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.
A solution to the simultaneous localization and map building (SLAM) problem
This map shows the geographic impact of Paul Newman'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 Paul Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Newman more than expected).
This network shows the impact of papers produced by Paul Newman. 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 Paul Newman. The network helps show where Paul Newman may publish in the future.
Co-authorship network of co-authors of Paul Newman
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Newman.
A scholar is included among the top collaborators of Paul Newman 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 Paul Newman. Paul Newman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Gadd, Matthew, Daniele De Martini, Paul Murcutt, et al.. (2024). OORD: The Oxford Offroad Radar Dataset. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18779–18790.9 indexed citations
Barnes, Dan, Matthew Gadd, Paul Murcutt, Paul Newman, & Ingmar Posner. (2020). The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. 6433–6438.280 indexed citations breakdown →
6.
Newman, Paul, et al.. (2019). Reducing Steganography In Cycle-consistency GANs. Computer Vision and Pattern Recognition. 78–82.2 indexed citations
Maddern, Will, et al.. (2016). 1 year, 1000 km: The Oxford RobotCar dataset. The International Journal of Robotics Research. 36(1). 3–15.962 indexed citations breakdown →
Smith, Mike, Ingmar Posner, & Paul Newman. (2011). Adaptive compression for 3D laser data. The International Journal of Robotics Research. 30(7). 914–935.16 indexed citations
15.
Cummins, Mark & Paul Newman. (2010). FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model. Oxford University Research Archive (ORA) (University of Oxford). 3–10.23 indexed citations
16.
Dikolli, Shane S., et al.. (2009). Performance Measure Aggregation, Career Incentives, and Explicit Incentives. SSRN Electronic Journal.
17.
Newman, Paul, et al.. (2009). Data Papers - Peer Reviewed Publication of High Quality Data Sets. The International Journal of Robotics Research. 28(5).4 indexed citations
Leonard, John J. & Paul Newman. (2003). Consistent, convergent, and constant-time SLAM. Oxford University Research Archive (ORA) (University of Oxford). 1143–1150.85 indexed citations
20.
Newman, Paul. (1999). On the Structure and Solution of the Simultaneous Localisation and Map Building Problem.132 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.