Alexander Lex
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- Data Visualization and Analytics 41
- Video Analysis and Summarization 6
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 12
- Gene expression and cancer classification 7
- Cancer Research top 5%
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- Scientific Computing and Data Management 9
- Ecology top 5%
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- Complex Network Analysis Techniques 9
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- Data Analysis with R 9
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- Cell Image Analysis Techniques 5
- Co-authors
- Nils GehlenborgJake R. ConwayHanspeter PfisterHendrik StrobeltRomain VuillemotMarc StreitDieter SchmalstiegSamuel Gratzl
- Journals
- IEEE Transactions on Visualization and Computer Graphics (14 papers)Computer Graphics Forum (9 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Alexander Lex
54 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Computer Vision and Pattern Recognition 1.0k
- Molecular Biology 1.9k
- Cancer Research 314
- Information Systems and Management 135
- Ecology 445
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 19 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 11 | |
| 10 | UpSetR: an R package for the visualization of intersecting sets and their propertiesbreakdown → | 2017 | 2036 |
| 11 | 2016 | 56 | |
| 12 | 2014 | 2 | |
| 13 | 2013 | 34 | |
| 14 | 2012 | 55 | |
| 15 | 2011 | 37 | |
| 16 | 2011 | 74 | |
| 17 | 2011 | 42 | |
| 18 | Visual links across applications | 2010 | 26 |
| 19 | 2010 | 68 | |
| 20 | Gene and Protein Expression Profiling in Liver in a Sepsis-Baboon Model | 2009 | 1 |
About Alexander Lex
Alexander Lex is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Biophysics, Statistical and Nonlinear Physics and Human-Computer Interaction, having authored 58 papers that have together received 4.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (41 papers), Bioinformatics and Genomic Networks (12 papers), Scientific Computing and Data Management (9 papers), Complex Network Analysis Techniques (9 papers), Data Analysis with R (9 papers), Gene expression and cancer classification (7 papers), Video Analysis and Summarization (6 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Molecular Biology (1.9k citations), Cancer Research (314 citations), Information Systems and Management (135 citations) and Ecology (445 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, Christian Partl and Carolina Nobre. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Bioinformatics, BMC Bioinformatics and Information Visualization.
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.