Alexander Lex
Impact in
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- Data Visualization and Analytics
- Molecular Biology top 5%
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
Papers in
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- Data Visualization and Analytics 47
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- Bioinformatics and Genomic Networks 4
- Melanoma and MAPK Pathways 1
- Co-authors
- Nils Gehlenborg (12 shared papers)Jake R. Conway (1 shared paper)Hanspeter Pfister (11 shared papers)Hendrik Strobelt (3 shared papers)Romain Vuillemot (1 shared paper)Marc Streit (30 shared papers)Dieter Schmalstieg (21 shared papers)Samuel Gratzl (8 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (19 papers)Computer Graphics Forum (9 papers)Nature Methods (3 papers)Information Visualization (3 papers)BMC Bioinformatics (2 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Alexander Lex
65 papers receiving 5.7k citations
Alexander Lex's Hit Papers
Peers
Comparison fields: 5 of 159
- Computer Vision and Pattern Recognition 1.3k
- Molecular Biology 817
- Aging 17
- Plant Science 365
- Ecology 179
Countries citing papers authored by Alexander Lex
This map shows the geographic impact of Alexander Lex'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 Alexander Lex with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Lex more than expected).
Fields of papers citing papers by Alexander Lex
This network shows the impact of papers produced by Alexander Lex. 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 Alexander Lex. The network helps show where Alexander Lex may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Lex, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | UpSetR: an R package for the visualization of intersecting sets and their properties Hit paper breakdown → | 2017 | 2439 |
| 2 | UpSet: Visualization of Intersecting Sets Hit paper breakdown → | 2014 | 1622 |
| 3 | 2013 | 241 | |
| 4 | 2019 | 106 | |
| 5 | 2011 | 87 | |
| 6 | 2014 | 80 | |
| 7 | 2010 | 77 | |
| 8 | 2012 | 69 | |
| 9 | 2016 | 68 | |
| 10 | 2014 | 58 | |
| 11 | 2010 | 52 | |
| 12 | 2011 | 48 | |
| 13 | 2011 | 44 | |
| 14 | 2013 | 43 | |
| 15 | 2020 | 42 | |
| 16 | 2023 | 37 | |
| 17 | 2018 | 34 | |
| 18 | 2018 | 33 | |
| 19 | 2019 | 33 | |
| 20 | 2022 | 33 |
About Alexander Lex
Alexander Lex is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Human Factors and Ergonomics, Biochemistry and Epidemiology, having authored 70 papers that have together received 5.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (47 papers), Bioinformatics and Genomic Networks (4 papers), Digital Accessibility for Disabilities (1 paper), Misinformation and Its Impacts (1 paper), Blood transfusion and management (1 paper), Sepsis Diagnosis and Treatment (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Molecular Biology (817 citations), Aging (17 citations), Plant Science (365 citations) and Ecology (179 citations). Alexander Lex has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Nils Gehlenborg, Jake R. Conway, Hanspeter Pfister, Hendrik Strobelt, Romain Vuillemot, Marc Streit, Dieter Schmalstieg, Samuel Gratzl, Carolina Nobre and Christian Partl. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Nature Methods, Information Visualization 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.