A. Lynn Abbott

1.7k total citations
85 papers, 1.0k citations indexed

About

A. Lynn Abbott is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology. According to data from OpenAlex, A. Lynn Abbott has authored 85 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 16 papers in Industrial and Manufacturing Engineering and 14 papers in Media Technology. Recurrent topics in A. Lynn Abbott's work include Advanced Vision and Imaging (17 papers), Industrial Vision Systems and Defect Detection (16 papers) and Image and Object Detection Techniques (13 papers). A. Lynn Abbott is often cited by papers focused on Advanced Vision and Imaging (17 papers), Industrial Vision Systems and Defect Detection (16 papers) and Image and Object Detection Techniques (13 papers). A. Lynn Abbott collaborates with scholars based in United States, China and Türkiye. A. Lynn Abbott's co-authors include Daniel L. Schmoldt, Peter M. Athanas, Narendra Ahuja, Abhijit Sarkar, Pei Li, Zachary R. Doerzaph, Leonidas Guibas, Shuran Song, Xiaolong Li and Yi Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Autism and Developmental Disorders.

In The Last Decade

A. Lynn Abbott

77 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Lynn Abbott United States 17 540 135 127 110 99 85 1.0k
Bogusław Cyganek Poland 18 519 1.0× 133 1.0× 130 1.0× 46 0.4× 67 0.7× 75 1.3k
Hongshan Yu China 19 491 0.9× 82 0.6× 250 2.0× 68 0.6× 89 0.9× 52 1.1k
Weiguo Gong China 20 701 1.3× 356 2.6× 73 0.6× 84 0.8× 55 0.6× 96 1.3k
Fabian Timm Germany 8 690 1.3× 105 0.8× 194 1.5× 80 0.7× 33 0.3× 12 1.2k
Marc Proesmans Belgium 14 756 1.4× 102 0.8× 218 1.7× 77 0.7× 44 0.4× 60 1.2k
Claudius Gläser Germany 10 619 1.1× 84 0.6× 249 2.0× 94 0.9× 38 0.4× 31 1.1k
Baochen Sun United States 6 812 1.5× 100 0.7× 106 0.8× 33 0.3× 86 0.9× 8 1.6k
David W. Capson Canada 14 536 1.0× 133 1.0× 114 0.9× 23 0.2× 48 0.5× 80 877
Gustavo Olague Mexico 20 653 1.2× 62 0.5× 218 1.7× 58 0.5× 33 0.3× 89 1.2k

Countries citing papers authored by A. Lynn Abbott

Since Specialization
Citations

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

Fields of papers citing papers by A. Lynn Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Lynn Abbott. 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 A. Lynn Abbott. The network helps show where A. Lynn Abbott may publish in the future.

Co-authorship network of co-authors of A. Lynn Abbott

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

All Works

20 of 20 papers shown
1.
Deshpande, Yogesh, Surendrabikram Thapa, Abhijit Sarkar, & A. Lynn Abbott. (2023). Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos using an Attention Network. 5975–5984. 4 indexed citations
2.
Li, Xiaolong, Li Yi, Leonidas Guibas, et al.. (2021). Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds. Neural Information Processing Systems. 34. 12 indexed citations
3.
Wieckowski, Andrea Trubanova, Deanna Swain, A. Lynn Abbott, & Susan W. White. (2018). Task Dependency When Evaluating Association Between Facial Emotion Recognition and Facial Emotion Expression in Children with ASD. Journal of Autism and Developmental Disorders. 49(2). 460–467. 6 indexed citations
4.
Kochersberger, Kevin, et al.. (2015). Image-based 3D reconstructions for stockpile volume measurement. Mining Engineering. 67(1). 34–37. 3 indexed citations
5.
Sarkar, Abhijit, A. Lynn Abbott, & Zachary R. Doerzaph. (2015). ECG biometric authentication using a dynamical model. 1–6. 15 indexed citations
6.
Flintsch, Gerardo W., et al.. (2007). Measuring the Uniformity of Hot-Mix Asphalt Pavements with Digital Image Technology. Transportation Research Board 86th Annual MeetingTransportation Research Board. 2 indexed citations
7.
Abbott, A. Lynn, et al.. (2006). Color Face Recognition by Hypercomplex Gabor Analysis. 126–131. 27 indexed citations
8.
Abbott, A. Lynn, et al.. (2002). Moment invariants and quantization effects. 157–163. 8 indexed citations
9.
Abbott, A. Lynn, et al.. (2002). A hierarchical approach to recognition of finished wooden components. 249–251.
10.
11.
Abbott, A. Lynn, et al.. (2002). Active fixation using attentional shifts, affine resampling, and multiresolution search. 15. 1002–1008. 1 indexed citations
12.
Li, Pei, A. Lynn Abbott, & Daniel L. Schmoldt. (2002). Automated analysis of CT images for the inspection of hardwood logs. Proceedings of International Conference on Neural Networks (ICNN'96). 3. 1744–1749. 22 indexed citations
13.
Lee, Sang-Mook, A. Lynn Abbott, & Daniel L. Schmoldt. (2000). Wane detection on rough lumber using surface approximation. International Conference on Image Processing. 5 indexed citations
14.
Abbott, A. Lynn, Daniel L. Schmoldt, & Philip A. Araman. (2000). A next generation processing system for edging and trimming. Indian Journal of Experimental Biology. 33(8). 585–8. 3 indexed citations
15.
16.
Schmoldt, Daniel L., Pei Li, & A. Lynn Abbott. (1995). Log Defect Recognition Using CT-images and Neural Net Classifiers. 6 indexed citations
17.
Reinholtz, Charles F., et al.. (1994). Machine vision calibration for a nuclear steam generator robot. Transactions of the American Nuclear Society. 71. 1 indexed citations
18.
Abbott, A. Lynn, et al.. (1992). <title>Comparison of multiresolution morphological and Laplacian techniques for automated inspection</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1708. 789–800. 1 indexed citations
19.
Abbott, A. Lynn. (1992). A survey of selective fixation control for machine vision. IEEE Control Systems. 12(4). 25–31. 23 indexed citations
20.
Abbott, A. Lynn. (1990). Dynamic integration of depth cues for surface reconstruction from stereo images. 71–4. 12 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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