Ray Smith

23 total papers · 2.6k total citations
13 papers, 1.4k citations indexed

About

Ray Smith is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Archeology. According to data from OpenAlex, Ray Smith has authored 13 papers receiving a total of 1.4k 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 Archeology. Recurrent topics in Ray Smith's work include Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (4 papers) and Natural Language Processing Techniques (4 papers). Ray Smith is often cited by papers focused on Handwritten Text Recognition Techniques (7 papers), Image Processing and 3D Reconstruction (4 papers) and Natural Language Processing Techniques (4 papers). Ray Smith collaborates with scholars based in United States and Germany. Ray Smith's co-authors include Faisal Shafait, Dar-Shyang Lee, Ranjith Unnikrishnan, Donald B. Redford, Zongyi Liu, James W. Hooper and Geoffrey T. Martin and has published in prestigious journals such as The Journal of Egyptian Archaeology, National geographic/˜The œcomplete National geographic/˜The œNational geographic magazine and UWA Profiles and Research Repository (University of Western Australia).

In The Last Decade

Ray Smith

12 papers receiving 1.3k citations

Hit Papers

An Overview of the Tesser... 2007 2026 2013 2019 2007 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Ray Smith 970 345 296 153 97 13 1.4k
Toqeer Mahmood 1.0k 1.1× 382 1.1× 362 1.2× 135 0.9× 72 0.7× 65 1.6k
David J. Wu 901 0.9× 812 2.4× 276 0.9× 173 1.1× 65 0.7× 26 1.8k
Ye Liu 974 1.0× 313 0.9× 116 0.4× 87 0.6× 177 1.8× 19 1.4k
Dhruv Mahajan 1.1k 1.1× 420 1.2× 212 0.7× 67 0.4× 62 0.6× 48 1.5k
Shaveta Dargan 404 0.4× 303 0.9× 70 0.2× 144 0.9× 177 1.8× 10 1.2k
Peng Zhou 1.5k 1.6× 355 1.0× 256 0.9× 41 0.3× 83 0.9× 32 1.7k
Pengcheng Wu 1.1k 1.1× 660 1.9× 141 0.5× 182 1.2× 131 1.4× 41 1.8k
Hai Liu 513 0.5× 329 1.0× 197 0.7× 233 1.5× 35 0.4× 43 1.3k
Haoxiang Wang 641 0.7× 407 1.2× 88 0.3× 246 1.6× 167 1.7× 43 1.5k
Ashish Jaiswal 404 0.4× 521 1.5× 70 0.2× 122 0.8× 76 0.8× 17 1.2k

Countries citing papers authored by Ray Smith

Since Specialization
Citations

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

Fields of papers citing papers by Ray Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ray Smith

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