Frank R. Schmidt

27 total papers · 1.0k total citations
14 papers, 346 citations indexed

About

Frank R. Schmidt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Frank R. Schmidt has authored 14 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in Frank R. Schmidt's work include Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Frank R. Schmidt is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Frank R. Schmidt collaborates with scholars based in Germany, United States and Canada. Frank R. Schmidt's co-authors include Daniel Cremers, J. Zico Kolter, Thomas Brox, Eric Wong, Jan Hendrik Metzen, Yuri Boykov, Lena Gorelick, Juncheng Li, Constantin Anastasopoulos and Olga Veksler and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Lecture notes in computer science and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Frank R. Schmidt

14 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Frank R. Schmidt	241	132	30	22	21	14	346
Russ R. Salakhutdinov	152 0.6×	216 1.6×	23 0.8×	17 0.8×	20 1.0×	16	342
Cheng Tai	194 0.8×	128 1.0×	40 1.3×	12 0.5×	15 0.7×	11	352
Justin Domke	158 0.7×	128 1.0×	25 0.8×	10 0.5×	35 1.7×	24	306
Benteng Ma	110 0.5×	181 1.4×	9 0.3×	19 0.9×	16 0.8×	19	314
J.A. Vlontzos	291 1.2×	71 0.5×	28 0.9×	48 2.2×	23 1.1×	11	382
Morton Nadler	172 0.7×	108 0.8×	11 0.4×	17 0.8×	11 0.5×	13	335
S. Y. Lu	159 0.7×	134 1.0×	23 0.8×	5 0.2×	8 0.4×	18	326
Guangyao Chen	136 0.6×	231 1.8×	10 0.3×	24 1.1×	26 1.2×	10	377
Shangqian Gao	272 1.1×	217 1.6×	21 0.7×	8 0.4×	8 0.4×	24	374
Guangming Lu	192 0.8×	101 0.8×	13 0.4×	33 1.5×	8 0.4×	17	348

Countries citing papers authored by Frank R. Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Frank R. Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank R. Schmidt. 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 Frank R. Schmidt. The network helps show where Frank R. Schmidt may publish in the future.

Co-authorship network of co-authors of Frank R. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Frank R. Schmidt. A scholar is included among the top collaborators of Frank R. Schmidt 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 Frank R. Schmidt. Frank R. Schmidt 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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