Alexander Lex

8.5k total citations · 2 hit papers
58 papers, 4.7k citations indexed

About

Alexander Lex is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Alexander Lex has authored 58 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 16 papers in Molecular Biology. Recurrent topics in Alexander Lex's work include Data Visualization and Analytics (41 papers), Bioinformatics and Genomic Networks (12 papers) and Scientific Computing and Data Management (9 papers). Alexander Lex is often cited by papers focused on Data Visualization and Analytics (41 papers), Bioinformatics and Genomic Networks (12 papers) and Scientific Computing and Data Management (9 papers). Alexander Lex collaborates with scholars based in United States, Austria and Germany. Alexander Lex's 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 and has published in prestigious journals such as Bioinformatics, Nature Methods and Scientific Reports.

In The Last Decade

Alexander Lex

54 papers receiving 4.6k citations

Hit Papers

UpSetR: an R package for the visualization of intersectin... 2014 2026 2018 2022 2017 2014 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Lex United States 22 1.9k 1.0k 565 494 445 58 4.7k
Nils Gehlenborg United States 25 3.2k 1.7× 743 0.7× 734 1.3× 456 0.9× 493 1.1× 86 6.2k
Dick de Ridder Netherlands 37 2.7k 1.4× 565 0.5× 853 1.5× 574 1.2× 273 0.6× 170 6.0k
Haiying Wang China 36 1.4k 0.8× 658 0.6× 454 0.8× 568 1.1× 171 0.4× 409 5.1k
Rosane Minghim Brazil 25 919 0.5× 1.1k 1.0× 290 0.5× 550 1.1× 190 0.4× 100 3.4k
Hendrik Strobelt United States 20 1.1k 0.6× 690 0.7× 278 0.5× 782 1.6× 154 0.3× 46 3.1k
Jacques Demongeot France 35 1.8k 0.9× 598 0.6× 275 0.5× 315 0.6× 81 0.2× 324 5.0k
Ting Chen China 34 2.0k 1.0× 192 0.2× 242 0.4× 729 1.5× 297 0.7× 203 5.3k
Asa Ben‐Hur United States 37 3.4k 1.8× 878 0.8× 706 1.2× 1.7k 3.4× 150 0.3× 79 7.0k
Jean‐Philippe Vert France 48 6.0k 3.2× 995 1.0× 903 1.6× 1.7k 3.4× 203 0.5× 120 9.6k
Ming Hao United States 26 2.4k 1.3× 560 0.5× 243 0.4× 452 0.9× 63 0.1× 126 5.1k

Countries citing papers authored by Alexander Lex

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Alexander Lex

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Lex. A scholar is included among the top collaborators of Alexander Lex based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Lex. Alexander Lex is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lex, Alexander, et al.. (2024). Persist: Persistent and Reusable Interactions in Computational Notebooks. Computer Graphics Forum. 43(3). 4 indexed citations
2.
Lex, Alexander, et al.. (2024). Loops: Leveraging Provenance and Visualization to Support Exploratory Data Analysis in Notebooks. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1213–1223. 2 indexed citations
3.
Judson‐Torres, Robert L., et al.. (2024). Aardvark: Composite Visualizations of Trees, Time-Series, and Images. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1290–1300. 1 indexed citations
4.
Wagoner, J. B., et al.. (2024). Accessible Text Descriptions for UpSet Plots. 1–4.
5.
Phillips, Jeff M., et al.. (2023). Ferret: Reviewing Tabular Datasets for Manipulation. Computer Graphics Forum. 42(3). 187–198. 2 indexed citations
6.
Meyer, Miriah, et al.. (2022). Data Hunches: Incorporating Personal Knowledge into Visualizations. IEEE Transactions on Visualization and Computer Graphics. 29(1). 504–514. 19 indexed citations
7.
Nobre, Carolina, et al.. (2021). Predicting intent behind selections in scatterplot visualizations. Information Visualization. 20(4). 207–228. 14 indexed citations
9.
Zheng, Yan, et al.. (2019). Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates. IEEE Transactions on Big Data. 7(3). 524–534. 11 indexed citations
10.
Conway, Jake R., Alexander Lex, & Nils Gehlenborg. (2017). UpSetR: an R package for the visualization of intersecting sets and their properties. Bioinformatics. 33(18). 2938–2940. 2036 indexed citations breakdown →
11.
Gratzl, Samuel, Alexander Lex, Nils Gehlenborg, Nicola Cosgrove, & Marc Streit. (2016). From Visual Exploration to Storytelling and Back Again. Computer Graphics Forum. 35(3). 491–500. 56 indexed citations
12.
Pandian, Balaji, et al.. (2014). Mu-8: visualizing differences between proteins and their families. BMC Proceedings. 8(S2). S5–S5. 2 indexed citations
13.
Lex, Alexander, Christian Partl, Denis Kalkofen, et al.. (2013). Entourage: Visualizing Relationships between Biological Pathways using Contextual Subsets. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2536–2545. 34 indexed citations
14.
Lex, Alexander, Marc Streit, Hans‐Jörg Schulz, et al.. (2012). StratomeX: Visual Analysis of Large‐Scale Heterogeneous Genomics Data for Cancer Subtype Characterization. Computer Graphics Forum. 31(3pt3). 1175–1184. 55 indexed citations
15.
Streit, Marc, et al.. (2011). Model-Driven Design for the Visual Analysis of Heterogeneous Data. IEEE Transactions on Visualization and Computer Graphics. 18(6). 998–1010. 37 indexed citations
16.
Steinberger, Markus, Manuela Waldner, Marc Streit, Alexander Lex, & Dieter Schmalstieg. (2011). Context-Preserving Visual Links. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2249–2258. 74 indexed citations
17.
Lex, Alexander, Hans‐Jörg Schulz, Marc Streit, Christian Partl, & Dieter Schmalstieg. (2011). VisBricks: Multiform Visualization of Large, Inhomogeneous Data. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2291–2300. 42 indexed citations
18.
Waldner, Manuela, Werner Puff, Alexander Lex, Marc Streit, & Dieter Schmalstieg. (2010). Visual links across applications. Graphics Interface. 129–136. 26 indexed citations
19.
Lex, Alexander, Marc Streit, Christian Partl, Karl Kashofer, & Dieter Schmalstieg. (2010). Comparative Analysis of Multidimensional, Quantitative Data. IEEE Transactions on Visualization and Computer Graphics. 16(6). 1027–1035. 68 indexed citations
20.
Schmidt, Katharina, Joachim Struck, Andreas Bergmann, et al.. (2009). Gene and Protein Expression Profiling in Liver in a Sepsis-Baboon Model. 1 indexed citations

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.

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