Svenja Simon
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
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- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
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- Data Visualization and Analytics 8
- Co-authors
- Daniel A. Keim (15 shared papers)Klaus Neuhaus (13 shared papers)Siegfried Scherer (10 shared papers)Steffen Schober (3 shared papers)Daniela Oelke (2 shared papers)Sebastian Mittelstädt (2 shared papers)Michael Sedlmair (1 shared paper)Michael Witting (2 shared papers)
In The Last Decade
Svenja Simon
22 papers receiving 325 citations
Peers
Comparison fields: 5 of 75
- Endocrinology 51
- Aging 7
- Computer Vision and Pattern Recognition 77
- Genetics 78
- Molecular Biology 164
Countries citing papers authored by Svenja Simon
This map shows the geographic impact of Svenja Simon'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 Svenja Simon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Svenja Simon more than expected).
Fields of papers citing papers by Svenja Simon
This network shows the impact of papers produced by Svenja Simon. 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 Svenja Simon. The network helps show where Svenja Simon may publish in the future.
Co-authors
The 25 scholars most cited alongside Svenja Simon, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 45 | |
| 2 | 2011 | 30 | |
| 3 | 2015 | 27 | |
| 4 | 2015 | 27 | |
| 5 | 2016 | 26 | |
| 6 | 2017 | 25 | |
| 7 | 2013 | 25 | |
| 8 | 2016 | 20 | |
| 9 | Solving Problems with Visual Analytics : Challenges and Applications | 2012 | 16 |
| 10 | 2018 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 11 | |
| 13 | 2013 | 9 | |
| 14 | 2012 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 2015 | 4 | |
| 19 | Visual Analytics for the Prediction of Movie Rating and Box Office Performance | 2013 | 4 |
| 20 | Similarity-Driven Visual-Interactive Prediction of Movie Ratings and Box Office Results | 2013 | 2 |
About Svenja Simon
Svenja Simon is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Endocrinology, Infectious Diseases and Artificial Intelligence, having authored 23 papers that have together received 327 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Escherichia coli research studies (4 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Media Influence and Health (2 papers), Advanced Text Analysis Techniques (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Endocrinology (51 citations), Aging (7 citations), Computer Vision and Pattern Recognition (77 citations), Genetics (78 citations) and Molecular Biology (164 citations). Svenja Simon has collaborated with scholars based in Germany, Austria and Ireland. Frequent co-authors include Daniel A. Keim, Klaus Neuhaus, Siegfried Scherer, Steffen Schober, Daniela Oelke, Sebastian Mittelstädt, Michael Sedlmair, Michael Witting, Philippe Schmitt‐Kopplin and Halldór Janetzko. Their work appears in journals such as BMC Genomics, BMC Evolutionary Biology, Information Visualization, Journal of Proteome Research and Archives of Microbiology.
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.