Javier Roca‐Pardiñas

1.4k total citations
76 papers, 1.0k citations indexed

About

Javier Roca‐Pardiñas is a scholar working on Environmental Engineering, Statistics and Probability and Geology. According to data from OpenAlex, Javier Roca‐Pardiñas has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 20 papers in Statistics and Probability and 10 papers in Geology. Recurrent topics in Javier Roca‐Pardiñas's work include Statistical Methods and Inference (20 papers), Remote Sensing and LiDAR Applications (15 papers) and 3D Surveying and Cultural Heritage (10 papers). Javier Roca‐Pardiñas is often cited by papers focused on Statistical Methods and Inference (20 papers), Remote Sensing and LiDAR Applications (15 papers) and 3D Surveying and Cultural Heritage (10 papers). Javier Roca‐Pardiñas collaborates with scholars based in Spain, Portugal and United States. Javier Roca‐Pardiñas's co-authors include Celestino Ordóñez, Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Carmén Cadarso-Suárez, Julia Armesto, Henrique Lorenzo, Pedro Arias, Silverio García‐Cortés, Luís Meira‐Machado and Susana Fernández and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Atmospheric Environment and Optics Express.

In The Last Decade

Javier Roca‐Pardiñas

73 papers receiving 978 citations

Peers

Javier Roca‐Pardiñas
Comparison fields: 5 of 153
  • Environmental Engineering 275
  • Geology 258
  • Statistics and Probability 131
  • Artificial Intelligence 126
  • Control and Systems Engineering 116
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Citations per field, relative to Javier Roca‐Pardiñas
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Citations per year, relative to Javier Roca‐Pardiñas
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Countries citing papers authored by Javier Roca‐Pardiñas

Since Specialization
Citations

This map shows the geographic impact of Javier Roca‐Pardiñas'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 Javier Roca‐Pardiñas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Roca‐Pardiñas more than expected).

Fields of papers citing papers by Javier Roca‐Pardiñas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Roca‐Pardiñas. 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 Javier Roca‐Pardiñas. The network helps show where Javier Roca‐Pardiñas may publish in the future.

Co-authorship network of co-authors of Javier Roca‐Pardiñas

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Roca‐Pardiñas. A scholar is included among the top collaborators of Javier Roca‐Pardiñas 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 Javier Roca‐Pardiñas. Javier Roca‐Pardiñas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 1
5 9
6 2
7 5
8 4
9 181
10 5
11 3
12
Flexible quantile regression models: application to the study of the purple sea urchin
1
13 3
14 6
15 18
16 14
17 5
18 19
19 9
20 10

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.

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