Stephen Rawls

827 citations
16 papers · 537 · h-index 9

Impact in

    • Face recognition and analysis
    • Face and Expression Recognition
    • Handwritten Text Recognition Techniques
    • Video Surveillance and Tracking Methods
    • Generative Adversarial Networks and Image Synthesis
    • Image Processing and 3D Reconstruction
    • Biometric Identification and Security

Papers in

    • Handwritten Text Recognition Techniques 8
    • Multimodal Machine Learning Applications 5
    • Face recognition and analysis 4
    • Face and Expression Recognition 3
    • Advanced Image and Video Retrieval Techniques 2
    • Image Retrieval and Classification Techniques 2
    • Natural Language Processing Techniques 5
    • Domain Adaptation and Few-Shot Learning 2

Stephen Rawls

16 papers receiving 507 citations

Peers

Stephen Rawls
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 484
  • Signal Processing 199
  • Media Technology 29
  • Artificial Intelligence 92
  • Human-Computer Interaction 7
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Heydi Méndez-Vázquez Cuba
Minyoung Kim South Korea
Songcan Chen China
Rajkiran Gottumukkal United States
Amirhossein Habibian Netherlands
Enrique Argones Rúa Spain
Muhammad Usman Shahid Sweden
K. Jonsson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Rawls

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Rawls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Rawls, 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 Stephen Rawls Line = papers co-authored together Stephen Rawls links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2016193
2 2016112
3 201882
4 201730
5 201625
6 201723
7 202018
8 201917
9 201713
10 20236
11 20235
12 20184
13 20173
14 20163
15 20102
16 20231

About Stephen Rawls

Stephen Rawls is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Management Science and Operations Research, having authored 16 papers that have together received 537 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (8 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (5 papers), Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (484 citations), Signal Processing (199 citations), Media Technology (29 citations), Artificial Intelligence (92 citations) and Human-Computer Interaction (7 citations). Stephen Rawls has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Prem Natarajan, Iacopo Masi, Gérard G. Medioni, Yue Wu, Wael AbdAlmageed, Tal Hassner, Shai Har-El, Ram Nevatia, Jongmoo Choi and Ekraam Sabir. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and IRIS Research product catalog (Sapienza University of Rome).

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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