D. Íñiguez
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Communication top 10%
- Social Media and Politics
Papers in
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- Theoretical and Computational Physics 9
- Physics of Superconductivity and Magnetism 4
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- Complex Network Analysis Techniques 9
- Co-authors
- A. Tarancón (18 shared papers)Alejandro Rivero (8 shared papers)Alfredo Ferrer (6 shared papers)Gonzalo Ruiz Díaz (6 shared papers)Javier Borge‐Holthoefer (1 shared paper)Fermín Serrano (1 shared paper)A. F. Pacheco (2 shared papers)Yamir Moreno (1 shared paper)
In The Last Decade
D. Íñiguez
25 papers receiving 288 citations
Peers
Comparison fields: 5 of 85
- Statistical and Nonlinear Physics 119
- Communication 53
- Condensed Matter Physics 59
- Nuclear and High Energy Physics 53
- Applied Microbiology and Biotechnology 4
Countries citing papers authored by D. Íñiguez
This map shows the geographic impact of D. Íñiguez'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 D. Íñiguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Íñiguez more than expected).
Fields of papers citing papers by D. Íñiguez
This network shows the impact of papers produced by D. Íñiguez. 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 D. Íñiguez. The network helps show where D. Íñiguez may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Íñiguez, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 113 | |
| 2 | 2020 | 20 | |
| 3 | 1993 | 20 | |
| 4 | 1996 | 17 | |
| 5 | 1993 | 17 | |
| 6 | 1993 | 17 | |
| 7 | 2019 | 14 | |
| 8 | 1997 | 9 | |
| 9 | 2018 | 9 | |
| 10 | Inverse Symmetry Breaking on the lattice: an accurate MC study | 2008 | 8 |
| 11 | 2015 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 1992 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 4 | |
| 17 | RRLab: Remote Reality Laboratory to teach mechanics in schools | 2013 | 4 |
| 18 | 1996 | 4 | |
| 19 | 1998 | 3 | |
| 20 | Measurement and analysis of the presence in Facebook and Twitter in the regional television broadcaster’s context in Spain | 2018 | 2 |
About D. Íñiguez
D. Íñiguez is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 300 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (9 papers), Complex Network Analysis Techniques (9 papers), Quantum Chromodynamics and Particle Interactions (6 papers), scientometrics and bibliometrics research (5 papers), Physics of Superconductivity and Magnetism (4 papers), Particle physics theoretical and experimental studies (4 papers), Complex Systems and Time Series Analysis (4 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (119 citations), Communication (53 citations), Condensed Matter Physics (59 citations), Nuclear and High Energy Physics (53 citations) and Applied Microbiology and Biotechnology (4 citations). D. Íñiguez has collaborated with scholars based in Spain, Italy and Germany. Frequent co-authors include A. Tarancón, Alejandro Rivero, Alfredo Ferrer, Gonzalo Ruiz Díaz, Javier Borge‐Holthoefer, Fermín Serrano, A. F. Pacheco, Yamir Moreno, J. J. Ruiz-Lorenzo and Francisco Sanz. Their work appears in journals such as Physics Letters B, Nuclear Physics B, Physical Review Letters, Scientometrics and Empirical Economics.
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.