K. Alfaro-Bittner
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 10%
- Sociology and Political Science
- Artificial Intelligence top 10%
- Co-authors
- Stefano BoccalettiMiguel RomanceRegino CriadoMarcel G. ClercCharo I. del GenioPietro De LellisSarika JalanА. М. Райгородский
- Topics
- Nonlinear Dynamics and Pattern Formation (19 papers)Complex Network Analysis Techniques (9 papers)Opinion Dynamics and Social Influence (9 papers)
In The Last Decade
K. Alfaro-Bittner
30 papers receiving 745 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 454
- Computer Networks and Communications 309
- Cognitive Neuroscience 129
- Sociology and Political Science 114
- Artificial Intelligence 99
Countries citing papers authored by K. Alfaro-Bittner
This map shows the geographic impact of K. Alfaro-Bittner'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 K. Alfaro-Bittner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Alfaro-Bittner more than expected).
Fields of papers citing papers by K. Alfaro-Bittner
This network shows the impact of papers produced by K. Alfaro-Bittner. 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 K. Alfaro-Bittner. The network helps show where K. Alfaro-Bittner may publish in the future.
Co-authorship network of co-authors of K. Alfaro-Bittner
This figure shows the co-authorship network connecting the top 25 collaborators of K. Alfaro-Bittner. A scholar is included among the top collaborators of K. Alfaro-Bittner 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 K. Alfaro-Bittner. K. Alfaro-Bittner 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 | 2 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | The synchronized dynamics of time-varying networksbreakdown → | 116 |
| 10 | 16 | |
| 11 | 49 | |
| 12 | 42 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 45 | |
| 16 | 19 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 59 | |
| 20 | 7 |
About K. Alfaro-Bittner
K. Alfaro-Bittner is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 33 papers that have together received 773 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (19 papers), Complex Network Analysis Techniques (9 papers) and Opinion Dynamics and Social Influence (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (454 citations), Computer Networks and Communications (309 citations) and Cognitive Neuroscience (129 citations). K. Alfaro-Bittner has collaborated with scholars based in Spain, Chile and Italy. Frequent co-authors include Stefano Boccaletti, Miguel Romance, Regino Criado, Marcel G. Clerc, Charo I. del Genio, Pietro De Lellis, Sarika Jalan, А. М. Райгородский, Sarbendu Rakshit and Mattia Frasca. Their work appears in journals such as Physical Review Letters, Nature Communications and Scientific Reports.
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.