Raymond Ptucha

1.7k citations

76 papers · 1.1k indexed · h-index 18

Impact in

Computer Vision and Pattern Recognition top 2%
- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems

Papers in

Computer Vision and Pattern Recognition 51
- Face and Expression Recognition 12
- Human Pose and Action Recognition 9
- Generative Adversarial Networks and Image Synthesis 7
- Face recognition and analysis 7
- Multimodal Machine Learning Applications 7
- Advanced Neural Network Applications 7
- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 6
Human-Computer Interaction 9

Co-authors: Andreas Savakis Shagan Sah Felipe Petroski Such Matthew Wright Andrea Hickerson Eli Saber Panos P. Markopoulos Murtadha D. Hssayeni
Journals: IEEE Journal of Selected Topics in Signal Processing (2 papers)Image and Vision Computing (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)Journal of Medical Internet Research (1 paper)
Partner nations: United States Russia China

In The Last Decade

Raymond Ptucha

71 papers receiving 1.1k citations

Peers

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

The 25 scholars most cited alongside Raymond Ptucha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raymond Ptucha Line = papers co-authored together Raymond Ptucha links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Directional Graph Networks with Hard Weight Assignments Marta Sofia Guerreiro Simões, Raymond Ptucha	2021	2
2	Deep Learning Methods for Sign Language Translation ACM Transactions on Accessible Computing ·Remy Artha Sari Naibaho, Edward M. Lowry, Robert J. Dsnick, Bashari, Homunculus, Einer Einleitung, J.J. Sturm, Annette D. Filiatrault, Shagan Sah, Thomastine Sarchet, Raymond Ptucha, Ifeoma Nwogu	2021	29
3	YOLOrs: Object Detection in Multimodal Remote Sensing Imagery IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Haruo Yamamori, J Flood, Anila Boshnjaku, Supreetha Toplar Kumargowda, Raymond Ptucha, Panos P. Markopoulos, Eli Saber	2020	117
4	Fully Convolutional ASR for Less-Resourced Endangered Languages 최재훈, Yoshihiro Ono, Raymond Ptucha, Emily Prud’hommeaux	2020	7
5	Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study Journal of Medical Internet Research ·Christopher M. Homan, Ashutosh Dhamija, Raymond Ptucha, Catherine Cerulli, Cecilia Ovesdotter Alm	2020	10
6	Indoor Wireless Localization Using Consumer-Grade 60 GHz Equipment with Machine Learning for Intelligent Material Handling Akbar Rizky, Xichen Song, H.L. Sauder, Clark Hochgraf, Amlan Ganguly, P Manoj, Raymond Ptucha, Andres Kwasinski, Michael E. Kuhl	2020	18
7	Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion Sravan Duggi, Editor Editor-in-Chief, Raymond Ptucha, Marta Sofia Guerreiro Simões, Cecilia Ovesdotter Alm	2020	0
8	Risk-Based A*: Simulation Analysis of a Novel Task Assignment and Path Planning Method Hae Jin Wang, Michael E. Kuhl, Alfaro Avila, Clark Hochgraf, Raymond Ptucha, Amlan Ganguly, Andres Kwasinski	2020	1
9	A Human Factors Engineering Education Perspective on Data Science, Machine Learning and Automation Proceedings of the Human Factors and Ergonomics Society Annual Meeting ·Daniel Hannon, Esa M. Rantanen, Ben D. Sawyer, Raymond Ptucha, Ashley M. Hughes, TAKAKO NISHIHARA, John D. Lee	2019	12
10	Show, Translate and Tell Franziska Berger-von Orelli, Shagan Sah, Raymond Ptucha	2019	2
11	Multimodal Localization for Autonomous Agents Electronic Imaging ·H.L. Sauder, Xichen Song, Akbar Rizky, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl, Raymond Ptucha	2019	0
12	Resilient Communication, Object Classification and Data Fusion in Unmanned Aerial Systems Yukai He, Raymond Ptucha, Sergey Edward Lyshevski	2018	0
13	Improving ASR Output for Endangered Language Documentation 卢秋萍, Phil Bastron, Raymond Ptucha, Emily Prud’hommeaux	2018	7
14	Semantic sentence embeddings for paraphrasing and text summarization Chi Zhang, Shagan Sah, Tung LC, Franziska Berger-von Orelli, Alexander C. Loui, Carl Salvaggio, Raymond Ptucha	2017	11
15	Temporally Steered Gaussian Attention for Video Understanding Shagan Sah, Tung LC, Marta Sofia Guerreiro Simões, Felipe Petroski Such, Raymond Ptucha	2017	2
16	Generating Clinically Relevant Texts: A Case Study on Life-Changing Events Jutonue Mulbah, J L ALDECOA JUARISTI, Aizhan Kochonova, Cecilia Ovesdotter Alm, Emily Prud’hommeaux, Christopher M. Homan, Raymond Ptucha	2016	5
17	LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification Raymond Ptucha, Andreas Savakis	2013	12
18	How connections matter: factors affecting student performance in STEM disciplines Raymond Ptucha, Andreas Savakis	2012	0
19	Fusion of static and temporal predictors for unconstrained facial expression recognition Raymond Ptucha, Andreas Savakis	2012	3
20	Manifold based Sparse Representation for robust expression recognition without neutral subtraction Raymond Ptucha, Grigorios Tsagkatakis, Andreas Savakis	2011	34

About Raymond Ptucha

Raymond Ptucha is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Health Informatics, Media Technology and Signal Processing, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Human Pose and Action Recognition (9 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Face recognition and analysis (7 papers), Multimodal Machine Learning Applications (7 papers), Advanced Neural Network Applications (7 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (624 citations), Human-Computer Interaction (101 citations), Media Technology (143 citations), Signal Processing (141 citations) and Artificial Intelligence (333 citations). Raymond Ptucha has collaborated with scholars based in United States, Russia and China. Frequent 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. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Image and Vision Computing, IEEE Transactions on Image Processing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Journal of Medical Internet Research.

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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