I. Sendiña–Nadal
- Computer Networks and Communications top 1%
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 5%
- Biomedical Engineering
- Molecular Biology
- Co-authors
- I. LeyvaStefano BoccalettiJavier M. BuldúJuan A. AlmendralR. Sevilla-EscobozaV. Pérez‐MuñuzuriRicardo GutiérrezFrancesc Sagués
- Topics
- Nonlinear Dynamics and Pattern Formation (52 papers)Neural dynamics and brain function (27 papers)stochastic dynamics and bifurcation (27 papers)
In The Last Decade
I. Sendiña–Nadal
69 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 1.2k
- Statistical and Nonlinear Physics 1.0k
- Cognitive Neuroscience 574
- Biomedical Engineering 214
- Molecular Biology 208
Countries citing papers authored by I. Sendiña–Nadal
This map shows the geographic impact of I. Sendiña–Nadal'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 I. Sendiña–Nadal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Sendiña–Nadal more than expected).
Fields of papers citing papers by I. Sendiña–Nadal
This network shows the impact of papers produced by I. Sendiña–Nadal. 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 I. Sendiña–Nadal. The network helps show where I. Sendiña–Nadal may publish in the future.
Co-authorship network of co-authors of I. Sendiña–Nadal
This figure shows the co-authorship network connecting the top 25 collaborators of I. Sendiña–Nadal. A scholar is included among the top collaborators of I. Sendiña–Nadal 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 I. Sendiña–Nadal. I. Sendiña–Nadal 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 49 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 42 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 63 | |
| 15 | 7 | |
| 16 | 23 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | Assortativity and leadership emerge from anti-preferential attachment in heterogeneous networks | 13 |
| 20 | 88 |
About I. Sendiña–Nadal
I. Sendiña–Nadal is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (52 papers), Neural dynamics and brain function (27 papers) and stochastic dynamics and bifurcation (27 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Computer Networks and Communications (1.2k citations) and Cognitive Neuroscience (574 citations). I. Sendiña–Nadal has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include I. Leyva, Stefano Boccaletti, Javier M. Buldú, Juan A. Almendral, R. Sevilla-Escoboza, V. Pérez‐Muñuzuri, Ricardo Gutiérrez, Francesc Sagués, A. Navas and Christophe Letellier. Their work appears in journals such as Physical Review Letters, PLoS ONE 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.