Jaime Melendez

35 total papers · 1.4k total citations
28 papers, 944 citations indexed

About

Jaime Melendez is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jaime Melendez has authored 28 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Artificial Intelligence. Recurrent topics in Jaime Melendez's work include Image Retrieval and Classification Techniques (11 papers), COVID-19 diagnosis using AI (11 papers) and AI in cancer detection (10 papers). Jaime Melendez is often cited by papers focused on Image Retrieval and Classification Techniques (11 papers), COVID-19 diagnosis using AI (11 papers) and AI in cancer detection (10 papers). Jaime Melendez collaborates with scholars based in Netherlands, Spain and United States. Jaime Melendez's co-authors include Bram van Ginneken, Rick H. H. M. Philipsen, Clara I. Sá‎nchez, Pragnya Maduskar, Domènec Puig, Mohamed Abdel‐Nasser, Bram Platel, Antonio Moreno, Nico Karssemeijer and Helen Ayles and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.

In The Last Decade

Jaime Melendez

28 papers receiving 910 citations

Author Peers

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

Author Last Decade Papers Cites
Jaime Melendez 674 328 233 154 120 28 944
Rick H. H. M. Philipsen 641 1.0× 193 0.6× 144 0.6× 153 1.0× 172 1.4× 19 798
Pu-Xuan Lu 652 1.0× 240 0.7× 149 0.6× 237 1.5× 191 1.6× 42 1.1k
Xin Zhang 429 0.6× 335 1.0× 173 0.7× 98 0.6× 128 1.1× 42 1.1k
Dijia Wu 739 1.1× 350 1.1× 126 0.5× 162 1.1× 42 0.3× 28 989
Sertan Serte 721 1.1× 443 1.4× 262 1.1× 110 0.7× 26 0.2× 36 988
Tahir Hamid 514 0.8× 210 0.6× 118 0.5× 172 1.1× 39 0.3× 48 871
Yazan Qiblawey 748 1.1× 508 1.5× 194 0.8× 142 0.9× 31 0.3× 21 1.1k
Benjamin Q. Huynh 711 1.1× 641 2.0× 141 0.6× 154 1.0× 68 0.6× 20 1.1k
Sunggyun Park 895 1.3× 280 0.9× 173 0.7× 445 2.9× 73 0.6× 12 1.2k
Hui Ma 548 0.8× 294 0.9× 308 1.3× 67 0.4× 28 0.2× 53 968

Countries citing papers authored by Jaime Melendez

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Melendez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaime Melendez

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