Jonas Lukasczyk

1.0k total citations
23 papers, 703 citations indexed

About

Jonas Lukasczyk is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Global and Planetary Change. According to data from OpenAlex, Jonas Lukasczyk has authored 23 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Computational Theory and Mathematics and 5 papers in Global and Planetary Change. Recurrent topics in Jonas Lukasczyk's work include Topological and Geometric Data Analysis (12 papers), Data Visualization and Analytics (10 papers) and Advanced Vision and Imaging (5 papers). Jonas Lukasczyk is often cited by papers focused on Topological and Geometric Data Analysis (12 papers), Data Visualization and Analytics (10 papers) and Advanced Vision and Imaging (5 papers). Jonas Lukasczyk collaborates with scholars based in Germany, United States and France. Jonas Lukasczyk's co-authors include Ross Maciejewski, Ariane Middel, Michael Arnold, Matthias Roth, Matthias Demuzere, Christoph Garth, Heike Leitte, Chuyuan Wang, Soe W. Myint and Shai Kaplan and has published in prestigious journals such as The Plant Journal, Landscape and Urban Planning and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Jonas Lukasczyk

21 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Lukasczyk Germany 12 368 274 248 117 110 23 703
Yinyi Lin Taiwan 16 241 0.7× 96 0.4× 253 1.0× 201 1.7× 10 0.1× 92 848
Jialyu He China 10 79 0.2× 81 0.3× 449 1.8× 54 0.5× 127 1.2× 12 714
Changjiang Xiao China 14 321 0.9× 88 0.3× 278 1.1× 21 0.2× 53 0.5× 45 836
Liujia Chen China 7 173 0.5× 132 0.5× 648 2.6× 22 0.2× 24 0.2× 11 810
Yuchao Gao China 12 122 0.3× 142 0.5× 183 0.7× 27 0.2× 21 0.2× 32 560
Jingliang Hu Germany 12 214 0.6× 58 0.2× 215 0.9× 173 1.5× 29 0.3× 17 852
Zhiyu Fan China 10 269 0.7× 219 0.8× 208 0.8× 7 0.1× 26 0.2× 20 561
Saverio Giulini Italy 12 129 0.4× 138 0.5× 49 0.2× 8 0.1× 67 0.6× 33 523
Naoufal Raissouni Morocco 9 523 1.4× 100 0.4× 345 1.4× 95 0.8× 63 0.6× 55 864
Tianjun Wu China 15 272 0.7× 49 0.2× 253 1.0× 98 0.8× 22 0.2× 61 800

Countries citing papers authored by Jonas Lukasczyk

Since Specialization
Citations

This map shows the geographic impact of Jonas Lukasczyk'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 Jonas Lukasczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Lukasczyk more than expected).

Fields of papers citing papers by Jonas Lukasczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas Lukasczyk. 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 Jonas Lukasczyk. The network helps show where Jonas Lukasczyk may publish in the future.

Co-authorship network of co-authors of Jonas Lukasczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Lukasczyk. A scholar is included among the top collaborators of Jonas Lukasczyk 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 Jonas Lukasczyk. Jonas Lukasczyk 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.
Lukasczyk, Jonas, et al.. (2024). TTK is Getting MPI-Ready. IEEE Transactions on Visualization and Computer Graphics. 30(8). 5875–5892. 1 indexed citations
2.
Maus, Oliver, Dominik Brilhaus, Cristina Martins Rodrigues, et al.. (2023). PLANTdataHUB: a collaborative platform for continuous FAIR data sharing in plant research. The Plant Journal. 116(4). 974–988. 13 indexed citations
3.
Lukasczyk, Jonas, et al.. (2023). Parallel Computation of Piecewise Linear Morse-Smale Segmentations. IEEE Transactions on Visualization and Computer Graphics. 30(4). 1942–1955. 4 indexed citations
4.
Lukasczyk, Jonas, et al.. (2023). ExTreeM: Scalable Augmented Merge Tree Computation via Extremum Graphs. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–10.
5.
Lukasczyk, Jonas, et al.. (2022). Towards Benchmark Data Generation for Feature Tracking in Scalar Fields. 103–112. 2 indexed citations
6.
Lukasczyk, Jonas, Talha Bin Masood, Gunilla Svensson, et al.. (2022). Exploring Cyclone Evolution with Hierarchical Features. 92–102. 5 indexed citations
7.
Chakrabarti-Bell, S., Jonas Lukasczyk, Jie Liu, et al.. (2021). Flour Quality effects on percolation of gas bubbles in wheat flour doughs. Innovative Food Science & Emerging Technologies. 74. 102841–102841. 8 indexed citations
8.
Lukasczyk, Jonas, et al.. (2021). Exploring geographic hotspots using topological data analysis. Transactions in GIS. 25(6). 3188–3209. 2 indexed citations
9.
Lukasczyk, Jonas, et al.. (2020). Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees. Computer Graphics Forum. 39(3). 343–355. 14 indexed citations
10.
Lukasczyk, Jonas, Christoph Garth, Ross Maciejewski, & Julien Tierny. (2020). Localized Topological Simplification of Scalar Data. IEEE Transactions on Visualization and Computer Graphics. 27(2). 572–582. 18 indexed citations
11.
Lukasczyk, Jonas, Jeffrey D. Hyman, G. Srinivasan, et al.. (2019). A Query-Based Framework for Searching, Sorting, and Exploring Data Ensembles. Computing in Science & Engineering. 22(2). 64–76. 1 indexed citations
12.
Middel, Ariane, et al.. (2018). Urban form and composition of street canyons: A human-centric big data and deep learning approach. Landscape and Urban Planning. 183. 122–132. 160 indexed citations
13.
Wang, Chuyuan, Ariane Middel, Soe W. Myint, et al.. (2018). Assessing local climate zones in arid cities: The case of Phoenix, Arizona and Las Vegas, Nevada. ISPRS Journal of Photogrammetry and Remote Sensing. 141. 59–71. 115 indexed citations
14.
Middel, Ariane, Jonas Lukasczyk, Ross Maciejewski, Matthias Demuzere, & Matthias Roth. (2018). Sky View Factor footprints for urban climate modeling. Urban Climate. 25. 120–134. 143 indexed citations
15.
Lukasczyk, Jonas, et al.. (2018). VOIDGA: A View-Approximation Oriented Image Database Generation Approach. 12–22. 2 indexed citations
16.
Middel, Ariane, Jonas Lukasczyk, & Ross Maciejewski. (2017). Sky View Factors from Synthetic Fisheye Photos for Thermal Comfort Routing—A Case Study in Phoenix, Arizona. Urban Planning. 2(1). 19–30. 86 indexed citations
17.
Rieck, Bastian, et al.. (2017). Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks. IEEE Transactions on Visualization and Computer Graphics. 24(1). 822–831. 31 indexed citations
18.
Lukasczyk, Jonas, Gunther H. Weber, Ross Maciejewski, Christoph Garth, & Heike Leitte. (2017). Nested Tracking Graphs. Computer Graphics Forum. 36(3). 12–22. 33 indexed citations
19.
Lukasczyk, Jonas, Ross Maciejewski, Christoph Garth, & Hans Hagen. (2015). Understanding hotspots. 1–10. 22 indexed citations
20.
Lukasczyk, Jonas, Xing Liang, Wei Luo, et al.. (2015). A Collaborative Web-Based Environmental Data Visualization and Analysis Framework. Eurographics. 2 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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