Ingrid Hotz

2.2k total citations
98 papers, 1.1k citations indexed

About

Ingrid Hotz is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics. According to data from OpenAlex, Ingrid Hotz has authored 98 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 28 papers in Computer Graphics and Computer-Aided Design and 25 papers in Computational Theory and Mathematics. Recurrent topics in Ingrid Hotz's work include Computer Graphics and Visualization Techniques (27 papers), Data Visualization and Analytics (27 papers) and Topological and Geometric Data Analysis (22 papers). Ingrid Hotz is often cited by papers focused on Computer Graphics and Visualization Techniques (27 papers), Data Visualization and Analytics (27 papers) and Topological and Geometric Data Analysis (22 papers). Ingrid Hotz collaborates with scholars based in Germany, Sweden and United States. Ingrid Hotz's co-authors include Jan Reininghaus, Bernd Hamann, Hans‐Christian Hege, Talha Bin Masood, Hans Hagen, Anders Ynnerman, Thomas Schultz, Mathieu Linares, David Günther and Bei Wang and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Ingrid Hotz

87 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingrid Hotz Germany 21 438 279 223 174 161 98 1.1k
Aaron Knoll United States 19 564 1.3× 590 2.1× 159 0.7× 321 1.8× 148 0.9× 49 1.2k
Mariette Yvinec France 20 444 1.0× 974 3.5× 216 1.0× 613 3.5× 124 0.8× 64 1.7k
Julien Tierny France 18 481 1.1× 203 0.7× 354 1.6× 157 0.9× 46 0.3× 42 905
Gert Vegter Netherlands 22 266 0.6× 474 1.7× 285 1.3× 196 1.1× 35 0.2× 65 1.3k
Mark A. Duchaineau United States 21 426 1.0× 445 1.6× 103 0.5× 467 2.7× 575 3.6× 54 1.5k
Li‐Tien Cheng United States 20 240 0.5× 271 1.0× 221 1.0× 1.0k 5.8× 212 1.3× 42 1.9k
Harald Köstler Germany 19 156 0.4× 32 0.1× 62 0.3× 472 2.7× 199 1.2× 86 1.2k
Harsh Bhatia United States 16 148 0.3× 104 0.4× 97 0.4× 121 0.7× 39 0.2× 38 830
Tom Peterka United States 19 212 0.5× 154 0.6× 43 0.2× 65 0.4× 77 0.5× 57 1.2k
Hermann Karcher Germany 20 221 0.5× 79 0.3× 265 1.2× 282 1.6× 47 0.3× 37 2.1k

Countries citing papers authored by Ingrid Hotz

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Hotz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Hotz

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Hotz. A scholar is included among the top collaborators of Ingrid Hotz 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 Ingrid Hotz. Ingrid Hotz 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.
Carr, Hamish, et al.. (2025). Multi-Field Visualization: Trait Design and Trait-Induced Merge Trees. IEEE Transactions on Visualization and Computer Graphics. 31(10). 6677–6690.
2.
Nyman, Elin, Peter Gennemark, Peter Gustafsson, et al.. (2024). A unified framework for prediction of liver steatosis dynamics in response to different diet and drug interventions. Clinical Nutrition. 43(6). 1532–1543. 1 indexed citations
3.
Masood, Talha Bin, et al.. (2023). Continuous Scatterplot Operators for Bivariate Analysis and Study of Electronic Transitions. IEEE Transactions on Visualization and Computer Graphics. 30(7). 3532–3544. 5 indexed citations
4.
Laniel, Dominique, Florian Trybel, Yuqing Yin, et al.. (2023). Aromatic hexazine [N6]4− anion featured in the complex structure of the high-pressure potassium nitrogen compound K9N56. Nature Chemistry. 15(5). 641–646. 28 indexed citations
5.
Masood, Talha Bin, et al.. (2022). Level of Detail Exploration of Electronic Transition Ensembles using Hierarchical Clustering. Computer Graphics Forum. 41(3). 333–344. 2 indexed citations
6.
Masood, Talha Bin, et al.. (2021). Visual Analysis of Electronic Densities and Transitions in Molecules. KTH Publication Database DiVA (KTH Royal Institute of Technology). 11 indexed citations
7.
Falk, Martin, et al.. (2021). Tracking Internal Frames of Reference for Consistent Molecular Distribution Functions. IEEE Transactions on Visualization and Computer Graphics. 28(9). 3126–3137. 11 indexed citations
8.
Jönsson, Daniel, Camilla Forsell, Rozalyn Simon, et al.. (2020). VisualNeuro: A Hypothesis Formation and Reasoning Application for Multi‐Variate Brain Cohort Study Data. Computer Graphics Forum. 39(6). 392–407. 5 indexed citations
9.
Wang, Bei, et al.. (2019). Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology. Computer Graphics Forum. 38(3). 337–349. 9 indexed citations
10.
Jönsson, Daniel, Peter Steneteg, Martin Falk, et al.. (2019). Inviwo — A Visualization System with Usage Abstraction Levels. IEEE Transactions on Visualization and Computer Graphics. 26(11). 3241–3254. 38 indexed citations
11.
Hotz, Ingrid, et al.. (2018). Feature Level-Sets: Generalizing Iso-Surfaces to Multi-Variate Data. IEEE Transactions on Visualization and Computer Graphics. 26(2). 1308–1319. 19 indexed citations
12.
König, Carolin, et al.. (2018). Binding sites for luminescent amyloid biomarkers from non-biased molecular dynamics simulations. Chemical Communications. 54(24). 3030–3033. 24 indexed citations
13.
Monteiro, Joy Merwin, et al.. (2018). An Exploratory Framework for Cyclone Identification and Tracking. IEEE Transactions on Visualization and Computer Graphics. 25(3). 1460–1473. 20 indexed citations
14.
Reininghaus, Jan, et al.. (2011). Generalized heat kernel signatures. Digital Library (University of West Bohemia). 19. 93–100. 4 indexed citations
15.
Reininghaus, Jan, et al.. (2011). Two-Dimensional Time-Dependent Vortex Regions Based on the Acceleration Magnitude. IEEE Transactions on Visualization and Computer Graphics. 17(12). 2080–2087. 40 indexed citations
16.
Reininghaus, Jan, et al.. (2010). Fast Combinatorial Vector Field Topology. IEEE Transactions on Visualization and Computer Graphics. 17(10). 1433–1443. 25 indexed citations
17.
Hotz, Ingrid, et al.. (2009). Localized Finite-time Lyapunov Exponent for Unsteady Flow Analysis.. Vision Modeling and Visualization. 1. 265–274. 31 indexed citations
18.
Prohaska, Steffen, et al.. (2009). Dual streamline seeding. 9–16. 28 indexed citations
19.
Hotz, Ingrid, et al.. (2009). Comparative Visualization of Two-Dimensional Flow Data Using Moment Invariants. Vision Modeling and Visualization. 255–264. 5 indexed citations
20.
Hotz, Ingrid & Hans Hagen. (2000). Visualizing geodesics. IEEE Visualization. 311–318. 12 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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