David Tellez

18 total papers · 4.5k total citations
9 papers, 579 citations indexed

About

David Tellez is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Tellez has authored 9 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Tellez's work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cell Image Analysis Techniques (2 papers). David Tellez is often cited by papers focused on AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cell Image Analysis Techniques (2 papers). David Tellez collaborates with scholars based in Netherlands, Sweden and United States. David Tellez's co-authors include Francesco Ciompi, Jeroen van der Laak, Geert Litjens, John‐Melle Bokhorst, Wouter Bulten, Péter Bándi, Maschenka Balkenhol, Peter Bult, Willem Vreuls and P C Clahsen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and Laboratory Investigation.

In The Last Decade

David Tellez

9 papers receiving 567 citations

Hit Papers

Quantifying the effects o... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
David Tellez 469 305 240 91 83 9 579
Oscar Geessink 422 0.9× 316 1.0× 194 0.8× 131 1.4× 102 1.2× 7 558
Wei Yang 397 0.8× 283 0.9× 177 0.7× 75 0.8× 58 0.7× 17 536
Monjoy Saha 369 0.8× 267 0.9× 171 0.7× 72 0.8× 91 1.1× 18 553
Chetan L. Srinidhi 350 0.7× 362 1.2× 263 1.1× 74 0.8× 61 0.7× 6 591
John‐Melle Bokhorst 394 0.8× 278 0.9× 198 0.8× 186 2.0× 73 0.9× 22 598
Andrew Zhang 323 0.7× 254 0.8× 111 0.5× 79 0.9× 65 0.8× 6 555
Esther Abels 311 0.7× 224 0.7× 76 0.3× 88 1.0× 103 1.2× 12 575
Kunal Nagpal 342 0.7× 257 0.8× 108 0.5× 97 1.1× 52 0.6× 10 589
Nikolas Stathonikos 500 1.1× 321 1.1× 162 0.7× 123 1.4× 108 1.3× 32 673
Lichao Wang 389 0.8× 232 0.8× 243 1.0× 81 0.9× 177 2.1× 9 684

Countries citing papers authored by David Tellez

Since Specialization
Citations

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

Fields of papers citing papers by David Tellez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Tellez

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