Gisbert Lawitzky

39 total papers · 407 total citations
14 papers, 222 citations indexed

About

Gisbert Lawitzky is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Gisbert Lawitzky has authored 14 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Control and Systems Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Gisbert Lawitzky's work include Robotic Path Planning Algorithms (8 papers), Robotics and Automated Systems (8 papers) and Robotics and Sensor-Based Localization (8 papers). Gisbert Lawitzky is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Robotics and Automated Systems (8 papers) and Robotics and Sensor-Based Localization (8 papers). Gisbert Lawitzky collaborates with scholars based in Germany. Gisbert Lawitzky's co-authors include Wendelin Feiten, Erwin Prassler, Gerhard Grunwald, W. von Seelen, R. Dillmann, Martin Hägele, Wolfgang Neubauer, Bernhard Nebel, Rainer Bischoff and Georg von Wichert and has published in prestigious journals such as Robotics and Autonomous Systems, Autonomous Robots and Industrial Robot the international journal of robotics research and application.

In The Last Decade

Gisbert Lawitzky

13 papers receiving 204 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gisbert Lawitzky	166	105	87	39	36	14	222
Manuel A. Ruiz Garcia	106 0.6×	99 0.9×	56 0.6×	42 1.1×	31 0.9×	18	262
Johannes Pellenz	142 0.9×	143 1.4×	59 0.7×	26 0.7×	37 1.0×	21	238
Sharon Laubach	153 0.9×	140 1.3×	68 0.8×	30 0.8×	49 1.4×	18	274
Èric Pairet	140 0.8×	75 0.7×	111 1.3×	24 0.6×	18 0.5×	18	278
Jeff Hyams	192 1.2×	119 1.1×	55 0.6×	37 0.9×	56 1.6×	7	294
Khelifa Baizid	116 0.7×	53 0.5×	164 1.9×	31 0.8×	49 1.4×	20	278
Jonatan Ginés	130 0.8×	73 0.7×	71 0.8×	24 0.6×	42 1.2×	13	259
T. Skewis	242 1.5×	163 1.6×	101 1.2×	59 1.5×	26 0.7×	8	269
E. Tunstel	176 1.1×	129 1.2×	108 1.2×	47 1.2×	79 2.2×	22	329
Dave Hershberger	183 1.1×	117 1.1×	105 1.2×	19 0.5×	57 1.6×	8	294

Countries citing papers authored by Gisbert Lawitzky

Since Specialization

Citations

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

Fields of papers citing papers by Gisbert Lawitzky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gisbert Lawitzky

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

All Works

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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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