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.
Direct least square fitting of ellipses
19992.0k citationsAndrew Fitzgibbon, Robert B. Fisher et al.profile →
Estimating 3-D rigid body transformations: a comparison of four major algorithms
1997564 citationsDaniel Eggert, Robert B. Fisher et al.profile →
An experimental comparison of range image segmentation algorithms
1996554 citationsDaniel Eggert, Andrew Fitzgibbon et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Robert B. Fisher
Since
Specialization
Citations
This map shows the geographic impact of Robert B. Fisher'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 Robert B. Fisher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert B. Fisher more than expected).
Fields of papers citing papers by Robert B. Fisher
This network shows the impact of papers produced by Robert B. Fisher. 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 Robert B. Fisher. The network helps show where Robert B. Fisher may publish in the future.
Co-authorship network of co-authors of Robert B. Fisher
This figure shows the co-authorship network connecting the top 25 collaborators of Robert B. Fisher.
A scholar is included among the top collaborators of Robert B. Fisher 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 Robert B. Fisher. Robert B. Fisher is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Spampinato, Concetto, Simone Palazzo, Bas Boom, & Robert B. Fisher. (2014). Overview of the LifeCLEF 2014 Fish Task. CLEF (Working Notes). 616–624.1 indexed citations
8.
Aldridge, Roger Benjamin, et al.. (2011). The 'ABCD' mnemonic does not function as a useful guide in assisting novices with the diagnosis of melanoma. British Journal of Dermatology. 165. 55–56.1 indexed citations
Eggert, Daniel, Andrew Fitzgibbon, Robert B. Fisher, & Andrew Fitzgibbon. (1998). Simultaneous Registration of Multiple Range Views Satisfying Global Consistency Constraints For Use In Reverse Engineering. Computer Vision and Image Understanding. 69.11 indexed citations
14.
Werghi, Naoufel, et al.. (1997). Improving model shape acquisition by incorporating geometric constraints.. British Machine Vision Conference.5 indexed citations
15.
Fisher, Robert B., et al.. (1997). Segmentation of Range Data into Rigid Subsets using Planar Surface Patches.. British Machine Vision Conference.4 indexed citations
16.
Taylor, et al.. (1996). Finding orientated line patterns in digital mammographic images. British Machine Vision Conference.1 indexed citations
17.
Fisher, Robert B., et al.. (1994). Free-Form Surface Matching for Surface Inspection. 119–136.14 indexed citations
18.
Fisher, Robert B. & Mark J. L. Orr. (1989). Experiments with a network-based geometric reasoning engine. International Joint Conference on Artificial Intelligence. 1623–1628.1 indexed citations
19.
Fisher, Robert B.. (1987). Model invocation for three dimensional scene understanding. International Joint Conference on Artificial Intelligence. 805–807.6 indexed citations
20.
Fisher, Robert B.. (1983). Using surfaces and object models to recognize partially obscured objects. International Joint Conference on Artificial Intelligence. 989–995.12 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.