Marc Streit
Impact in
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- Data Visualization and Analytics
- Video Analysis and Summarization
- Health Informatics top 2%
Papers in
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- Data Visualization and Analytics 56
- Video Analysis and Summarization 14
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- Data Analysis with R 8
- Explainable Artificial Intelligence (XAI) 8
- Co-authors
- Alexander Lex (28 shared papers)Nils Gehlenborg (8 shared papers)Samuel Gratzl (13 shared papers)Dieter Schmalstieg (25 shared papers)Hanspeter Pfister (6 shared papers)Hans‐Jörg Schulz (6 shared papers)Christian Partl (8 shared papers)Holger Stitz (17 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (22 papers)Computer Graphics Forum (11 papers)Visual Informatics (3 papers)Bioinformatics (3 papers)BMC Bioinformatics (3 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Marc Streit
79 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 1.3k
- Health Informatics 56
- Information Systems and Management 211
- Artificial Intelligence 695
- Signal Processing 230
Countries citing papers authored by Marc Streit
This map shows the geographic impact of Marc Streit'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 Marc Streit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Streit more than expected).
Fields of papers citing papers by Marc Streit
This network shows the impact of papers produced by Marc Streit. 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 Marc Streit. The network helps show where Marc Streit may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Streit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 210 | |
| 2 | 2016 | 167 | |
| 3 | 2014 | 95 | |
| 4 | 2019 | 83 | |
| 5 | 2022 | 78 | |
| 6 | 2011 | 74 | |
| 7 | 2014 | 71 | |
| 8 | 2010 | 68 | |
| 9 | 2016 | 67 | |
| 10 | 2020 | 62 | |
| 11 | 2021 | 59 | |
| 12 | 2016 | 56 | |
| 13 | 2012 | 55 | |
| 14 | 2014 | 52 | |
| 15 | 2010 | 44 | |
| 16 | 2011 | 42 | |
| 17 | 2014 | 38 | |
| 18 | 2011 | 37 | |
| 19 | 2006 | 36 | |
| 20 | 2020 | 36 |
About Marc Streit
Marc Streit is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Information Systems and Management and Sociology and Political Science, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (56 papers), Video Analysis and Summarization (14 papers), Bioinformatics and Genomic Networks (13 papers), Scientific Computing and Data Management (11 papers), Gene expression and cancer classification (11 papers), Cell Image Analysis Techniques (10 papers), Data Analysis with R (8 papers) and Explainable Artificial Intelligence (XAI) (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Health Informatics (56 citations), Information Systems and Management (211 citations), Artificial Intelligence (695 citations) and Signal Processing (230 citations). Marc Streit has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Alexander Lex, Nils Gehlenborg, Samuel Gratzl, Dieter Schmalstieg, Hanspeter Pfister, Hans‐Jörg Schulz, Christian Partl, Holger Stitz, Harald Piringer and Theresia Gschwandtner. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Visual Informatics, Bioinformatics and BMC Bioinformatics.
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.