Peter Carr

4.4k total citations · 1 hit paper
51 papers, 2.1k citations indexed

About

Peter Carr is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Peter Carr has authored 51 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 12 papers in Economics and Econometrics. Recurrent topics in Peter Carr's work include Video Analysis and Summarization (14 papers), Anomaly Detection Techniques and Applications (12 papers) and Sports Analytics and Performance (12 papers). Peter Carr is often cited by papers focused on Video Analysis and Summarization (14 papers), Anomaly Detection Techniques and Applications (12 papers) and Sports Analytics and Performance (12 papers). Peter Carr collaborates with scholars based in United States, Australia and Canada. Peter Carr's co-authors include Sławomir Bąk, Iain Matthews, Patrick Lucey, James Hays, John Lambert, Andrew T. Hartnett, Jagjeet Singh, Deva Ramanan, Patsorn Sangkloy and Wang De and has published in prestigious journals such as BMC Bioinformatics, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Peter Carr

51 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

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.

Argoverse: 3D Tracking and Forecasting With Rich Maps

2019 882 citations John Lambert, Jagjeet Singh et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Carr United States	22	1.3k	623	441	396	287	51	2.1k
Sang‐Woo Lee South Korea	22	236 0.2×	187 0.3×	215 0.5×	40 0.1×	105 0.4×	113	1.6k
Stephen J. Guy United States	25	1.5k 1.2×	367 0.6×	467 1.1×	22 0.1×	35 0.1×	61	2.6k
Steven Latré Belgium	30	766 0.6×	38 0.1×	339 0.8×	19 0.0×	401 1.4×	212	3.5k
James Orwell United Kingdom	19	1.4k 1.1×	203 0.3×	304 0.7×	31 0.1×	94 0.3×	56	2.0k
Vignesh Ramanathan United States	15	1.8k 1.4×	1.4k 2.3×	1.1k 2.4×	18 0.0×	224 0.8×	29	2.9k
Alan Fern United States	30	697 0.5×	55 0.1×	2.1k 4.8×	123 0.3×	190 0.7×	172	2.9k
Guangyu Zhu China	24	1.1k 0.9×	23 0.0×	410 0.9×	113 0.3×	265 0.9×	89	1.7k
Maria Riveiro Sweden	17	253 0.2×	101 0.2×	370 0.8×	17 0.0×	109 0.4×	64	1.2k
Dimitrios Makris United Kingdom	25	1.6k 1.2×	65 0.1×	620 1.4×	11 0.0×	129 0.4×	97	2.3k
Wei-Ta Chu Taiwan	22	1.3k 1.0×	18 0.0×	383 0.9×	62 0.2×	328 1.1×	141	1.7k

Countries citing papers authored by Peter Carr

Since Specialization

Citations

This map shows the geographic impact of Peter Carr'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 Peter Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Carr more than expected).

Fields of papers citing papers by Peter Carr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Carr. 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 Peter Carr. The network helps show where Peter Carr may publish in the future.

Co-authorship network of co-authors of Peter Carr

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Carr. A scholar is included among the top collaborators of Peter Carr 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 Peter Carr. Peter Carr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wilson, Benjamin, John Lambert, Jagjeet Singh, et al.. (2023). Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting. arXiv (Cornell University). 45 indexed citations

2.

Lucey, Patrick, et al.. (2021). Characterizing Multi-Agent Team Behavior from Partial Team Tracings: Evidence from the English Premier League. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1387–1393. 6 indexed citations

3.

Le, Hoang, Peter Carr, Yisong Yue, & Patrick Lucey. (2017). DATA-DRIVEN GHOSTING USING DEEP IMITATION LEARNING. CaltechAUTHORS (California Institute of Technology). 23 indexed citations

4.

Bąk, Sławomir, et al.. (2017). Groups Re-identification with Temporal Context. 209–217. 2 indexed citations

5.

Bąk, Sławomir & Peter Carr. (2017). Deep Deformable Patch Metric Learning for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 28(10). 2690–2702. 9 indexed citations

6.

Bąk, Sławomir & Peter Carr. (2016). Person re-identification using deformable patch metric learning. 1–9. 15 indexed citations

7.

Le, Hoang, Andrew H. Kang, Yisong Yue, & Peter Carr. (2016). Smooth Imitation Learning for Online Sequence Prediction. arXiv (Cornell University). 680–688. 4 indexed citations

8.

Chen, Jianhui & Peter Carr. (2015). Mimicking Human Camera Operators. 35. 215–222. 22 indexed citations

9.

Wei, Xinyu, Patrick Lucey, Stuart Morgan, et al.. (2015). Predicting Serves in Tennis using Style Priors. 2207–2215. 19 indexed citations

10.

Chen, Jianhui & Peter Carr. (2014). Autonomous Camera Systems: A Survey.. National Conference on Artificial Intelligence. 8 indexed citations

11.

Bialkowski, Alina, Patrick Lucey, Peter Carr, Yisong Yue, & Iain Matthews. (2014). Win at home and draw away: automatic formation analysis highlighting the differences in home and away team behaviors. Queensland's institutional digital repository (The University of Queensland). 31 indexed citations

12.

Carr, Peter, et al.. (2013). One-man-band. 163–172. 11 indexed citations

13.

Wang, Oliver, et al.. (2013). Computational sports broadcasting: Automated director assistance for live sports. 1–6. 17 indexed citations

14.

Lucey, Patrick, et al.. (2013). Assessing team strategy using spatiotemporal data. 1366–1374. 62 indexed citations

15.

Lucey, Patrick, Alina Bialkowski, Peter Carr, et al.. (2013). Representing and Discovering Adversarial Team Behaviors Using Player Roles. 2706–2713. 43 indexed citations

16.

Lucey, Patrick, et al.. (2012). Characterizing multi-agent team behavior from partial team tracings: evidence from the english premier league. QUT ePrints (Queensland University of Technology). 2. 1387–1393. 19 indexed citations

17.

Carr, Peter & Richard Hartley. (2009). Improved Single Image Dehazing Using Geometry. ANU Open Research (Australian National University). 103–110. 52 indexed citations

18.

Carr, Peter & Richard Hartley. (2009). Solving Multilabel Graph Cut Problems with Multilabel Swap. ANU Open Research (Australian National University). 532–539. 10 indexed citations

19.

Carr, Peter, et al.. (2009). Enforcing Monotonic Temporal Evolution in Dry Eye Images. Lecture notes in computer science. 12(Pt 2). 976–984. 10 indexed citations

20.

Carr, Peter, et al.. (2004). Distributed imaging using compound eye sensors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5578. 454–454. 2 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.

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