Samuel Dodge

1.3k total citations
9 papers, 623 citations indexed

About

Samuel Dodge is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering. According to data from OpenAlex, Samuel Dodge has authored 9 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Samuel Dodge's work include Image Processing Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Gaze Tracking and Assistive Technology (2 papers). Samuel Dodge is often cited by papers focused on Image Processing Techniques and Applications (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Gaze Tracking and Assistive Technology (2 papers). Samuel Dodge collaborates with scholars based in United States, Hong Kong and India. Samuel Dodge's co-authors include Lina J. Karam, David Eigen, Hongyang Li, Xiaogang Wang, Matthew D. Zeiler, Jiu Xu, Björn Stenger, Nital S. Patel and Martin Braun and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Semiconductor Manufacturing and ACM Transactions on Applied Perception.

In The Last Decade

Samuel Dodge

8 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Dodge United States	7	380	286	71	70	48	9	623
Wonmin Byeon United States	11	652 1.7×	322 1.1×	82 1.2×	44 0.6×	47 1.0×	22	963
Pengfei Xu China	16	678 1.8×	366 1.3×	45 0.6×	42 0.6×	76 1.6×	53	901
Lorenzo Porzi Italy	17	559 1.5×	250 0.9×	41 0.6×	19 0.3×	50 1.0×	32	850
Shoubhik Debnath United States	5	320 0.8×	147 0.5×	70 1.0×	32 0.5×	80 1.7×	9	699
Renrui Zhang China	10	453 1.2×	312 1.1×	50 0.7×	22 0.3×	45 0.9×	18	732
Gedas Bertasius United States	14	823 2.2×	261 0.9×	46 0.6×	50 0.7×	110 2.3×	35	1.0k
Hongyang Li China	14	806 2.1×	374 1.3×	79 1.1×	40 0.6×	90 1.9×	25	1.0k
Xianxu Hou China	16	646 1.7×	297 1.0×	102 1.4×	61 0.9×	108 2.3×	38	959
Zhuang Liu China	7	278 0.7×	183 0.6×	68 1.0×	37 0.5×	71 1.5×	21	673
Artem Rozantsev Switzerland	5	376 1.0×	255 0.9×	44 0.6×	38 0.5×	25 0.5×	5	633

Countries citing papers authored by Samuel Dodge

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Dodge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Dodge

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Dodge, Samuel, et al.. (2020). Locally Adaptive Statistical Background Modeling With Deep Learning-Based False Positive Rejection for Defect Detection in Semiconductor Units. IEEE Transactions on Semiconductor Manufacturing. 33(3). 357–372. 11 indexed citations

2.

Li, Hongyang, David Eigen, Samuel Dodge, Matthew D. Zeiler, & Xiaogang Wang. (2019). Finding Task-Relevant Features for Few-Shot Learning by Category Traversal. The HKU Scholars Hub (University of Hong Kong). 1–10. 242 indexed citations

3.

Dodge, Samuel & Lina J. Karam. (2019). Human and DNN Classification Performance on Images With Quality Distortions. ACM Transactions on Applied Perception. 16(2). 1–17. 25 indexed citations

4.

Dodge, Samuel, et al.. (2018). Unconstrained ear recognition using deep neural networks. IET Biometrics. 7(3). 207–214. 59 indexed citations

5.

Dodge, Samuel & Lina J. Karam. (2018). Quality Robust Mixtures of Deep Neural Networks. IEEE Transactions on Image Processing. 27(11). 5553–5562. 22 indexed citations

6.

Dodge, Samuel, Jiu Xu, & Björn Stenger. (2017). Parsing floor plan images. 358–361. 73 indexed citations

7.

Dodge, Samuel & Lina J. Karam. (2017). A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions. 1–7. 189 indexed citations

8.

Dodge, Samuel, et al.. (2016). Visual attention quality database for benchmarking performance evaluation metrics. 19. 2792–2796.

9.

Dodge, Samuel & Lina J. Karam. (2012). Attentive gesture recognition. 177–180. 2 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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