Chris Tensmeyer

12 papers and 236 indexed citations i.

About

Chris Tensmeyer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Social Sciences. According to data from OpenAlex, Chris Tensmeyer has authored 12 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in General Social Sciences. Recurrent topics in Chris Tensmeyer’s work include Handwritten Text Recognition Techniques (9 papers), Image Processing and 3D Reconstruction (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Chris Tensmeyer is often cited by papers focused on Handwritten Text Recognition Techniques (9 papers), Image Processing and 3D Reconstruction (4 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Chris Tensmeyer collaborates with scholars based in United States, Mexico and United Kingdom. Chris Tensmeyer's co-authors include Tony Martinez, Tong Sun, Tong Yu, Jiuxiang Gu, Jinhui Xu, Ruiyi Zhang, Yufan Zhou, Changyou Chen, Chunyuan Li and Daniel J. Saunders and has published in prestigious journals such as Pattern Recognition, SN Computer Science and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Chris Tensmeyer i

Fields of papers citing papers by Chris Tensmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chris Tensmeyer

Since Specialization
Citations

This map shows the geographic impact of Chris Tensmeyer'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 Chris Tensmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Tensmeyer 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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2025