Markus Diem
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
- Digital Media Forensic Detection
- Media Technology top 2%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 34
- Image Processing and 3D Reconstruction 22
- Image Retrieval and Classification Techniques 19
- Advanced Image and Video Retrieval Techniques 12
- Currency Recognition and Detection 5
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- Single-cell and spatial transcriptomics 4
- Co-authors
- Robert Sablatnig (33 shared papers)Florian Kleber (26 shared papers)Stefan Fiel (10 shared papers)Angelika Garz (5 shared papers)Basilis Gatos (3 shared papers)Michael J. Reiter (6 shared papers)Michael Dworzak (5 shared papers)Martin Kampel (6 shared papers)
- Journals
- Pattern Recognition (1 paper)Cytometry Part A (1 paper)Lecture notes in computer science (4 papers)Lecture notes in computational vision and biomechanics (1 paper)reposiTUm (TU Wien) (1 paper)
In The Last Decade
Markus Diem
45 papers receiving 749 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 663
- Media Technology 183
- Space and Planetary Science 25
- Artificial Intelligence 177
- Geology 27
Countries citing papers authored by Markus Diem
This map shows the geographic impact of Markus Diem'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 Markus Diem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Diem more than expected).
Fields of papers citing papers by Markus Diem
This network shows the impact of papers produced by Markus Diem. 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 Markus Diem. The network helps show where Markus Diem may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Diem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 177 | |
| 2 | 2017 | 50 | |
| 3 | 2019 | 49 | |
| 4 | 2013 | 46 | |
| 5 | 2011 | 34 | |
| 6 | 2017 | 33 | |
| 7 | 2014 | 32 | |
| 8 | 2009 | 31 | |
| 9 | 2014 | 23 | |
| 10 | 2013 | 22 | |
| 11 | 2010 | 20 | |
| 12 | 2011 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2019 | 16 | |
| 15 | 2010 | 15 | |
| 16 | 2008 | 15 | |
| 17 | 2011 | 14 | |
| 18 | 2010 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2016 | 12 |
About Markus Diem
Markus Diem is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health and Media Technology, having authored 46 papers that have together received 785 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (34 papers), Image Processing and 3D Reconstruction (22 papers), Image Retrieval and Classification Techniques (19 papers), Advanced Image and Video Retrieval Techniques (12 papers), Currency Recognition and Detection (5 papers), Single-cell and spatial transcriptomics (4 papers), Natural Language Processing Techniques (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (663 citations), Media Technology (183 citations), Space and Planetary Science (25 citations), Artificial Intelligence (177 citations) and Geology (27 citations). Markus Diem has collaborated with scholars based in Austria, Germany and Greece. Frequent co-authors include Robert Sablatnig, Florian Kleber, Stefan Fiel, Angelika Garz, Basilis Gatos, Michael J. Reiter, Michael Dworzak, Martin Kampel, Angela Schumich and Stefanie Groeneveld‐Krentz. Their work appears in journals such as Pattern Recognition, Cytometry Part A, Lecture notes in computer science, Lecture notes in computational vision and biomechanics and reposiTUm (TU Wien).
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.