Markus Diem

1.2k total citations
40 papers, 621 citations indexed

About

Markus Diem is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Markus Diem has authored 40 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Markus Diem's work include Handwritten Text Recognition Techniques (31 papers), Image Processing and 3D Reconstruction (21 papers) and Image Retrieval and Classification Techniques (17 papers). Markus Diem is often cited by papers focused on Handwritten Text Recognition Techniques (31 papers), Image Processing and 3D Reconstruction (21 papers) and Image Retrieval and Classification Techniques (17 papers). Markus Diem collaborates with scholars based in Austria, Germany and Greece. Markus Diem's co-authors include Robert Sablatnig, Florian Kleber, Stefan Fiel, Basilis Gatos, Michael J. Reiter, Michael Dworzak, Martin Kampel, Angela Schumich, Michael Opitz and Stefanie Groeneveld‐Krentz and has published in prestigious journals such as Pattern Recognition, Cytometry Part A and INFM-OAR (INFN Catania).

In The Last Decade

Markus Diem

40 papers receiving 593 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Markus Diem Austria	14	529	149	132	46	30	40	621
Florian Kleber Austria	13	494 0.9×	122 0.8×	120 0.9×	14 0.3×	10 0.3×	38	541
Konstantinos Zagoris Greece	16	651 1.2×	165 1.1×	165 1.3×	15 0.3×		34	723
Christopher Malon United States	7	209 0.4×	16 0.1×	134 1.0×	12 0.3×	2 0.1×	17	309
Pasquale Ferrara Italy	8	442 0.8×	176 1.2×	57 0.4×	6 0.1×	3 0.1×	20	500
Michael Kohnen Germany	10	546 1.0×	24 0.2×	288 2.2×	92 2.0×	5 0.2×	34	690
Lorenzo Putzu Italy	13	525 1.0×	103 0.7×	284 2.2×	24 0.5×	11 0.4×	28	590
Zeeshan Shaukat China	8	107 0.2×	44 0.3×	81 0.6×	36 0.8×	8 0.3×	16	267
Muhammad Attique Pakistan	10	147 0.3×	37 0.2×	77 0.6×	66 1.4×	3 0.1×	16	321
Harishchandra Hebbar India	7	336 0.6×	66 0.4×	213 1.6×	13 0.3×	15 0.5×	13	390
Roopa B. Hegde India	8	332 0.6×	65 0.4×	215 1.6×	14 0.3×	14 0.5×	17	416

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-authorship network of co-authors of Markus Diem

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Diem. A scholar is included among the top collaborators of Markus Diem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Diem. Markus Diem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Reiter, Michael J., Markus Diem, Angela Schumich, et al.. (2019). Automated Flow Cytometric MRD Assessment in Childhood Acute B‐ Lymphoblastic Leukemia Using Supervised Machine Learning. Cytometry Part A. 95(9). 966–975. 43 indexed citations

Licandro, Roxane, Michael J. Reiter, Markus Diem, et al.. (2018). Application of Machine Learning for Automatic MRD Assessment in Paediatric Acute Myeloid Leukaemia. 401–408. 7 indexed citations

Kleber, Florian, et al.. (2018). Matching Table Structures of Historical Register Books using Association Graphs. reposiTUm (TU Wien). 58. 217–222. 2 indexed citations

Licandro, Roxane, Michael J. Reiter, Markus Diem, et al.. (2018). WGAN Latent Space Embeddings for Blast Identification in Childhood Acute Myeloid Leukaemia. 3868–3873. 9 indexed citations

Kleber, Florian, et al.. (2017). Mass Digitization of Archival Documents using Mobile Phones. reposiTUm (TU Wien). 65–70. 3 indexed citations

Reiter, Michael J., Paolo Rota, Florian Kleber, et al.. (2016). Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures. Pattern Recognition. 60. 1029–1040. 15 indexed citations

Opitz, Michael, Markus Diem, Stefan Fiel, Florian Kleber, & Robert Sablatnig. (2014). End-to-End Text Recognition Using Local Ternary Patterns, MSER and Deep Convolutional Nets. 19. 186–190. 30 indexed citations

Diem, Markus, et al.. (2014). Improving OCR Accuracy by Applying Enhancement Techniques on Multispectral Images. 3080–3085. 4 indexed citations

Diem, Markus, et al.. (2013). ICDAR 2013 Competition on Handwritten Digit Recognition (HDRC 2013). 1422–1427. 39 indexed citations

10.

Sablatnig, Robert, et al.. (2011). Layout Analysis for Historical Manuscripts Using Sift Features. 508–512. 26 indexed citations

11.

Sablatnig, Robert, et al.. (2011). Using local features for efficient layout analysis of ancient manuscripts. European Signal Processing Conference. 1259–1263. 9 indexed citations

12.

Diem, Markus, Florian Kleber, & Robert Sablatnig. (2011). Text Classification and Document Layout Analysis of Paper Fragments. 854–858. 14 indexed citations

13.

Perl, John, et al.. (2011). Strip shredded document reconstruction using optical character recognition. P35–P35. 10 indexed citations

14.

Kleber, Florian, Markus Diem, & Robert Sablatnig. (2010). Document reconstruction by layout analysis of snippets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7531. 753107–753107. 5 indexed citations

15.

Kleber, Florian, Markus Diem, Robert Sablatnig, & Martin Kampel. (2010). Proposing features for the reconstruction of marble plates of ephesos. 328–331. 4 indexed citations

16.

Diem, Markus, et al.. (2010). Detecting Text Areas and Decorative Elements in Ancient Manuscripts. 176–181. 13 indexed citations

17.

Diem, Markus, Florian Kleber, & Robert Sablatnig. (2009). Analysis of document snippets as a basis for reconstruction. 101–108. 2 indexed citations

18.

Diem, Markus & Robert Sablatnig. (2009). Recognition of Degraded Handwritten Characters Using Local Features. 1. 221–225. 27 indexed citations

19.

Diem, Markus, et al.. (2008). Registration And Enhancing Of Multispectral Manuscript Images. INFM-OAR (INFN Catania). 1–5. 14 indexed citations

20.

Diem, Markus, et al.. (2007). Registration of Multi-Spectral Manuscript Images. Eurographics. 133–140. 5 indexed citations

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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