Marta Sales‐Pardo
- Statistical and Nonlinear Physics top 0.2%
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Cell Biology top 5%
- Co-authors
- Roger GuimeràLuı́s A. Nunes AmaralAndré A. MoreiraMichael J. StringerDaniel B. StoufferFilippo RadicchiJordi DuchVito Conte
- Topics
- Complex Network Analysis Techniques (21 papers)Bioinformatics and Genomic Networks (14 papers)scientometrics and bibliometrics research (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyArtificial Intelligence
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Marta Sales‐Pardo
68 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Statistical and Nonlinear Physics 1.7k
- Molecular Biology 1.1k
- Artificial Intelligence 663
- Ecology, Evolution, Behavior and Systematics 335
- Cell Biology 301
Countries citing papers authored by Marta Sales‐Pardo
This map shows the geographic impact of Marta Sales‐Pardo'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 Marta Sales‐Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Sales‐Pardo more than expected).
Fields of papers citing papers by Marta Sales‐Pardo
This network shows the impact of papers produced by Marta Sales‐Pardo. 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 Marta Sales‐Pardo. The network helps show where Marta Sales‐Pardo may publish in the future.
Co-authorship network of co-authors of Marta Sales‐Pardo
This figure shows the co-authorship network connecting the top 25 collaborators of Marta Sales‐Pardo. A scholar is included among the top collaborators of Marta Sales‐Pardo 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 Marta Sales‐Pardo. Marta Sales‐Pardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 48 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 122 | |
| 12 | 35 | |
| 13 | 104 | |
| 14 | 2 | |
| 15 | The possible role of resource requirements and academic career-choice risk on gender differences in publication rate and impact | 1 |
| 16 | 53 | |
| 17 | 180 | |
| 18 | 117 | |
| 19 | Module identification in bipartite networks with applications to directed networks | 4 |
| 20 | 4 |
About Marta Sales‐Pardo
Marta Sales‐Pardo is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Aging, having authored 70 papers that have together received 4.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Bioinformatics and Genomic Networks (14 papers) and scientometrics and bibliometrics research (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Statistics, Probability and Uncertainty (293 citations) and Artificial Intelligence (663 citations). Marta Sales‐Pardo has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Roger Guimerà, Luı́s A. Nunes Amaral, André A. Moreira, Michael J. Stringer, Daniel B. Stouffer, Filippo Radicchi, Jordi Duch, Vito Conte, Xiao Han T. Zeng and Pere Roca‐Cusachs. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.