Halldór Janetzko

1.4k citations
45 papers · 1.1k · h-index 19

Impact in

Papers in

Halldór Janetzko

44 papers receiving 1.1k citations

Peers

Halldór Janetzko
Comparison fields: 5 of 103
  • Computer Vision and Pattern Recognition 684
  • Signal Processing 256
  • Geography, Planning and Development 63
  • Orthopedics and Sports Medicine 78
  • Artificial Intelligence 331
Replace Dominik Sacha with:
Dominik Sacha Germany
Hartmut Ziegler Germany
Graham Wills United States
Masahiro Takatsuka Australia
Wei-Ta Chu Taiwan
Mikael Jern Sweden
Chris Weaver United States
Dong Hyun Jeong United States
Doantam Phan United States
Aidan Slingsby United Kingdom
Halldór Janetzko relative to Dominik Sacha Germany Dominik Sacha's profile →
Citations per field
00.5×7.1×
Dominik Sacha · 1×
Citations per year

Countries citing papers authored by Halldór Janetzko

Since Specialization
Citations

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

Fields of papers citing papers by Halldór Janetzko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 200996
3 201391
4 200976
5 201470
6 201762
7 201160
8 200954
9 201645
10 201739
11 201131
12 201130
13 201330
14 201530
15 201228
16 201425
17 201122
18 201520
19 201619
20 201018

About Halldór Janetzko

Halldór Janetzko is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (35 papers), Time Series Analysis and Forecasting (13 papers), Video Analysis and Summarization (12 papers), Advanced Text Analysis Techniques (10 papers), Data Management and Algorithms (8 papers), Sports Analytics and Performance (7 papers), Complex Network Analysis Techniques (7 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (684 citations), Signal Processing (256 citations), Geography, Planning and Development (63 citations), Orthopedics and Sports Medicine (78 citations) and Artificial Intelligence (331 citations). Halldór Janetzko has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Daniel A. Keim, Manuel Stein, Tobias Schreck, Ming Hao, Umeshwar Dayal, Peter Michael Bak, Sebastian Mittelstädt, Michael Grossniklaus, Florian Stoffel and Christian Rohrdantz. Their work appears in journals such as Information Visualization, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications and Computers & Graphics.

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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