Mario Pechwitz
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Media Technology top 2%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 6
- Image Processing and 3D Reconstruction 2
- Image Retrieval and Classification Techniques 1
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- Natural Language Processing Techniques 4
- Text and Document Classification Technologies 2
- Co-authors
- Volker Märgner (4 shared papers)Samia Snoussi Maddouri (1 shared paper)Noureddine Ellouze (1 shared paper)Hamid Amiri (1 shared paper)Haikal El Abed (2 shared papers)
- Journals
- HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
In The Last Decade
Mario Pechwitz
6 papers receiving 615 citations
Peers
Comparison fields: 5 of 22
- Computer Vision and Pattern Recognition 671
- Media Technology 203
- Human-Computer Interaction 83
- Artificial Intelligence 399
- Signal Processing 19
Countries citing papers authored by Mario Pechwitz
This map shows the geographic impact of Mario Pechwitz'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 Mario Pechwitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Pechwitz more than expected).
Fields of papers citing papers by Mario Pechwitz
This network shows the impact of papers produced by Mario Pechwitz. 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 Mario Pechwitz. The network helps show where Mario Pechwitz may publish in the future.
Co-authors
The 5 scholars most cited alongside Mario Pechwitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | IFN/ENIT: database of handwritten arabic words | 2002 | 326 |
| 2 | 2005 | 148 | |
| 3 | 2005 | 116 | |
| 4 | 2003 | 68 | |
| 5 | 2002 | 23 | |
| 6 | Comparison of Two Different Feature Sets for Offline Recognition of Handwritten Arabic Words | 2006 | 16 |
About Mario Pechwitz
Mario Pechwitz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Media Technology and Human-Computer Interaction, having authored 6 papers that have together received 697 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Natural Language Processing Techniques (4 papers), Image Processing and 3D Reconstruction (2 papers), Text and Document Classification Technologies (2 papers), Vehicle License Plate Recognition (1 paper), Hand Gesture Recognition Systems (1 paper), Mathematics, Computing, and Information Processing (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (671 citations), Media Technology (203 citations), Human-Computer Interaction (83 citations), Artificial Intelligence (399 citations) and Signal Processing (19 citations). Mario Pechwitz has collaborated with scholars based in Germany and China. Frequent co-authors include Volker Märgner, Samia Snoussi Maddouri, Noureddine Ellouze, Hamid Amiri and Haikal El Abed. Their work appears in journals such as HAL (Le Centre pour la Communication Scientifique Directe).
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.