John R. Smith

118 papers and 2.6k indexed citations i.

About

John R. Smith is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, John R. Smith has authored 118 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Computer Vision and Pattern Recognition, 30 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in John R. Smith’s work include Video Analysis and Summarization (61 papers), Advanced Image and Video Retrieval Techniques (56 papers) and Image Retrieval and Classification Techniques (47 papers). John R. Smith is often cited by papers focused on Video Analysis and Summarization (61 papers), Advanced Image and Video Retrieval Techniques (56 papers) and Image Retrieval and Classification Techniques (47 papers). John R. Smith collaborates with scholars based in United States, Japan and Australia. John R. Smith's co-authors include Shih‐Fu Chang, Chung‐Sheng Li, Liangliang Cao, Apostol Natsev, Shiyu Chang, Thomas S. Huang, Feng Liang, Zhen Li, Ching‐Yung Lin and Belle L. Tseng and has published in prestigious journals such as Water Research, Water Resources Research and Proceedings of the IEEE.

In The Last Decade

Co-authorship network of co-authors of John R. Smith i

Fields of papers citing papers by John R. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John R. Smith

Since Specialization
Citations

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

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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