David Joseph Tan

39 total papers · 803 total citations
17 papers, 342 citations indexed

About

David Joseph Tan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, David Joseph Tan has authored 17 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 6 papers in Aerospace Engineering. Recurrent topics in David Joseph Tan's work include Robotics and Sensor-Based Localization (6 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). David Joseph Tan is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), 3D Shape Modeling and Analysis (6 papers) and Advanced Vision and Imaging (5 papers). David Joseph Tan collaborates with scholars based in Germany, United States and Switzerland. David Joseph Tan's co-authors include Federico Tombari, Nassir Navab, Slobodan Ilić, Yida Wang, Andrew Fitzgibbon, Jamie Shotton, Thomas J. Cashman, Jonathan M. Taylor, Sameh Khamis and Shahram Izadi and has published in prestigious journals such as International Journal of Computer Vision, Medical Image Analysis and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

David Joseph Tan

15 papers receiving 339 citations

Author Peers

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

Author Last Decade Papers Cites
David Joseph Tan 252 99 92 77 67 17 342
Patrick Stotko 245 1.0× 57 0.6× 119 1.3× 78 1.0× 90 1.3× 12 385
Yinyu Nie 195 0.8× 114 1.2× 65 0.7× 34 0.4× 80 1.2× 21 343
Nicola D'Apuzzo 185 0.7× 69 0.7× 38 0.4× 23 0.3× 79 1.2× 26 309
Chavdar Papazov 186 0.7× 43 0.4× 113 1.2× 30 0.4× 51 0.8× 8 296
Kai Berger 250 1.0× 50 0.5× 65 0.7× 27 0.4× 24 0.4× 25 346
Ben Ward 264 1.0× 28 0.3× 118 1.3× 32 0.4× 83 1.2× 16 335
Zhaoxi Chen 174 0.7× 49 0.5× 151 1.6× 38 0.5× 25 0.4× 19 401
Haotong Lin 222 0.9× 74 0.7× 103 1.1× 19 0.2× 39 0.6× 15 325
Vincent Gay‐Bellile 306 1.2× 39 0.4× 230 2.5× 30 0.4× 63 0.9× 25 375
John R. Birk 277 1.1× 27 0.3× 102 1.1× 11 0.1× 30 0.4× 20 390

Countries citing papers authored by David Joseph Tan

Since Specialization
Citations

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

Fields of papers citing papers by David Joseph Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Joseph Tan

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