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.
Associative hierarchical CRFs for object class image segmentation
This map shows the geographic impact of Chris Russell'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 Chris Russell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Russell more than expected).
This network shows the impact of papers produced by Chris Russell. 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 Chris Russell. The network helps show where Chris Russell may publish in the future.
Co-authorship network of co-authors of Chris Russell
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Russell.
A scholar is included among the top collaborators of Chris Russell 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 Chris Russell. Chris Russell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Russell, Chris, et al.. (2022). Translating Images into Maps. 2022 International Conference on Robotics and Automation (ICRA). 9200–9206.92 indexed citations
Andersson, Tom R., J. Scott Hosking, María Pérez‐Ortiz, et al.. (2021). Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications. 12(1). 5124–5124.158 indexed citations breakdown →
8.
Wachter, Sandra, Brent Mittelstadt, & Chris Russell. (2021). Bias Preservation in Machine Learning: The Legality of Fairness Metrics Under EU Non-Discrimination Law. The Research Repository @ WVU (West Virginia University). 123(3). 735.3 indexed citations
9.
Elliott, Andrew, Stephen Law, & Chris Russell. (2019). Adversarial Perturbations on the Perceptual Ball.. arXiv (Cornell University).2 indexed citations
10.
Kusner, Matt J., Chris Russell, Joshua R. Loftus, & Ricardo Silva. (2019). Making Decisions that Reduce Discriminatory Impacts. UCL Discovery (University College London). 3591–3600.4 indexed citations
11.
Law, Stephen, Brooks Paige, & Chris Russell. (2019). Take a Look Around. ACM Transactions on Intelligent Systems and Technology. 10(5). 1–19.114 indexed citations
12.
Russell, Chris, et al.. (2019). Weakly-Supervised 3D Pose Estimation from a Single Image using Multi-View Consistency. Surrey Research Insight Open Access (The University of Surrey). 175.2 indexed citations
13.
Russell, Chris, et al.. (2019). Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions. Neural Information Processing Systems. 32. 1474–1484.1 indexed citations
14.
Law, Stephen, Brooks Paige, & Chris Russell. (2019). Take a Look Around. arXiv (Cornell University).27 indexed citations
15.
Srivastava, Akash, Lazar Valkov, Chris Russell, Michael U. Gutmann, & Charles Sutton. (2017). VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning. Edinburgh Research Explorer (University of Edinburgh). 30. 3308–3318.96 indexed citations
16.
Russell, Chris, Matt J. Kusner, Joshua R. Loftus, & Ricardo Silva. (2017). When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness. Oxford University Research Archive (ORA) (University of Oxford). 30. 6414–6423.53 indexed citations
17.
Roatsch, T., Elke Kersten, Klaus‐Dieter Matz, et al.. (2016). Dawn FC2 Derived Ceres Mosaics V1.0.1 indexed citations
18.
Russell, Chris, et al.. (2013). A Cubesat Mission to Venus: A Low-Cost Approach to the Investigation of Venus Lightning. AGU Fall Meeting Abstracts. 1838. 4004.2 indexed citations
19.
Angelopoulos, V., R. J. Lillis, D. G. Sibeck, et al.. (2010). ARTEMIS, A Two Spacecraft, Planetary and Heliospheric Lunar Mission. Lunar and Planetary Science Conference. 1425.3 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.