Joan Martı́

84 total papers · 1.4k total citations
43 papers, 798 citations indexed

About

Joan Martı́ is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joan Martı́ has authored 43 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joan Martı́'s work include AI in cancer detection (21 papers), Image Retrieval and Classification Techniques (16 papers) and Medical Image Segmentation Techniques (11 papers). Joan Martı́ is often cited by papers focused on AI in cancer detection (21 papers), Image Retrieval and Classification Techniques (16 papers) and Medical Image Segmentation Techniques (11 papers). Joan Martı́ collaborates with scholars based in Spain, France and United Kingdom. Joan Martı́'s co-authors include Arnau Oliver, Jordi Freixenet, Xavier Lladó, Josep Pont, Erika Denton, Elsa Pérez, Reyer Zwiggelaar, Xavier Muñoz, Robert Martí and Yago Díez and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Joan Martı́

42 papers receiving 747 citations

Author Peers

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

Author Last Decade Papers Cites
Joan Martı́ 532 448 320 142 67 43 798
James Parker 724 1.4× 550 1.2× 319 1.0× 107 0.8× 95 1.4× 29 984
Xiabi Liu 364 0.7× 442 1.0× 379 1.2× 139 1.0× 28 0.4× 69 881
Changmiao Wang 175 0.3× 276 0.6× 221 0.7× 112 0.8× 73 1.1× 65 750
D. Brzaković 382 0.7× 406 0.9× 297 0.9× 233 1.6× 29 0.4× 50 805
Marcello Salmeri 483 0.9× 406 0.9× 218 0.7× 75 0.5× 53 0.8× 74 807
John Arévalo 700 1.3× 366 0.8× 481 1.5× 90 0.6× 53 0.8× 29 1.0k
Hui Cui 348 0.7× 243 0.5× 307 1.0× 92 0.6× 252 3.8× 95 1.0k
Qihang Yu 390 0.7× 592 1.3× 351 1.1× 38 0.3× 36 0.5× 20 947
Ricardo J. Ferrari 396 0.7× 387 0.9× 237 0.7× 132 0.9× 51 0.8× 40 756
Ying Wang 681 1.3× 335 0.7× 447 1.4× 58 0.4× 45 0.7× 59 922

Countries citing papers authored by Joan Martı́

Since Specialization
Citations

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

Fields of papers citing papers by Joan Martı́

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Martı́

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Martı́. A scholar is included among the top collaborators of Joan Martı́ 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 Joan Martı́. Joan Martı́ 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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