This map shows the geographic impact of Gerhard Paar'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 Gerhard Paar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Paar more than expected).
This network shows the impact of papers produced by Gerhard Paar. 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 Gerhard Paar. The network helps show where Gerhard Paar may publish in the future.
Co-authorship network of co-authors of Gerhard Paar
This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Paar.
A scholar is included among the top collaborators of Gerhard Paar 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 Gerhard Paar. Gerhard Paar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barnes, Robert, Sanjeev Gupta, M. Gunn, et al.. (2017). Application of PRo3D to Quantitative Analysis of Stereo-Imagery Collected During the Mars Utah Rover Field Investigation (MURFI) Analogue Rover Trials. Lunar and Planetary Science Conference. 2452.
9.
Barnes, Robert, Sanjeev Gupta, M. Giordano, et al.. (2015). Geological interpretation and analysis of surface based, spatially referenced planetary imagery data using PRoGIS 2.0 and Pro3D.. elib (German Aerospace Center).2 indexed citations
10.
Traxler, Christoph, et al.. (2015). A virtual environment for the accurate geologic analysis of Martian terrain. EGU General Assembly Conference Abstracts. 10346.2 indexed citations
11.
Winnendael, M. van, J. L. Josset, David Barnes, et al.. (2014). SAFER: The promising results of the Mars mission simulation campaign in Atacama, Chile. Open Research Online (The Open University). 15(4). 237–239.4 indexed citations
12.
Traxler, Christoph, Gerd Hesina, Sanjeev Gupta, & Gerhard Paar. (2014). An Interactive Virtual 3D Tool for Scientific Exploration of Planetary Surfaces. EGU General Assembly Conference Abstracts. 12038.2 indexed citations
13.
Gupta, Sanjeev, Gerhard Paar, Jan‐Peter Müller, et al.. (2014). Fusion and Visualization of HiRISE Super-Resolution, Shape-from-Shading DTM with MER Stereo 3D Reconstructions. 2014 AGU Fall Meeting. 2014.2 indexed citations
14.
Li, Rongxing, Kaichang Di, Gerhard Paar, et al.. (2013). Experimental Results of Geometric Modelling and Accuracy Assessment of an ExoMars Rover PanCam Prototype. Lunar and Planetary Science Conference. 2779.1 indexed citations
15.
Barnes, Dave, Martin C. Wilding, M. Gunn, et al.. (2011). The PanCam Calibration Target (PCT) and multispectral image processing for the ExoMars 2018 mission. 2011. 289.4 indexed citations
16.
Li, Rongxing, Mincong Tang, Ping Tang, et al.. (2010). ESA ExoMars Rover Localization and Topographic Mapping: Pre-Launch PanCam Modeling and Error Analysis. elib (German Aerospace Center). 1819.2 indexed citations
17.
Paar, Gerhard, et al.. (2009). 3D Vision Ground Processing Workflow For The Panoramic Camera On ESA's Exomars Mission 2016. UCL Discovery (University College London).1 indexed citations
18.
Schmitz, Nicole, David Barnes, A. J. Coates, et al.. (2009). Field Test of the ExoMars Panoramic Camera in the High Arctic - First Results and Lessons Learned. EGUGA. 10621.2 indexed citations
19.
Kolesnik, Marina, et al.. (1998). Algorithmic Solution for Autonomous Vision-Based Off-Road Navigation.. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3364. 230–247.1 indexed citations
20.
Paar, Gerhard, et al.. (1996). Stereo vision and 3D reconstruction on a processor network. TNO Repository. 9(3). 97–111.1 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.