Cody Simons

468 citations
3 papers · 315 · 1 hit paper · h-index 2

Impact in

    • Digital Media Forensic Detection
    • Generative Adversarial Networks and Image Synthesis
    • Advanced Steganography and Watermarking Techniques
    • Advanced Image Processing Techniques
    • Image Processing Techniques and Applications

Papers in

    • Advanced Image and Video Retrieval Techniques 2
    • Multimodal Machine Learning Applications 1
    • Advanced Steganography and Watermarking Techniques 1
    • Digital Media Forensic Detection 1
    • Advanced Neural Network Applications 1
    • Domain Adaptation and Few-Shot Learning 1

Cody Simons

3 papers receiving 300 citations

Cody Simons's Hit Papers

Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries 2019 · 312 citations
3120+2+4Years since publication100200300

Peers

Cody Simons
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 279
  • Media Technology 98
  • Biophysics 38
  • Law 30
  • Artificial Intelligence 64
Replace Zenan Shi with:
Zenan Shi China
Xinru Chen China
Thanh Hai Thai France
Sushila Maheshkar India
Beste Üstübioğlu Türkiye
Hae-Yeoun Lee South Korea
Hailing Huang China
Junlin Ouyang China
Seung-Min Mun South Korea
Yinlong Qian United States
Cody Simons relative to Zenan Shi China Zenan Shi's profile →
Citations per field
00.5×1.5×2.2×
Zenan Shi · 1×
Citations per year

Countries citing papers authored by Cody Simons

Since Specialization
Citations

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

Fields of papers citing papers by Cody Simons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Cody Simons, 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 Cody Simons Line = papers co-authored together Cody Simons links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1
Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries
Hit paper breakdown →
2019312
2 20232
3 20181

About Cody Simons

Cody Simons is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering and Infectious Diseases, having authored 3 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (1 paper), Robotics and Sensor-Based Localization (1 paper), Advanced Steganography and Watermarking Techniques (1 paper), Digital Media Forensic Detection (1 paper), Image Processing Techniques and Applications (1 paper), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Media Technology (98 citations), Biophysics (38 citations), Law (30 citations) and Artificial Intelligence (64 citations). Cody Simons has collaborated with scholars based in United States. Frequent co-authors include Amit K. Roy–Chowdhury, B.S. Manjunath, Jawadul H. Bappy, Lakshmanan Nataraj, Suya You, Niluthpol Chowdhury Mithun and Konstantinos Karydis. Their work appears in journals such as IEEE Transactions on Image Processing.

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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