J. Borondo
Impact in
- Communication top 2%
- Social Media and Politics
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- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
Papers in
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- Complex Network Analysis Techniques 10
- Opinion Dynamics and Social Influence 10
- Model Reduction and Neural Networks 3
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- Social Media and Politics 6
- Co-authors
- Juan Carlos Losada (13 shared papers)R. M. Benito (10 shared papers)Alfredo J. Morales (8 shared papers)F. Borondo (6 shared papers)Carlos Rodríguez‐Sickert (1 shared paper)César A. Hidalgo (1 shared paper)Antonio Saá-Requejo (1 shared paper)Ana M. Tarquís (3 shared papers)
In The Last Decade
J. Borondo
19 papers receiving 404 citations
Peers
Comparison fields: 5 of 69
- Communication 195
- Statistical and Nonlinear Physics 253
- Linguistics and Language 22
- Sociology and Political Science 145
- Transportation 19
Countries citing papers authored by J. Borondo
This map shows the geographic impact of J. Borondo'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 J. Borondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Borondo more than expected).
Fields of papers citing papers by J. Borondo
This network shows the impact of papers produced by J. Borondo. 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 J. Borondo. The network helps show where J. Borondo may publish in the future.
Co-authors
The 9 scholars most cited alongside J. Borondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2012 | 77 | |
| 3 | Efficiency of human activity on information spreading on Twitter | 2014 | 72 |
| 4 | 2015 | 27 | |
| 5 | 2014 | 21 | |
| 6 | 2014 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2016 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About J. Borondo
J. Borondo is a scholar working on Statistical and Nonlinear Physics, Communication, Economics and Econometrics, Artificial Intelligence and Finance, having authored 23 papers that have together received 416 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (10 papers), Social Media and Politics (6 papers), Complex Systems and Time Series Analysis (5 papers), Neural Networks and Reservoir Computing (4 papers), Model Reduction and Neural Networks (3 papers), Game Theory and Applications (2 papers) and Financial Markets and Investment Strategies (2 papers). The work is most often cited by research in Communication (195 citations), Statistical and Nonlinear Physics (253 citations), Linguistics and Language (22 citations), Sociology and Political Science (145 citations) and Transportation (19 citations). J. Borondo has collaborated with scholars based in Spain, Chile and Japan. Frequent co-authors include Juan Carlos Losada, R. M. Benito, Alfredo J. Morales, F. Borondo, Carlos Rodríguez‐Sickert, César A. Hidalgo, Antonio Saá-Requejo, Ana M. Tarquís and Francisco Prieto‐Castrillo. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Physical review. E and Networks and Heterogeneous Media.
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.