David Doermann

15.8k citations
263 papers · 9.5k · 5 hit papers · h-index 47

Impact in

    • Handwritten Text Recognition Techniques
    • Advanced Image and Video Retrieval Techniques
    • Image Retrieval and Classification Techniques
    • Image and Video Quality Assessment
    • Video Analysis and Summarization
    • Image Processing and 3D Reconstruction
    • Vehicle License Plate Recognition
    • Advanced Image Fusion Techniques

Papers in

    • Handwritten Text Recognition Techniques 97
    • Image Retrieval and Classification Techniques 67
    • Advanced Image and Video Retrieval Techniques 63
    • Image Processing and 3D Reconstruction 42
    • Video Analysis and Summarization 40
    • Image and Object Detection Techniques 22
    • Advanced Neural Network Applications 21
    • Natural Language Processing Techniques 20

David Doermann

252 papers receiving 8.9k citations

David Doermann's Hit Papers

Future of software development with generative AI 2024 · 52 citations
520+4+8Years since publication250500750

Peers

David Doermann
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 8.2k
  • Media Technology 2.4k
  • Signal Processing 677
  • Artificial Intelligence 2.0k
  • Human-Computer Interaction 220
Replace Zheng-Jun Zha with:
Zheng-Jun Zha China
Qi Tian China
Svetlana Lazebnik United States
Florent Perronnin France
Alberto Del Bimbo Italy
Yong Rui China
Siwei Lyu United States
Xian‐Sheng Hua China
Ran He China
Wen Gao China
David Doermann relative to Zheng-Jun Zha China Zheng-Jun Zha's profile →
Citations per field
00.5×1.6×
Zheng-Jun Zha · 1×
Citations per year

Countries citing papers authored by David Doermann

Since Specialization
Citations

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

Fields of papers citing papers by David Doermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Convolutional Neural Networks for No-Reference Image Quality Assessment
Hit paper breakdown →
2014857
2
Text Detection and Recognition in Imagery: A Survey
Hit paper breakdown →
2014521
3 2000402
4
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Hit paper breakdown →
2019367
5
Blind Image Quality Assessment Based on High Order Statistics Aggregation
Hit paper breakdown →
2016362
6 2005275
7 2019266
8 2006226
9 2012203
10 1998193
11 1998170
12 2008152
13 2004144
14 2004137
15 2002126
16 2007123
17 2015115
18 2008107
19 200397
20 201994

About David Doermann

David Doermann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Information Systems, having authored 263 papers that have together received 9.5k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (97 papers), Image Retrieval and Classification Techniques (67 papers), Advanced Image and Video Retrieval Techniques (63 papers), Image Processing and 3D Reconstruction (42 papers), Video Analysis and Summarization (40 papers), Image and Object Detection Techniques (22 papers), Advanced Neural Network Applications (21 papers) and Natural Language Processing Techniques (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.2k citations), Media Technology (2.4k citations), Signal Processing (677 citations), Artificial Intelligence (2.0k citations) and Human-Computer Interaction (220 citations). David Doermann has collaborated with scholars based in United States, China and India. Frequent co-authors include Peng Ye, Le Kang, Huiping Li, Qixiang Ye, Yi Li, Daniel DeMenthon, Yefeng Zheng, Jian Liang, Peng Ye and Omid E. Kia. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal on Document Analysis and Recognition (IJDAR), International Journal of Computer Vision, IEEE Transactions on Image Processing and Computer Vision and Image Understanding.

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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