H. Jänicke

595 total citations
19 papers, 456 citations indexed

About

H. Jänicke is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, H. Jänicke has authored 19 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in H. Jänicke's work include Data Visualization and Analytics (14 papers), Computer Graphics and Visualization Techniques (6 papers) and Time Series Analysis and Forecasting (4 papers). H. Jänicke is often cited by papers focused on Data Visualization and Analytics (14 papers), Computer Graphics and Visualization Techniques (6 papers) and Time Series Analysis and Forecasting (4 papers). H. Jänicke collaborates with scholars based in Germany, United Kingdom and United States. H. Jänicke's co-authors include Gerik Scheuermann, Michael Böttinger, Alexander Wiebel, Wolfgang Kollmann, Thomas Wischgoll, Christian Heine, Uwe Mikolajewicz, Xavier Tricoche, Gerhard Heyer and Rita Borgo and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and IEEE Computer Graphics and Applications.

In The Last Decade

H. Jänicke

19 papers receiving 443 citations

Peers

H. Jänicke
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 343
  • Computer Graphics and Computer-Aided Design 162
  • Signal Processing 96
  • Artificial Intelligence 86
  • Computational Theory and Mathematics 76
Alexander Wiebel Germany
Mahsa Mirzargar United States
Raphael Fuchs Switzerland
Koji Koyamada Japan
Jun Tao China
Carlos D. Correa United States
Kevin Verbeek Netherlands
Florian Ferstl Germany
Benjamin Vrolijk Netherlands
Alexander Kühn Germany
Alexander Wiebel Germany View profile →
Citations per field, relative to H. Jänicke
H. Jänicke · 1×
Citations per year, relative to H. Jänicke
H. Jänicke · 1×

Countries citing papers authored by H. Jänicke

Since Specialization
Citations

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

Fields of papers citing papers by H. Jänicke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Jänicke

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 17
2 40
3 14
4 15
5 8
6 12
7 17
8 18
9 37
10 6
11 4
12 7
13 3
14 39
15 52
16
The State of the Art in Flow Visualization: Partition-Based Techniques
55
17 13
18 31
19 68

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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