Markus Diem

1.2k citations
40 papers · 621 · h-index 14

Impact in

Papers in

    • Handwritten Text Recognition Techniques 31
    • Image Processing and 3D Reconstruction 21
    • Image Retrieval and Classification Techniques 17
    • Advanced Image and Video Retrieval Techniques 10
    • Currency Recognition and Detection 4
    • Natural Language Processing Techniques 4

Markus Diem

40 papers receiving 593 citations

Peers

Markus Diem
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 529
  • Space and Planetary Science 22
  • Media Technology 149
  • Human-Computer Interaction 24
  • Geology 23
Replace Florian Kleber with:
Florian Kleber Austria
Christopher Malon United States
Konstantinos Zagoris Greece
Pasquale Ferrara Italy
Maozheng Zhao United States
Nadia Brancati Italy
Zhineng Chen China
Marco Fontani Italy
B.V. Dhandra India
Michael Kohnen Germany
Markus Diem relative to Florian Kleber Austria Florian Kleber's profile →
Citations per field
00.5×1.5×
Florian Kleber · 1×
Citations per year

Countries citing papers authored by Markus Diem

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Markus Diem Line = papers co-authored together Markus Diem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 201943
3 201339
4 201736
5 201430
6 200927
7 201126
8 201725
9 201019
10 201418
11 201317
12 201615
13 201114
14 200814
15 201013
16 201013
17 201612
18 201110
19
Using local features for efficient layout analysis of ancient manuscripts
20119
20 20189

About Markus Diem

Markus Diem is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Public Health, Environmental and Occupational Health, Media Technology and Hematology, having authored 40 papers that have together received 621 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (31 papers), Image Processing and 3D Reconstruction (21 papers), Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (10 papers), Natural Language Processing Techniques (4 papers), Currency Recognition and Detection (4 papers), Acute Myeloid Leukemia Research (3 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (529 citations), Space and Planetary Science (22 citations), Media Technology (149 citations), Human-Computer Interaction (24 citations) and Geology (23 citations). Markus Diem has collaborated with scholars based in Austria, Germany and Greece. Frequent co-authors include Robert Sablatnig, Florian Kleber, Stefan Fiel, Basilis Gatos, Michael J. Reiter, Michael Dworzak, Martin Kampel, Michael Opitz, Stefanie Groeneveld‐Krentz and Angela Schumich. Their work appears in journals such as Pattern Recognition, Cytometry Part A, INFM-OAR (INFN Catania), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 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.

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