Clara Granell
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 9
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 11
- Opinion Dynamics and Social Influence 6
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- Mental Health Research Topics 3
- Transportation top 5%
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- Neural dynamics and brain function 3
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- Influenza Virus Research Studies 3
- Data-Driven Disease Surveillance 3
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- Bioinformatics and Genomic Networks 3
- Co-authors
- Àlex ArenasSergio GómezManlio De DomenicoMason A. PorterJesús Gómez‐GardeñesBenjamin SteineggerDavid Soriano‐PañosJoan T. Matamalas
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsExperimental and Cognitive Psychology
- Partner nations
- SpainUnited StatesFinland
In The Last Decade
Clara Granell
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Modeling and Simulation 587
- Statistical and Nonlinear Physics 1.4k
- Experimental and Cognitive Psychology 182
- Computer Networks and Communications 272
- Transportation 67
Countries citing papers authored by Clara Granell
This map shows the geographic impact of Clara Granell'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 Clara Granell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Granell more than expected).
Fields of papers citing papers by Clara Granell
This network shows the impact of papers produced by Clara Granell. 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 Clara Granell. The network helps show where Clara Granell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clara Granell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2021 | 12 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 142 | |
| 8 | 2019 | 16 | |
| 9 | 2018 | 32 | |
| 10 | 2018 | 12 | |
| 11 | 2016 | 33 | |
| 12 | 2015 | 45 | |
| 13 | 2015 | 8 | |
| 14 | Transiciones de fase en epidemias | 2014 | 0 |
| 15 | 2014 | 52 | |
| 16 | Competing spreading processes on multiplex networks: Awareness and epidemicsbreakdown → | 2014 | 297 |
| 17 | Occurrence of emerging contaminants in agricultural soils, sewage sludge and waters in Valencia (E Spain) | 2013 | 1 |
| 18 | Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networksbreakdown → | 2013 | 748 |
| 19 | 2013 | 7 | |
| 20 | 2012 | 8 |
About Clara Granell
Clara Granell is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (11 papers), COVID-19 epidemiological studies (9 papers), Opinion Dynamics and Social Influence (6 papers), Neural dynamics and brain function (3 papers), Influenza Virus Research Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Data-Driven Disease Surveillance (3 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Modeling and Simulation (587 citations), Statistical and Nonlinear Physics (1.4k citations) and Experimental and Cognitive Psychology (182 citations). Clara Granell has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Àlex Arenas, Sergio Gómez, Manlio De Domenico, Mason A. Porter, Jesús Gómez‐Gardeñes, Benjamin Steinegger, David Soriano‐Paños, Joan T. Matamalas, Wesley Cota and Peter J. Mucha.
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.