Pascal Gohl

2.5k total citations · 1 hit paper
7 papers, 1.6k citations indexed

About

Pascal Gohl is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Pascal Gohl has authored 7 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 3 papers in Geology. Recurrent topics in Pascal Gohl's work include Robotics and Sensor-Based Localization (6 papers), Advanced Vision and Imaging (4 papers) and Robotic Path Planning Algorithms (4 papers). Pascal Gohl is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Advanced Vision and Imaging (4 papers) and Robotic Path Planning Algorithms (4 papers). Pascal Gohl collaborates with scholars based in Switzerland and United States. Pascal Gohl's co-authors include Roland Siegwart, Michael Burri, Janosch Nikolic, Joern Rehder, Sammy Omari, Markus Achtelik, Thomas Schneider, Paul Furgale, Stefan Leutenegger and Michael Bloesch and has published in prestigious journals such as The International Journal of Robotics Research and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Pascal Gohl

7 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The EuRoC micro aerial vehicle datasets

2016 1.3k citations Michael Burri, Janosch Nikolic et al. The International Journal of Robotics Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Gohl Switzerland	7	1.5k	1.1k	500	377	121	7	1.6k
Thomas Schneider Switzerland	7	1.7k 1.2×	1.2k 1.1×	600 1.2×	485 1.3×	144 1.2×	11	1.8k
Matia Pizzoli Switzerland	8	1.8k 1.2×	1.5k 1.4×	526 1.1×	365 1.0×	147 1.2×	9	2.0k
Janosch Nikolic Switzerland	13	1.9k 1.3×	1.4k 1.3×	628 1.3×	511 1.4×	162 1.3×	19	2.2k
Bastian Steder Germany	17	1.2k 0.8×	911 0.8×	385 0.8×	295 0.8×	96 0.8×	23	1.4k
Mingyang Li China	21	1.8k 1.2×	935 0.8×	369 0.7×	919 2.4×	149 1.2×	65	2.0k
Gabe Sibley United States	17	1.1k 0.8×	930 0.8×	228 0.5×	284 0.8×	78 0.6×	27	1.2k
Joel A. Hesch United States	16	982 0.7×	788 0.7×	195 0.4×	349 0.9×	112 0.9×	22	1.2k
Patrick Geneva United States	20	1.5k 1.0×	864 0.8×	588 1.2×	499 1.3×	116 1.0×	36	1.6k
Joern Rehder Switzerland	11	2.4k 1.6×	1.7k 1.5×	775 1.6×	648 1.7×	193 1.6×	12	2.6k
Jürgen Hess Germany	8	1.1k 0.7×	928 0.8×	414 0.8×	187 0.5×	47 0.4×	10	1.3k

Countries citing papers authored by Pascal Gohl

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Gohl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Gohl

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Gohl. A scholar is included among the top collaborators of Pascal Gohl 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 Pascal Gohl. Pascal Gohl 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:

7 of 7 papers shown

1.

Burri, Michael, Janosch Nikolic, Pascal Gohl, et al.. (2016). The EuRoC micro aerial vehicle datasets. The International Journal of Robotics Research. 35(10). 1157–1163. 1251 indexed citations breakdown →

2.

Gohl, Pascal, Dominik Honegger, Sammy Omari, et al.. (2015). Omnidirectional visual obstacle detection using embedded FPGA. 3938–3943. 28 indexed citations

3.

Omari, Sammy, Michael Bloesch, Pascal Gohl, & Roland Siegwart. (2015). Dense visual-inertial navigation system for mobile robots. 2634–2640. 24 indexed citations

4.

Omari, Sammy, Pascal Gohl, Michael Burri, Markus Achtelik, & Roland Siegwart. (2014). Visual industrial inspection using aerial robots. 1–5. 41 indexed citations

5.

Nikolic, Janosch, Joern Rehder, Michael Burri, et al.. (2014). A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM. Repository for Publications and Research Data (ETH Zurich). 431–437. 194 indexed citations

6.

Alonso–Mora, Javier, et al.. (2014). Shared control of autonomous vehicles based on velocity space optimization. 1639–1645. 17 indexed citations

7.

Gohl, Pascal, Michael Burri, Sammy Omari, et al.. (2014). Towards autonomous mine inspection. 1–6. 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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