Jonas Witt

489 total citations
12 papers, 184 citations indexed

About

Jonas Witt is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Jonas Witt has authored 12 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jonas Witt's work include Advanced Vision and Imaging (4 papers), Vehicle Routing Optimization Methods (3 papers) and Robotics and Sensor-Based Localization (3 papers). Jonas Witt is often cited by papers focused on Advanced Vision and Imaging (4 papers), Vehicle Routing Optimization Methods (3 papers) and Robotics and Sensor-Based Localization (3 papers). Jonas Witt collaborates with scholars based in Germany, Australia and United Kingdom. Jonas Witt's co-authors include Matthew Dunbabin, Herbert Werner, Karsten Behrendt, Hasso Plattner, Alexander Zeier, Marco E. Lübbecke, Stephen J. Maher, Thorsten A. Kranz and Bruce Reed and has published in prestigious journals such as Mathematical Programming, Discrete Optimization and RePEc: Research Papers in Economics.

In The Last Decade

Jonas Witt

10 papers receiving 174 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonas Witt Germany	5	97	75	57	28	26	12	184
Duane Davis United States	9	87 0.9×	79 1.1×	119 2.1×	85 3.0×	27 1.0×	26	259
Zhijian He China	7	79 0.8×	14 0.2×	88 1.5×	13 0.5×	17 0.7×	19	168
Haithem Turki United States	6	204 2.1×	15 0.2×	56 1.0×	18 0.6×	11 0.4×	7	294
Juan Camilo Gamboa Higuera Canada	8	102 1.1×	78 1.0×	61 1.1×	44 1.6×	31 1.2×	11	238
Hanseob Lee South Korea	5	181 1.9×	53 0.7×	181 3.2×	40 1.4×	24 0.9×	6	241
Franz Andert Germany	11	170 1.8×	13 0.2×	206 3.6×	21 0.8×	21 0.8×	34	249
Martial Sanfourche France	9	169 1.7×	31 0.4×	178 3.1×	13 0.5×	17 0.7×	19	248
Mariusz Wzorek Sweden	12	168 1.7×	24 0.3×	197 3.5×	79 2.8×	49 1.9×	28	350
Cyrille Berger Sweden	7	205 2.1×	36 0.5×	251 4.4×	52 1.9×	23 0.9×	16	321
Bingyi Cao Germany	6	188 1.9×	9 0.1×	62 1.1×	9 0.3×	11 0.4×	13	251

Countries citing papers authored by Jonas Witt

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Witt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Witt

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Kranz, Thorsten A., et al.. (2023). Human-Centric Parcel Delivery at Deutsche Post with Operations Research and Machine Learning. RePEc: Research Papers in Economics. 53(5). 359–371. 2 indexed citations

2.

Lübbecke, Marco E., Stephen J. Maher, & Jonas Witt. (2021). Avoiding redundant columns by adding classical Benders cuts to column generation subproblems. Discrete Optimization. 39. 100626–100626.

3.

Lübbecke, Marco E., et al.. (2018). A Computational Investigation on the Strength of Dantzig-Wolfe Reformulations. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).

4.

Lübbecke, Marco E. & Jonas Witt. (2018). The strength of Dantzig–Wolfe reformulations for the stable set and related problems. Discrete Optimization. 30. 168–187. 1 indexed citations

5.

Witt, Jonas, Marco E. Lübbecke, & Bruce Reed. (2017). Polyhedral results on the stable set problem in graphs containing even or odd pairs. Mathematical Programming. 171(1-2). 519–522. 1 indexed citations

6.

Behrendt, Karsten & Jonas Witt. (2017). Deep learning lane marker segmentation from automatically generated labels. 777–782. 14 indexed citations

7.

Witt, Jonas, et al.. (2016). Sparse Stereo by Edge-Based Search Using Dynamic Programming. 4 indexed citations

8.

Witt, Jonas, et al.. (2014). Maximally informative surface reconstruction from lines. 2029–2036. 2 indexed citations

9.

Witt, Jonas, et al.. (2013). Robust stereo visual odometry using iterative closest multiple lines. 4164–4171. 24 indexed citations

10.

Witt, Jonas, et al.. (2010). An Aggregating Discovery Service for the EPCglobal Network. 1–9. 21 indexed citations

11.

Witt, Jonas & Matthew Dunbabin. (2009). Go with the flow : optimal AUV path planning in coastal environments. QUT ePrints (Queensland University of Technology). 93 indexed citations

12.

Witt, Jonas, et al.. (2007). Approximate model predictive control of a 3-DOF helicopter. 4501–4506. 22 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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