Thomas Nocke

651 citations
23 papers · 431 indexed · h-index 11

Impact in

Papers in

Thomas Nocke

23 papers receiving 414 citations

Peers

Thomas Nocke
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 316
  • Ecological Modeling 43
  • Signal Processing 87
  • 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
Peter Gatalsky Germany
Tyng–Ruey Chuang Taiwan
Qiaomu Shen China
Zikun Deng China
S. Wróbel Germany
Stephen Brooks Canada
Kevin Verbeek Netherlands
Thomas Nocke relative to Sebastian Bremm Germany Sebastian Bremm's profile →
Citations per field
00.5×1.7×
Sebastian Bremm · 1×
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-authorship network

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
#Work
1 20231
2 201720
3 20169
4 201523
5 20152
6 201522
7 2013135
8
User preferences for the presentation of uncertainties on web platforms for climate change information
20121
9 20111
10 201122
11 200737
12
Visualisierungsdesign - ein systematischer Überblick.
20062
13 20065
14
Enhancing the visualization process with principal component analysis to support the exploration of trends
200628
15
A framework for visual data mining of structures
20069
16 200531
17 20045
18 200429
19 20032
20
Meta Data for Visual Data Mining
200210

About Thomas Nocke

Thomas Nocke is a scholar working on Ecological Modeling, Computer Vision and Pattern Recognition, Information Systems and Management, Statistical and Nonlinear Physics and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 431 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), Video Analysis and Summarization (3 papers), Advanced Clustering Algorithms Research (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Ecological Modeling (43 citations), Signal Processing (87 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 Australia. 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 Chaos An Interdisciplinary Journal of Nonlinear Science, Nature Climate Change, Earth System Dynamics, IEEE Transactions on Visualization and Computer Graphics and The Visual Computer.

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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