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.
Evaluation of Interest Point Detectors
2000965 citationsRoger Mohr et al.International Journal of Computer Visionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Roger Mohr'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 Roger Mohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Mohr more than expected).
This network shows the impact of papers produced by Roger Mohr. 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 Roger Mohr. The network helps show where Roger Mohr may publish in the future.
Co-authorship network of co-authors of Roger Mohr
This figure shows the co-authorship network connecting the top 25 collaborators of Roger Mohr.
A scholar is included among the top collaborators of Roger Mohr 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 Roger Mohr. Roger Mohr is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lan, Zhong-Dan & Roger Mohr. (1996). Direct Linear Sub-Pixel Correlation by Incorporating Neighbour Pixels' Information: a Robust and Precise Matching Method. HAL (Le Centre pour la Communication Scientifique Directe).1 indexed citations
Mohr, Roger & Bill Triggs. (1996). Projective Geometry for Image Analysis. HAL (Le Centre pour la Communication Scientifique Directe).36 indexed citations
Mohr, Roger, Luce Morin, & Enrico Grosso. (1992). Relative positioning with uncalibrated cameras. HAL (Le Centre pour la Communication Scientifique Directe). 440–460.15 indexed citations
Mohr, Roger, et al.. (1991). 3-D STRUCTURE INFERENCE FROM IMAGE SEQUENCES. International Journal of Pattern Recognition and Artificial Intelligence. 5(5). 749–764.9 indexed citations
17.
Quan, Long & Roger Mohr. (1990). Using Geometric Model Guided Active Contour Method for Traffic Sign Detection. HAL (Le Centre pour la Communication Scientifique Directe). 417–420.1 indexed citations
18.
Mohr, Roger, et al.. (1988). Matching 3-D images without backtracking through feature grouping. HAL (Le Centre pour la Communication Scientifique Directe). 678–682.3 indexed citations
19.
Mohr, Roger, et al.. (1984). Planes and Quadrics Detection Using Hough Transform. HAL (Le Centre pour la Communication Scientifique Directe).25 indexed citations
20.
Mohr, Roger & Ruzena Bajcsy. (1983). Packing Volumes by Spheres. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-5(1). 111–116.14 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.