Devin Guillory

403 total citations
4 papers, 113 citations indexed

About

Devin Guillory is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Devin Guillory has authored 4 papers receiving a total of 113 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Devin Guillory's work include Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). Devin Guillory is often cited by papers focused on Human Pose and Action Recognition (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). Devin Guillory collaborates with scholars based in United States, Japan and Argentina. Devin Guillory's co-authors include Kevin Tang, Silvio Savarese, David Held, Brice Rebsamen, Sebastian Thrun, Trevor Darrell, Bo Li, Shanghang Zhang, Colorado Reed and Sayna Ebrahimi and has published in prestigious journals such as 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Devin Guillory

4 papers receiving 109 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Devin Guillory United States	4	76	43	14	14	11	4	113
Yuanfeng Ji China	5	161 2.1×	51 1.2×	41 2.9×	8 0.6×	8 0.7×	6	210
Amirreza Shaban United States	5	53 0.7×	23 0.5×	11 0.8×	12 0.9×	5 0.5×	9	80
Jiaxiang Shang China	3	78 1.0×	35 0.8×	23 1.6×	13 0.9×	14 1.3×	6	114
Xueyan Zou United States	3	118 1.6×	57 1.3×	8 0.6×	11 0.8×	7 0.6×	5	160
Guangliang Cheng United Kingdom	5	74 1.0×	45 1.0×	63 4.5×	9 0.6×	13 1.2×	15	190
Jean-Pierre Cocquerez France	5	51 0.7×	27 0.6×	10 0.7×	6 0.4×	13 1.2×	10	93
Sam Hallman United States	5	143 1.9×	20 0.5×	23 1.6×	20 1.4×	7 0.6×	5	185
Vighnesh Birodkar United States	4	141 1.9×	60 1.4×	8 0.6×	6 0.4×	4 0.4×	4	168
Xinjun Ma China	4	103 1.4×	17 0.4×	21 1.5×	18 1.3×	9 0.8×	4	125
Noel E. O’Connor Ireland	5	207 2.7×	37 0.9×	27 1.9×	10 0.7×	8 0.7×	11	263

Countries citing papers authored by Devin Guillory

Since Specialization

Citations

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

Fields of papers citing papers by Devin Guillory

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devin Guillory

This figure shows the co-authorship network connecting the top 25 collaborators of Devin Guillory. A scholar is included among the top collaborators of Devin Guillory 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 Devin Guillory. Devin Guillory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Reed, Colorado, Xiangyu Yue, Sayna Ebrahimi, et al.. (2022). Self-Supervised Pretraining Improves Self-Supervised Pretraining. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1050–1060. 45 indexed citations

2.

Ghosh, Shalini, et al.. (2022). Disentangled Action Recognition with Knowledge Bases. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 559–572. 5 indexed citations

3.

Held, David, Devin Guillory, Brice Rebsamen, Sebastian Thrun, & Silvio Savarese. (2016). A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues. 33 indexed citations

4.

Tang, Kevin, et al.. (2013). Using Multiple Segmentations to Discover Objects and their Extent in Image Collections. 30 indexed citations

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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