Martin Garbade

10 total papers · 407 total citations
4 papers, 107 citations indexed

About

Martin Garbade is a scholar working on Environmental Engineering, Geology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Garbade has authored 4 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Environmental Engineering, 2 papers in Geology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Martin Garbade's work include Remote Sensing and LiDAR Applications (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Geographic Information Systems Studies (1 paper). Martin Garbade is often cited by papers focused on Remote Sensing and LiDAR Applications (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Geographic Information Systems Studies (1 paper). Martin Garbade collaborates with scholars based in Germany. Martin Garbade's co-authors include Jan Quenzel, Jens Behley, Andres Milioto, Sven Behnke, Cyrill Stachniss, Jürgen Gall and Jüergen Gall and has published in prestigious journals such as The International Journal of Robotics Research and arXiv (Cornell University).

In The Last Decade

Martin Garbade

4 papers receiving 104 citations

Author Peers

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

Author						Papers	Cites
Martin Garbade	74	42	39	32	31	4	107
Ahmad El Sallab	112 1.5×	46 1.1×	35 0.9×	17 0.5×	21 0.7×	4	141
Hazem Rashed	141 1.9×	59 1.4×	35 0.9×	15 0.5×	17 0.5×	8	181
Hugues Thomas	38 0.5×	27 0.6×	88 2.3×	86 2.7×	71 2.3×	8	144
Tai Wang	161 2.2×	84 2.0×	47 1.2×	44 1.4×	52 1.7×	8	225
Shuda Li	138 1.9×	62 1.5×	11 0.3×	20 0.6×	27 0.9×	7	157
Russ Webb	113 1.5×	39 0.9×	9 0.2×	26 0.8×	21 0.7×	2	153
Jean Lahoud	168 2.3×	87 2.1×	34 0.9×	52 1.6×	37 1.2×	7	233
Haiyue Wei	174 2.4×	93 2.2×	25 0.6×	25 0.8×	16 0.5×	8	249
Rui Zhu	194 2.6×	60 1.4×	22 0.6×	36 1.1×	40 1.3×	8	223
FRANCIS H. WILLIAMS	32 0.4×	20 0.5×	22 0.6×	24 0.8×	35 1.1×	5	122

Countries citing papers authored by Martin Garbade

Since Specialization

Citations

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

Fields of papers citing papers by Martin Garbade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Garbade

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Garbade. A scholar is included among the top collaborators of Martin Garbade 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 Martin Garbade. Martin Garbade 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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