Hans‐Jörg Schulz
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Data Visualization and Analytics 46
- Video Analysis and Summarization 9
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- Computer Graphics and Visualization Techniques 4
- Co-authors
- Heidrun SchumannSteffen HadlakMarc StreitMagnus HeitzlerThomas NockeChristian TominskiDieter SchmalstiegAlexander Lex
In The Last Decade
Hans‐Jörg Schulz
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 990
- Signal Processing 217
- Statistical and Nonlinear Physics 184
- Ecological Modeling 64
- Computer Graphics and Computer-Aided Design 51
Countries citing papers authored by Hans‐Jörg Schulz
This map shows the geographic impact of Hans‐Jörg Schulz'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 Hans‐Jörg Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Jörg Schulz more than expected).
Fields of papers citing papers by Hans‐Jörg Schulz
This network shows the impact of papers produced by Hans‐Jörg Schulz. 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 Hans‐Jörg Schulz. The network helps show where Hans‐Jörg Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans‐Jörg Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 51 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 2 | |
| 7 | 2020 | 36 | |
| 8 | 2020 | 10 | |
| 9 | 2018 | 33 | |
| 10 | 2018 | 12 | |
| 11 | 2015 | 9 | |
| 12 | 2015 | 23 | |
| 13 | 2013 | 15 | |
| 14 | 2013 | 33 | |
| 15 | 2013 | 1 | |
| 16 | 2012 | 55 | |
| 17 | 2011 | 37 | |
| 18 | 2011 | 42 | |
| 19 | 2011 | 46 | |
| 20 | 2011 | 4 |
About Hans‐Jörg Schulz
Hans‐Jörg Schulz is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Biophysics, Information Systems and Management and Signal Processing, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (46 papers), Video Analysis and Summarization (9 papers), Data Management and Algorithms (8 papers), Multimedia Communication and Technology (8 papers), Complex Network Analysis Techniques (6 papers), Cell Image Analysis Techniques (6 papers), Scientific Computing and Data Management (5 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (990 citations), Signal Processing (217 citations), Statistical and Nonlinear Physics (184 citations), Ecological Modeling (64 citations) and Computer Graphics and Computer-Aided Design (51 citations). Hans‐Jörg Schulz has collaborated with scholars based in Germany, Denmark and Austria. Frequent co-authors include Heidrun Schumann, Steffen Hadlak, Marc Streit, Magnus Heitzler, Thomas Nocke, Christian Tominski, Dieter Schmalstieg, Alexander Lex, Thorsten May and Davide Ceneda. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Information Visualization, Computer Graphics Forum and Informatics.
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.