Delgado
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Josep M. PujolRamón SangüesaAndreas FlacheRicard V. SoléJavier AlonsoSusanna C. ManrubiaBartolo LuqueJordi Bascompte
- Topics
- Complex Network Analysis Techniques (7 papers)Opinion Dynamics and Social Influence (6 papers)Insect and Arachnid Ecology and Behavior (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionStatistical and Nonlinear Physics
- Partner nations
- SpainNetherlandsUnited States
In The Last Decade
Jordi Delgado
20 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Artificial Intelligence 2.3k
- Computer Vision and Pattern Recognition 892
- Information Systems 712
- Computer Networks and Communications 455
- Statistical and Nonlinear Physics 436
Countries citing papers authored by Jordi Delgado
This map shows the geographic impact of Jordi Delgado'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 Jordi Delgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordi Delgado more than expected).
Fields of papers citing papers by Jordi Delgado
This network shows the impact of papers produced by Jordi Delgado. 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 Jordi Delgado. The network helps show where Jordi Delgado may publish in the future.
Co-authorship network of co-authors of Jordi Delgado
This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Delgado. A scholar is included among the top collaborators of Jordi Delgado 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 Jordi Delgado. Jordi Delgado 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 | 11 | |
| 3 | 6 | |
| 4 | De la tortuga LOGO al gat Scratch | 1 |
| 5 | 77 | |
| 6 | Proceedings of the 19th International Joint Conference on Artificial Intelligencebreakdown → | 3904 |
| 7 | The role of clustering on the emergence of efficient social conventions | 22 |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 152 | |
| 11 | 91 | |
| 12 | 17 | |
| 13 | 25 | |
| 14 | 20 | |
| 15 | 1 | |
| 16 | 34 | |
| 17 | 7 | |
| 18 | 79 | |
| 19 | 16 | |
| 20 | Evidence of a noise induced transition in fluid neural networks | 1 |
About Jordi Delgado
Jordi Delgado is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Health Information Management, having authored 21 papers that have together received 4.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (6 papers) and Insect and Arachnid Ecology and Behavior (4 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Computer Vision and Pattern Recognition (892 citations) and Statistical and Nonlinear Physics (436 citations). Jordi Delgado has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Josep M. Pujol, Ramón Sangüesa, Andreas Flache, Ricard V. Solé, Javier Alonso, Susanna C. Manrubia, Bartolo Luque, Jordi Bascompte, Jesús Montero‐Marín and Pau Fernández. Their work appears in journals such as Journal of Theoretical Biology, Artificial Intelligence and Physics Letters A.
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.