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.
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
20191.7k citationsJacques‐Donald Tournier, Robert E. Smith et al.NeuroImageprofile →
Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information
2012780 citationsRobert E. Smith, Jacques‐Donald Tournier et al.NeuroImageprofile →
SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography
2015437 citationsRobert E. Smith, Jacques‐Donald Tournier et al.NeuroImageprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Robert E. Smith
Since
Specialization
Citations
This map shows the geographic impact of Robert E. Smith'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 E. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Smith more than expected).
This network shows the impact of papers produced by Robert E. Smith. 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 E. Smith. The network helps show where Robert E. Smith may publish in the future.
Co-authorship network of co-authors of Robert E. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. Smith.
A scholar is included among the top collaborators of Robert E. Smith 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 E. Smith. Robert E. Smith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tournier, Jacques‐Donald, Robert E. Smith, David Raffelt, et al.. (2019). MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage. 202. 116137–116137.1682 indexed citations breakdown →
Smith, Robert E., Jacques‐Donald Tournier, Fernando Calamante, & Alan Connelly. (2015). SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography. NeuroImage. 119. 338–351.437 indexed citations breakdown →
Smith, Robert E., Jacques‐Donald Tournier, Fernando Calamante, & Alan Connelly. (2012). Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information. NeuroImage. 62(3). 1924–1938.780 indexed citations breakdown →
11.
Brown, Martin & Robert E. Smith. (2005). Directed Multi-Objective Optimization. UCL Discovery (University College London). 6. 3–12.37 indexed citations
12.
Smith, Robert E., et al.. (1999). What Can I Do with a Learning Classifier System. Dialnet (Universidad de la Rioja). 299–320.1 indexed citations
13.
Smith, Robert E. & James E. Smith. (1998). An examination of tuneable, random search landscapes. UWE Research Repository (UWE Bristol). 165–181.17 indexed citations
Smith, Robert E.. (1991). Default hierarchy formation and memory exploitation in learning classifier systems.7 indexed citations
17.
Smith, Robert E. & Manuel Valenzuela-Rendón. (1989). A Study of Rule Set Development in a Learning Classifier System. international conference on Genetic algorithms. 340–346.8 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.