María Díaz

34 total papers · 570 total citations
26 papers, 382 citations indexed

About

María Díaz is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, María Díaz has authored 26 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Media Technology, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Atmospheric Science. Recurrent topics in María Díaz's work include Remote-Sensing Image Classification (20 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Data Compression Techniques (8 papers). María Díaz is often cited by papers focused on Remote-Sensing Image Classification (20 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Data Compression Techniques (8 papers). María Díaz collaborates with scholars based in Spain, Belgium and Poland. María Díaz's co-authors include Raúl Guerra, Sebastián López, Roberto Sarmiento, José F. López, Jesús Barba, Lucana Santos, Gustavo M. Callicó, Samuel Ortega, Himar Fabelo and Soledad Escolar and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

María Díaz

25 papers receiving 375 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
María Díaz 187 140 68 61 53 26 382
Jianxin Jia 219 1.2× 74 0.5× 90 1.3× 70 1.1× 82 1.5× 35 443
Jinhui Lan 122 0.7× 80 0.6× 34 0.5× 91 1.5× 90 1.7× 33 421
Manoj Kumar Singh 127 0.7× 86 0.6× 39 0.6× 32 0.5× 65 1.2× 39 389
Shuo Zhuang 68 0.4× 116 0.8× 78 1.1× 97 1.6× 21 0.4× 25 386
Michał Myller 260 1.4× 137 1.0× 45 0.7× 73 1.2× 111 2.1× 16 424
Yuchen Zheng 97 0.5× 163 1.2× 33 0.5× 43 0.7× 51 1.0× 31 386
N.H. Younan 248 1.3× 178 1.3× 29 0.4× 55 0.9× 35 0.7× 29 401
Bryan Chou 205 1.1× 248 1.8× 79 1.2× 34 0.6× 34 0.6× 31 423
Cheng Zhang 173 0.9× 188 1.3× 67 1.0× 30 0.5× 30 0.6× 21 428
Mohammed Ouali 107 0.6× 76 0.5× 23 0.3× 26 0.4× 63 1.2× 25 376

Countries citing papers authored by María Díaz

Since Specialization
Citations

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

Fields of papers citing papers by María Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Díaz. 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 María Díaz. The network helps show where María Díaz may publish in the future.

Co-authorship network of co-authors of María Díaz

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

All Works

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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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