Thomas Nocke

23 papers receiving 422 citations

Peers

Thomas Nocke
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 315
  • Ecological Modeling 43
  • Signal Processing 84
  • Computer Graphics and Computer-Aided Design 24
  • Geography, Planning and Development 34
Replace Sebastian Bremm with:
Sebastian Bremm Germany
Miloš Krstajić Germany
Abish Malik United States
G. Ellis United Kingdom
Zikun Deng China
Xiaotong Liu China
Peter Gatalsky Germany
Tyng–Ruey Chuang Taiwan
Qiaomu Shen China
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Thomas Nocke relative to Sebastian Bremm Germany Sebastian Bremm's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas Nocke

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Nocke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Nocke, 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 Thomas Nocke Line = papers co-authored together Thomas Nocke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 200737
3 200531
4 200730
5 200429
6
Enhancing the visualization process with principal component analysis to support the exploration of trends
200628
7 201523
8 201523
9 201122
10 201720
11
Meta Data for Visual Data Mining
200210
12 20169
13
A framework for visual data mining of structures
20069
14 20146
15 20045
16 20065
17 20032
18 20152
19
Visualisierungsdesign - ein systematischer Überblick.
20062
20 20112

About Thomas Nocke

Thomas Nocke is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Artificial Intelligence, Statistical and Nonlinear Physics and Ecological Modeling, having authored 23 papers that have together received 438 indexed citations. Recurring topics across this work include Data Visualization and Analytics (19 papers), Multimedia Communication and Technology (6 papers), Species Distribution and Climate Change (5 papers), Data Analysis with R (5 papers), Complex Network Analysis Techniques (5 papers), Advanced Clustering Algorithms Research (3 papers), Scientific Computing and Data Management (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Ecological Modeling (43 citations), Signal Processing (84 citations), Computer Graphics and Computer-Aided Design (24 citations) and Geography, Planning and Development (34 citations). Thomas Nocke has collaborated with scholars based in Germany, Sweden and Switzerland. Frequent co-authors include Heidrun Schumann, Hans‐Jörg Schulz, Magnus Heitzler, Michael Flechsig, Christian Tominski, Jonathan F. Donges, Wolfgang Müller, Dim Coumou, Norbert Marwan and Tino Weinkauf. Their work appears in journals such as The Visual Computer, Chaos An Interdisciplinary Journal of Nonlinear Science, Nature Climate Change, Earth System Dynamics and Information Visualization.

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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