Dominik Jäckle

488 total citations
28 papers, 326 citations indexed

About

Dominik Jäckle is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Dominik Jäckle has authored 28 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 10 papers in Artificial Intelligence. Recurrent topics in Dominik Jäckle's work include Data Visualization and Analytics (25 papers), Time Series Analysis and Forecasting (5 papers) and Advanced Text Analysis Techniques (5 papers). Dominik Jäckle is often cited by papers focused on Data Visualization and Analytics (25 papers), Time Series Analysis and Forecasting (5 papers) and Advanced Text Analysis Techniques (5 papers). Dominik Jäckle collaborates with scholars based in Germany, Austria and Switzerland. Dominik Jäckle's co-authors include Daniel A. Keim, Tobias Schreck, Florian Stoffel, Fabian Fischer, Bum Chul Kwon, Sebastian Mittelstädt, Jing Yang, Andreas Stoffel, Halldór Janetzko and Andreas Weiler and has published in prestigious journals such as Journal of the Association for Information Systems, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Dominik Jäckle

28 papers receiving 314 citations

Peers

Dominik Jäckle
Matthew Ward United States
Charles D. Stolper United States
Beth Hetzler United States
Tarik Crnovrsanin United States
Adrian Rusu United States
David B. Lantrip United States
Aoyu Wu Hong Kong
Matthew Ward United States
Dominik Jäckle
Citations per year, relative to Dominik Jäckle Dominik Jäckle (= 1×) peers Matthew Ward

Countries citing papers authored by Dominik Jäckle

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Jäckle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Jäckle

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Jäckle. A scholar is included among the top collaborators of Dominik Jäckle 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 Dominik Jäckle. Dominik Jäckle 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.
Jäckle, Dominik, et al.. (2023). ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories. IEEE Transactions on Visualization and Computer Graphics. 29(8). 3441–3457. 1 indexed citations
2.
Jäckle, Dominik, et al.. (2022). RfX: A Design Study for the Interactive Exploration of a Random Forest to Enhance Testing Procedures for Electrical Engines. Computer Graphics Forum. 41(6). 302–315. 3 indexed citations
3.
Fuchs, Johannes, et al.. (2022). Motif-Based Visual Analysis of Dynamic Networks. 17–26. 4 indexed citations
4.
Jäckle, Dominik, et al.. (2021). Visual Analytics in Organizational Knowledge Creation: a Case Study. Journal of the Association for Information Systems. 2 indexed citations
5.
Jäckle, Dominik, et al.. (2021). Multiscale Visualization: A Structured Literature Analysis. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4918–4929. 6 indexed citations
6.
Jäckle, Dominik, et al.. (2020). VIMA: Modeling and Visualization of High Dimensional Machine Sensor Data Leveraging Multiple Sources of Domain Knowledge. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4. 22–31. 4 indexed citations
7.
Schneider, B., et al.. (2018). Integrating Data and Model Space in Ensemble Learning by Visual Analytics. IEEE Transactions on Big Data. 7(3). 483–496. 16 indexed citations
8.
Jäckle, Dominik, et al.. (2018). MotionRugs: Visualizing Collective Trends in Space and Time. IEEE Transactions on Visualization and Computer Graphics. 25(1). 76–86. 20 indexed citations
9.
Jäckle, Dominik, et al.. (2018). Distances, Neighborhoods, or Dimensions? : Projection Literacy for the Analysis of Multivariate Data. 1 indexed citations
10.
Jäckle, Dominik, Florian Stoffel, Sebastian Mittelstädt, Daniel A. Keim, & Harald Reiterer. (2017). Interpretation of Dimensionally-reduced Crime Data: A Study with Untrained Domain Experts. KOPS (University of Konstanz). 164–175. 3 indexed citations
11.
Stein, Manuel, et al.. (2015). Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction. ISPRS International Journal of Geo-Information. 4(4). 2159–2184. 28 indexed citations
12.
Mittelstädt, Sebastian, Dominik Jäckle, Florian Stoffel, & Daniel A. Keim. (2015). ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks. KOPS (University of Konstanz). 31 indexed citations
13.
Jäckle, Dominik, et al.. (2015). Integrated Spatial Uncertainty Visualization using Off-screen Aggregation. KOPS (University of Konstanz). 49–53. 4 indexed citations
14.
Jäckle, Dominik, Fabian Fischer, Tobias Schreck, & Daniel A. Keim. (2015). Temporal MDS Plots for Analysis of Multivariate Data. IEEE Transactions on Visualization and Computer Graphics. 22(1). 141–150. 51 indexed citations
15.
Kwon, Bum Chul, Florian Stoffel, Dominik Jäckle, Bongshin Lee, & Daniel A. Keim. (2014). VisJockey : Enriching Data Stories through Orchestrated Interactive Visualization. 19 indexed citations
16.
Janetzko, Halldór, Dominik Jäckle, & Tobias Schreck. (2014). Geo-Temporal Visual Analysis of Customer Feedback Data Based on Self-Organizing Sentiment Maps. 7. 237–246. 1 indexed citations
17.
Stoffel, Florian, Dominik Jäckle, & Daniel A. Keim. (2014). Enhanced News-reading: Interactive and Visual Integration of Social Media Information. Language Resources and Evaluation. 21–28. 1 indexed citations
18.
Stoffel, Andreas, et al.. (2014). State-of-the-Art Report of Visual Analysis for Event Detection in Text Data Streams. Eurographics. 38 indexed citations
19.
Janetzko, Halldór, Dominik Jäckle, Oliver Deußen, & Daniel A. Keim. (2013). Visual abstraction of complex motion patterns. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9017. 90170J–90170J. 4 indexed citations
20.
Janetzko, Halldór, Dominik Jäckle, & Tobias Schreck. (2013). Comparative visual analysis of large customer feedback based on self-organizing sentiment maps. KOPS (University of Konstanz). 12–17. 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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