Florian Stoffel

785 total citations
29 papers, 527 citations indexed

About

Florian Stoffel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Florian Stoffel has authored 29 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Florian Stoffel's work include Data Visualization and Analytics (21 papers), Video Analysis and Summarization (6 papers) and Data Analysis with R (5 papers). Florian Stoffel is often cited by papers focused on Data Visualization and Analytics (21 papers), Video Analysis and Summarization (6 papers) and Data Analysis with R (5 papers). Florian Stoffel collaborates with scholars based in Germany, United States and United Kingdom. Florian Stoffel's co-authors include Daniel A. Keim, Bum Chul Kwon, Dominik Sacha, Geoffrey Ellis, Andreas Stoffel, Sebastian Mittelstädt, Halldór Janetzko, Dominik Jäckle, Fabian Fischer and Christian Rohrdantz and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Language Resources and Evaluation.

In The Last Decade

Florian Stoffel

29 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Stoffel Germany	10	352	198	84	58	37	29	527
Sebastian Mittelstädt Germany	12	296 0.8×	158 0.8×	98 1.2×	20 0.3×	40 1.1×	22	482
Honghui Mei China	11	389 1.1×	166 0.8×	80 1.0×	60 1.0×	9 0.2×	14	611
Aritra Dasgupta United States	15	385 1.1×	258 1.3×	84 1.0×	72 1.2×	13 0.4×	40	606
Kai Xu Australia	14	341 1.0×	127 0.6×	101 1.2×	47 0.8×	22 0.6×	65	576
Yao Ming China	10	237 0.7×	311 1.6×	39 0.5×	14 0.2×	32 0.9×	30	530
Fred Hohman United States	12	332 0.9×	415 2.1×	60 0.7×	29 0.5×	26 0.7×	24	808
Leishi Zhang United Kingdom	13	430 1.2×	285 1.4×	153 1.8×	37 0.6×	5 0.1×	46	666
Alper Sarıkaya United States	8	215 0.6×	115 0.6×	49 0.6×	29 0.5×	10 0.3×	11	392
Theresia Gschwandtner Austria	13	465 1.3×	228 1.2×	129 1.5×	65 1.1×	5 0.1×	36	651
Geoffrey Ellis United Kingdom	11	586 1.7×	242 1.2×	128 1.5×	90 1.6×	5 0.1×	17	801

Countries citing papers authored by Florian Stoffel

Since Specialization

Citations

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

Fields of papers citing papers by Florian Stoffel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Stoffel

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Stoffel. A scholar is included among the top collaborators of Florian Stoffel 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 Florian Stoffel. Florian Stoffel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Behrisch, Michael, Florian Stoffel, Daniel Seebacher, et al.. (2018). Commercial Visual Analytics Systems–Advances in the Big Data Analytics Field. IEEE Transactions on Visualization and Computer Graphics. 25(10). 3011–3031. 29 indexed citations

Sacha, Dominik, et al.. (2018). Making machine intelligence less scary for criminal analysts: reflections on designing a visual comparative case analysis tool. The Visual Computer. 34(9). 1225–1241. 12 indexed citations

Stoffel, Florian, et al.. (2018). polimaps: Supporting Predictive Policing with Visual Analytics. KOPS (University of Konstanz). 43–48. 2 indexed citations

Stoffel, Florian, et al.. (2018). Minions, Sheep, and Fruits : Metaphorical Narratives to Explain Artificial Intelligence and Build Trust. KOPS (University of Konstanz). 3 indexed citations

Bode, Felix J., et al.. (2018). Predictive Policing in Germany. KOPS (University of Konstanz). 4 indexed citations

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

Bode, Felix J., Florian Stoffel, & Daniel A. Keim. (2017). Variabilität und Validität von Qualitätsmetriken im Bereich von Predictive Policing. KOPS (University of Konstanz). 1 indexed citations

Sacha, Dominik, et al.. (2017). Applying Visual Interactive Dimensionality Reduction to Criminal Intelligence Analysis. 2 indexed citations

Sacha, Dominik, et al.. (2017). Visual Comparative Case Analytics. Middlesex University Research Repository (Middlesex University Of London). 49–54. 1 indexed citations

10.

Stoffel, Florian, et al.. (2017). Interactive Ambiguity Resolution of Named Entities in Fictional Literature. Computer Graphics Forum. 36(3). 189–200. 5 indexed citations

11.

Zhang, Leishi, Chris Rooney, Lev Nachmanson, et al.. (2016). Spherical Similarity Explorer for Comparative Case Analysis. Electronic Imaging. 28(1). 1–10. 4 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.

Stoffel, Florian, Dominik Sacha, Geoffrey Ellis, & Daniel A. Keim. (2015). VAPD : A Visionary System for Uncertainty Aware Decision Making in Crime Analysis. KOPS (University of Konstanz). 1 indexed citations

14.

Kwon, Bum Chul, Florian Stoffel, Dominik Jäckle, Bongshin Lee, & Daniel A. Keim. (2014). VisJockey : Enriching Data Stories through Orchestrated Interactive Visualization. 19 indexed citations

15.

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

16.

Fischer, Fabian, Florian Stoffel, Sebastian Mittelstädt, Tobias Schreck, & Daniel A. Keim. (2014). Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). KOPS (University of Konstanz). 301–302. 1 indexed citations

17.

Fischer, Fabian & Florian Stoffel. (2014). NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3). 373–374. 3 indexed citations

18.

Stoffel, Florian, Fabian Fischer, & Daniel A. Keim. (2013). Finding anomalies in time-series using visual correlation for interactive root cause analysis. KOPS (University of Konstanz). 65–72. 12 indexed citations

19.

Janetzko, Halldór, Florian Stoffel, Sebastian Mittelstädt, & Daniel A. Keim. (2013). Anomaly detection for visual analytics of power consumption data. Computers & Graphics. 38. 27–37. 79 indexed citations

20.

Hao, Ming, Christian Rohrdantz, Halldór Janetzko, et al.. (2013). Visual sentiment analysis of customer feedback streams using geo-temporal term associations. Information Visualization. 12(3-4). 273–290. 27 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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