Raymond Ptucha

1.7k total citations
76 papers, 1.1k citations indexed

About

Raymond Ptucha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Raymond Ptucha has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 9 papers in Social Psychology. Recurrent topics in Raymond Ptucha's work include Face and Expression Recognition (12 papers), Human Pose and Action Recognition (9 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Raymond Ptucha is often cited by papers focused on Face and Expression Recognition (12 papers), Human Pose and Action Recognition (9 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Raymond Ptucha collaborates with scholars based in United States, Russia and China. Raymond Ptucha's co-authors include Andreas Savakis, Shagan Sah, Felipe Petroski Such, Matthew Wright, Andrea Hickerson, Eli Saber, Panos P. Markopoulos, Murtadha D. Hssayeni, Emily Prud’hommeaux and Grigorios Tsagkatakis and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Journal of Medical Internet Research.

In The Last Decade

Raymond Ptucha

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond Ptucha United States 18 624 333 143 141 101 76 1.1k
Andreas Savakis United States 17 931 1.5× 274 0.8× 196 1.4× 92 0.7× 91 0.9× 135 1.3k
Yue Ming China 17 731 1.2× 225 0.7× 133 0.9× 143 1.0× 74 0.7× 97 1.1k
Vineeth N Balasubramanian India 23 870 1.4× 818 2.5× 92 0.6× 115 0.8× 134 1.3× 103 1.7k
Hyeran Byun South Korea 20 861 1.4× 444 1.3× 136 1.0× 141 1.0× 131 1.3× 137 1.6k
Hai Liu China 15 578 0.9× 379 1.1× 94 0.7× 50 0.4× 92 0.9× 30 1.2k
Dimitrios Kosmopoulos Greece 22 579 0.9× 385 1.2× 58 0.4× 113 0.8× 113 1.1× 81 1.2k
Khoa Luu United States 19 1.1k 1.8× 412 1.2× 64 0.4× 259 1.8× 131 1.3× 94 1.7k
Byung Cheol Song South Korea 19 825 1.3× 246 0.7× 149 1.0× 256 1.8× 72 0.7× 147 1.2k
David K. Han United States 22 906 1.5× 292 0.9× 388 2.7× 289 2.0× 138 1.4× 103 1.5k
Bernd Heisele United States 15 1.2k 2.0× 238 0.7× 105 0.7× 263 1.9× 42 0.4× 29 1.5k

Countries citing papers authored by Raymond Ptucha

Since Specialization
Citations

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

Fields of papers citing papers by Raymond Ptucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raymond Ptucha

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Ptucha. A scholar is included among the top collaborators of Raymond Ptucha 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 Raymond Ptucha. Raymond Ptucha 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.
Ptucha, Raymond, et al.. (2021). Directional Graph Networks with Hard Weight Assignments. 7439–7446. 2 indexed citations
2.
Sah, Shagan, et al.. (2021). Deep Learning Methods for Sign Language Translation. ACM Transactions on Accessible Computing. 14(4). 1–30. 29 indexed citations
3.
Ptucha, Raymond, et al.. (2020). YOLOrs: Object Detection in Multimodal Remote Sensing Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 1497–1508. 117 indexed citations
4.
Ptucha, Raymond, et al.. (2020). Fully Convolutional ASR for Less-Resourced Endangered Languages. 126–130. 7 indexed citations
5.
Homan, Christopher M., et al.. (2020). Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study. Journal of Medical Internet Research. 22(11). e15347–e15347. 10 indexed citations
6.
Hochgraf, Clark, Amlan Ganguly, P Manoj, et al.. (2020). Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling. 1–6. 18 indexed citations
7.
8.
Kuhl, Michael E., et al.. (2020). Risk-Based A*: Simulation Analysis of a Novel Task Assignment and Path Planning Method. 11. 563–571. 1 indexed citations
9.
Hannon, Daniel, Esa M. Rantanen, Ben D. Sawyer, et al.. (2019). A Human Factors Engineering Education Perspective on Data Science, Machine Learning and Automation. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 63(1). 488–492. 12 indexed citations
10.
Sah, Shagan, et al.. (2019). Show, Translate and Tell. 295–299. 2 indexed citations
11.
Ganguly, Amlan, et al.. (2019). Multimodal Localization for Autonomous Agents. Electronic Imaging. 31(7). 451–1.
12.
13.
Ptucha, Raymond, et al.. (2018). Improving ASR Output for Endangered Language Documentation. 187–191. 7 indexed citations
14.
Zhang, Chi, et al.. (2017). Semantic sentence embeddings for paraphrasing and text summarization. 705–709. 11 indexed citations
15.
Sah, Shagan, et al.. (2017). Temporally Steered Gaussian Attention for Video Understanding. 2. 2208–2216. 2 indexed citations
16.
Alm, Cecilia Ovesdotter, et al.. (2016). Generating Clinically Relevant Texts: A Case Study on Life-Changing Events. 85–94. 5 indexed citations
17.
Ptucha, Raymond & Andreas Savakis. (2013). LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification. 854–861. 12 indexed citations
18.
19.
Ptucha, Raymond & Andreas Savakis. (2012). Fusion of static and temporal predictors for unconstrained facial expression recognition. 16. 2597–2600. 3 indexed citations
20.
Ptucha, Raymond, Grigorios Tsagkatakis, & Andreas Savakis. (2011). Manifold based Sparse Representation for robust expression recognition without neutral subtraction. 2136–2143. 34 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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