Georg Fuchs

1.9k total citations
48 papers, 1.3k citations indexed

About

Georg Fuchs is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Geography, Planning and Development. According to data from OpenAlex, Georg Fuchs has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 18 papers in Geography, Planning and Development. Recurrent topics in Georg Fuchs's work include Data Visualization and Analytics (23 papers), Data Management and Algorithms (19 papers) and Geographic Information Systems Studies (18 papers). Georg Fuchs is often cited by papers focused on Data Visualization and Analytics (23 papers), Data Management and Algorithms (19 papers) and Geographic Information Systems Studies (18 papers). Georg Fuchs collaborates with scholars based in Germany, United Kingdom and United States. Georg Fuchs's co-authors include Gennady Andrienko, Natalia Andrienko, Julia Mario, Florian J. Fintelmann, Fabian M. Troschel, Piotr Jankowski, Synho Do, Jo Wood, Christian Tominski and José Manuel Cordero García and has published in prestigious journals such as American Journal of Roentgenology, The Oncologist and European Radiology.

In The Last Decade

Georg Fuchs

46 papers receiving 1.3k citations

Peers

Georg Fuchs

CVPR

PHYSI

TRANS

GPD

Marco Avvenuti Italy

Mahdi Hashemi United States

Ernestina Menasalvas Spain

Zhen He Australia

Lyna L. Wiggins United States

Danilo Montesi Italy

Farnoush Banaei‐Kashani United States

Gian Paolo Rossi Italy

Tomi Kauppinen Finland

Haochao Ying China

Marco Avvenuti Italy

Georg Fuchs

438 ×1.0

CVPR

25 ×0.1

PHYSI

64 ×0.3

TRANS

142 ×0.6

43 ×0.2

GPD

Citations per year, relative to Georg Fuchs Georg Fuchs (= 1×) peers Marco Avvenuti

Countries citing papers authored by Georg Fuchs

Since Specialization

Citations

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

Fields of papers citing papers by Georg Fuchs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Fuchs

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Fuchs. A scholar is included among the top collaborators of Georg Fuchs 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 Georg Fuchs. Georg Fuchs 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

Fuchs, Georg, et al.. (2025). Trust at every step: Embedding trust quality gates into the visual data exploration loop for machine learning-based clinical decision support systems. Computers & Graphics. 128. 104212–104212. 1 indexed citations

Andrienko, Natalia, Gennady Andrienko, Georg Fuchs, et al.. (2020). Visual Analytics for Data Scientists. CERN Document Server (European Organization for Nuclear Research). 26 indexed citations

Vouros, George A., Christos Doulkeridis, Akrivi Vlachou, et al.. (2019). The datAcron Ontology for the Specification of Semantic Trajectories. City Research Online (City University London). 8(4). 235–262. 6 indexed citations

Fuchs, Georg, Yves Chrétien, Julia Mario, et al.. (2018). Quantifying the effect of slice thickness, intravenous contrast and tube current on muscle segmentation: Implications for body composition analysis. European Radiology. 28(6). 2455–2463. 64 indexed citations

Vouros, George A., Akrivi Vlachou, Christos Doulkeridis, et al.. (2018). Big Data Analytics for Time Critical Mobility Forecasting: Recent Progress and Research Challenges. Movebank. 612–623. 14 indexed citations

Andrienko, Gennady, Natalia Andrienko, Jason Dykes, et al.. (2017). Visual analysis of pressure in football. Data Mining and Knowledge Discovery. 31(6). 1793–1839. 81 indexed citations

Fuchs, Georg, Tharusan Thevathasan, Yves Chrétien, et al.. (2017). Lumbar skeletal muscle index derived from routine computed tomography exams predict adverse post-extubation outcomes in critically ill patients. Journal of Critical Care. 44. 117–123. 26 indexed citations

Lee, Hyunkwang, Fabian M. Troschel, Shahein Tajmir, et al.. (2017). Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis. Journal of Digital Imaging. 30(4). 487–498. 123 indexed citations

Vrotsou, Katerina, Georg Fuchs, Natalia Andrienko, & Gennady Andrienko. (2017). An Interactive Approach for Exploration of Flows Through Direction-Based Filtering. Journal of Geovisualization and Spatial Analysis. 1(1-2). 13 indexed citations

10.

Fuchs, Georg, et al.. (2016). Identification of disaster-affected areas using exploratory visual analysis of georeferenced Tweets: application to a flood event. University of Twente Research Information. 1–5. 4 indexed citations

11.

Fuchs, Georg, et al.. (2015). A semi-supervised method for topic extraction from micro postings. it - Information Technology. 57(1). 49–56. 2 indexed citations

12.

Andrienko, Natalia, Gennady Andrienko, Georg Fuchs, Salvatore Rinzivillo, & Hans‐Dieter Betz. (2015). Detection, tracking, and visualization of spatial event clusters for real time monitoring. ISTI Open Portal. 1–10. 13 indexed citations

13.

Fuchs, Georg, Hendrik Stange, Dirk Hecker, Natalia Andrienko, & Gennady Andrienko. (2015). Constructing semantic interpretation of routine and anomalous mobility behaviors from big data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 7(1). 27–34. 6 indexed citations

14.

Andrienko, Natalia, Gennady Andrienko, & Georg Fuchs. (2014). Analysis of mobility behaviors in geographic and semantic spaces. City Research Online (City University London). 341–342. 3 indexed citations

15.

Vrotsou, Katerina, Halldór Janetzko, Georg Fuchs, et al.. (2014). SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories. IEEE Transactions on Visualization and Computer Graphics. 21(1). 107–121. 25 indexed citations

16.

Andrienko, Gennady, et al.. (2013). EXTRACTING SEMANTICS OF Individual PLACES FROM MOVEMENT DATA BY ANALYZING TEMPORAL PATTERNS OF VISITS. City Research Online (City University London). 9–15. 18 indexed citations

17.

Fuchs, Georg, et al.. (2005). A Classification Scheme for Lens Techniques.. Digital Library (University of West Bohemia). 89–92. 3 indexed citations

18.

Fuchs, Georg & Heidrun Schumann. (2004). Visualizing abstract data on maps. Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.. 139–144. 14 indexed citations

19.

Fuchs, Georg, et al.. (1978). [The aid of bone scans in diagnosis of fibrous dysplasia (author's transl)].. PubMed. 18(2). 69–73. 1 indexed citations

20.

Neubert, Diether, et al.. (1977). Interference of 6-mercaptopurine riboside, 6-methylmercaptopurine riboside and azathioprine with the morphogenetic differentiation of mouse extremities in vivo and in organ culture. Naunyn-Schmiedeberg s Archives of Pharmacology. 298(2). 93–105. 19 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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