Markus Wiedemann

837 total citations · 1 hit paper
24 papers, 569 citations indexed

About

Markus Wiedemann is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Markus Wiedemann has authored 24 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Markus Wiedemann's work include Computer Graphics and Visualization Techniques (3 papers), Hormonal and reproductive studies (3 papers) and Analytical Methods in Pharmaceuticals (2 papers). Markus Wiedemann is often cited by papers focused on Computer Graphics and Visualization Techniques (3 papers), Hormonal and reproductive studies (3 papers) and Analytical Methods in Pharmaceuticals (2 papers). Markus Wiedemann collaborates with scholars based in Germany, United States and France. Markus Wiedemann's co-authors include Christoph Anthes, Dieter Kranzlmüller, Rubén García, Sven Lichtenberg, Peter Habermeyer, Petra Magosch, Jörn Kircher, Gerhard Sandmann, Norihiko Misawa and Hans Fritz and has published in prestigious journals such as Archives of Biochemistry and Biophysics, Analytical and Bioanalytical Chemistry and European Journal of Endocrinology.

In The Last Decade

Markus Wiedemann

19 papers receiving 546 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

State of the art of virtual reality technology

2016 315 citations Christoph Anthes, Rubén García et al. profile →

Peers

Markus Wiedemann

HI

CVPR

SURGE

EPIDE

CN

Davide Calandra Italy

Robert Hardy United States

Laurent Moccozet Switzerland

Nuno F. Rodrigues Portugal

Tianyu Wang China

Meiping Huang China

M. Castañeda Mexico

Liping Shen China

Frederic D. McKenzie United States

Yue Luo United States

Davide Calandra Italy

Markus Wiedemann

153 ×0.7

HI

100 ×0.6

CVPR

28 ×0.2

SURGE

20 ×0.2

EPIDE

46 ×1.1

CN

Citations per year, relative to Markus Wiedemann Markus Wiedemann (= 1×) peers Davide Calandra

Countries citing papers authored by Markus Wiedemann

Since Specialization

Citations

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

Fields of papers citing papers by Markus Wiedemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Wiedemann

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Wiedemann. A scholar is included among the top collaborators of Markus Wiedemann 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 Wiedemann. Markus Wiedemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Richardson, Robin A., Brian J. N. Wylie, Markus Wiedemann, et al.. (2020). Towards blood flow in the virtual human: efficient self-coupling of HemeLB. Interface Focus. 11(1). 20190119–20190119. 16 indexed citations

2.

Wiedemann, Markus & Dieter Kranzlmüller. (2019). Statistical Analysis of Parallel Data Uploading using OpenGL. Eurographics. 101–108.

3.

Krause, Christian, Cinzia Fantinati, Elizabeth Ann Barrett, et al.. (2018). HP³– Experiment on InSight Mission – Operations on Mars. 2018 SpaceOps Conference. 3 indexed citations

4.

Wiedemann, Markus, et al.. (2016). Texture analysis and repacking for improved storage efficiency. 361–362. 1 indexed citations

5.

García, Rubén, Christoph Anthes, Markus Wiedemann, & Dieter Kranzlmüller. (2016). Perspectives for using virtual reality to extend visual data mining in information visualization. 1–11. 29 indexed citations

6.

Anthes, Christoph, Rubén García, Markus Wiedemann, & Dieter Kranzlmüller. (2016). State of the art of virtual reality technology. 1–19. 315 indexed citations breakdown →

7.

Wiedemann, Markus, et al.. (2015). Transforming Geodata for Immersive Visualisation. 24. 249–254. 3 indexed citations

8.

Wiedemann, Markus, et al.. (2015). INTERGENERIC HYBRIDS BETWEEN SPECIES OF HYDRANGEA AND DICHROA - THEIR GERMINATION IN VIVO AND IN VITRO AND MOLECULAR VERIFICATION BY RAPD ANALYSIS. Acta Horticulturae. 333–338. 1 indexed citations

9.

Reinhart, Günther, et al.. (2011). Handlungsfelder zur Realisierung energieeffizienter Produktionsplanung und -steuerung. Zeitschrift für wirtschaftlichen Fabrikbetrieb. 106(9). 596–600. 7 indexed citations

10.

Wiedemann, Markus & Laurent Bosquet. (2009). Anaerobic Work Capacity Derived from Isokinetic and Isoinertial Cycling. International Journal of Sports Medicine. 31(2). 89–94.

11.

Kircher, Jörn, Markus Wiedemann, Petra Magosch, Sven Lichtenberg, & Peter Habermeyer. (2009). Improved accuracy of glenoid positioning in total shoulder arthroplasty with intraoperative navigation: A prospective-randomized clinical study. Journal of Shoulder and Elbow Surgery. 18(4). 515–520. 137 indexed citations

12.

Wiedemann, Markus, Norihiko Misawa, & Gerhard Sandmann. (1993). Purification and Enzymatic Characterization of the Geranylgeranyl Pyrophosphate Synthase from Erwinia uredovora After Expression in Escherichia coli. Archives of Biochemistry and Biophysics. 306(1). 152–157. 18 indexed citations

13.

Huber, Florian, et al.. (1990). Development of a high performance liquid chromatography method for the simultaneous measurement of prednisone and prednisolone.. PubMed. 40(8). 926–31. 5 indexed citations

14.

Wiedemann, Markus, et al.. (1985). A Rule-Based System for Improving on Image Segmentation.. 94–99. 4 indexed citations

15.

Wiedemann, Markus, et al.. (1974). Untersuchungen �ber die Verwendung von125J-markiertem Testosteron bei Proteinbindungsmethoden. Analytical and Bioanalytical Chemistry. 272(3). 195–198. 1 indexed citations

16.

Wiedemann, Markus, et al.. (1972). Trennung von freien und proteingebundenen Steroiden mit Amberlite. Analytical and Bioanalytical Chemistry. 261(4-5). 382–385. 2 indexed citations

17.

Wiedemann, Markus, et al.. (1971). Produktion und Stoffwechsel von Corticosteroiden und Androgenen bei der Lebercirrhose. Journal of Molecular Medicine. 49(6). 340–345. 2 indexed citations

18.

Wiedemann, Markus, et al.. (1970). TESTOSTERONE PRODUCTION AND METABOLISM IN OBESE MALES. European Journal of Endocrinology. 65(4_Suppla). S25–S25. 1 indexed citations

19.

Fritz, Hans, et al.. (1967). [On protease inhibitors. IV. Isolation of protease inhibitors with the aid of water insoluble enzyme resins].. PubMed. 348(3). 308–12. 5 indexed citations

20.

Fritz, Hans, et al.. (1967). [On protease inhibitors, V. On the chemistry and physiology of the specific trypsin inhibitors from the ox, dog, pig and human pancreas].. PubMed. 348(4). 405–18. 11 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.

Explore authors with similar magnitude of impact