Patrice Y. Simard

20 total papers · 1.6k total citations
13 papers, 536 citations indexed

About

Patrice Y. Simard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Patrice Y. Simard has authored 13 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Patrice Y. Simard's work include Neural Networks and Applications (5 papers), Image Retrieval and Classification Techniques (4 papers) and Handwritten Text Recognition Techniques (3 papers). Patrice Y. Simard is often cited by papers focused on Neural Networks and Applications (5 papers), Image Retrieval and Classification Techniques (4 papers) and Handwritten Text Recognition Techniques (3 papers). Patrice Y. Simard collaborates with scholars based in United States, United Kingdom and Canada. Patrice Y. Simard's co-authors include Kumar Chellapilla, Trevor Hastie, Kevin Larson, Mary Czerwinski, Bernard Victorri, John S. Denker, Yann LeCun, Barak A. Pearlmutter, G.E. Mailloux and Hans Peter Graf and has published in prestigious journals such as Statistical Science, International Journal of Imaging Systems and Technology and Computer Vision Graphics and Image Processing.

In The Last Decade

Patrice Y. Simard

12 papers receiving 475 citations

Author Peers

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

Author						Papers	Cites
Patrice Y. Simard	259	252	207	166	35	13	536
LinChih-Jen	191 0.7×	71 0.3×	60 0.3×	287 1.7×	9 0.3×	10	518
Yihong Gong	400 1.5×	142 0.6×	47 0.2×	130 0.8×	11 0.3×	18	578
Shengjie Luo	260 1.0×	53 0.2×	46 0.2×	147 0.9×	26 0.7×	24	588
Dara Bahri	205 0.8×	61 0.2×	62 0.3×	339 2.0×	11 0.3×	15	612
Gökhan Bakır	372 1.4×	52 0.2×	67 0.3×	286 1.7×	38 1.1×	14	582
Suhrid Balakrishnan	84 0.3×	260 1.0×	200 1.0×	228 1.4×	44 1.3×	18	551
Stephen Ingram	303 1.2×	67 0.3×	61 0.3×	130 0.8×	13 0.4×	12	477
Shuangfei Zhai	278 1.1×	66 0.3×	49 0.2×	308 1.9×	5 0.1×	16	571
Haiping Yu	221 0.9×	178 0.7×	16 0.1×	194 1.2×	19 0.5×	14	483
Xiongnan Jin	259 1.0×	110 0.4×	34 0.2×	160 1.0×	14 0.4×	29	496

Countries citing papers authored by Patrice Y. Simard

Since Specialization

Citations

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

Fields of papers citing papers by Patrice Y. Simard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrice Y. Simard. 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 Patrice Y. Simard. The network helps show where Patrice Y. Simard may publish in the future.

Co-authorship network of co-authors of Patrice Y. Simard

This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Y. Simard. A scholar is included among the top collaborators of Patrice Y. Simard 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 Patrice Y. Simard. Patrice Y. Simard 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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