Christopher R. Dance

2.6k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Christopher R. Dance is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Christopher R. Dance has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Christopher R. Dance's work include Auction Theory and Applications (5 papers), Smart Parking Systems Research (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Christopher R. Dance is often cited by papers focused on Auction Theory and Applications (5 papers), Smart Parking Systems Research (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Christopher R. Dance collaborates with scholars based in France, United Kingdom and United States. Christopher R. Dance's co-authors include Florent Perronnin, Guillaume Bouchard, Sebastian Riedel, Éric Gaussier, Théo Trouillon, Johannes Welbl, Matthias Seeger, M. J. Taylor, William M. Newman and Tomi Silander and has published in prestigious journals such as Journal of Machine Learning Research, Pattern Recognition Letters and Image and Vision Computing.

In The Last Decade

Christopher R. Dance

26 papers receiving 1.3k 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.

Fisher Kernels on Visual Vocabularies for Image Categorization

2007 991 citations Christopher R. Dance et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher R. Dance France	10	1.1k	374	199	149	61	28	1.4k
Matthew Johnson United States	12	776 0.7×	357 1.0×	103 0.5×	76 0.5×	60 1.0×	37	1.2k
Dhruv Mahajan United States	22	1.1k 1.0×	423 1.1×	215 1.1×	36 0.2×	60 1.0×	49	1.5k
Congyan Lang China	16	901 0.8×	392 1.0×	105 0.5×	74 0.5×	68 1.1×	107	1.2k
Timothée Cour United States	10	1.0k 1.0×	392 1.0×	205 1.0×	72 0.5×	75 1.2×	12	1.3k
Siliang Tang China	22	934 0.9×	705 1.9×	143 0.7×	37 0.2×	54 0.9×	122	1.6k
Shahab Kamali United States	8	1.1k 1.0×	652 1.7×	87 0.4×	83 0.6×	50 0.8×	13	1.6k
Konstantinos Bousmalis United Kingdom	9	1.0k 0.9×	783 2.1×	126 0.6×	52 0.3×	98 1.6×	16	1.5k

Countries citing papers authored by Christopher R. Dance

Since Specialization

Citations

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

Fields of papers citing papers by Christopher R. Dance

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. Dance. 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 Christopher R. Dance. The network helps show where Christopher R. Dance may publish in the future.

Co-authorship network of co-authors of Christopher R. Dance

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

All Works

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20 of 20 papers shown

Dance, Christopher R.. (2022). A counterexample to analyticity in frictional dynamics. ESAIM. Mathematical modelling and numerical analysis. 56(4). 1437–1449.

Grbovic, Mihajlo, Christopher R. Dance, & Slobodan Vučetić. (2021). Sparse Principal Component Analysis with Constraints. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 935–941. 4 indexed citations

Dance, Christopher R., et al.. (2019). Improving the Generalization of Visual Navigation Policies using Invariance Regularization. 2 indexed citations

Trouillon, Théo, Christopher R. Dance, Éric Gaussier, et al.. (2017). Knowledge graph completion via complex tensor factorization. arXiv (Cornell University). 18(1). 4735–4772. 131 indexed citations

Dance, Christopher R., et al.. (2016). To Demarcate or Not to Demarcate: Analysis of Marked Versus Unmarked On-Street Parking Efficiency. Transportation Research Record Journal of the Transportation Research Board. 2562(1). 18–27. 4 indexed citations

Zoeter, Onno, et al.. (2015). Dynamic mechanism design with interdependent valuations. Review of Economic Design. 19(3). 211–228. 2 indexed citations

Dance, Christopher R. & Tomi Silander. (2015). When are Kalman-filter restless bandits indexable?. arXiv (Cornell University). 28. 1711–1719. 2 indexed citations

Dance, Christopher R.. (2014). Lean Smart Parking. 30(6). 4 indexed citations

Zoeter, Onno, Christopher R. Dance, Stéphane Clinchant, & Jean‐Marc Andreoli. (2014). New algorithms for parking demand management and a city-scale deployment. 1819–1828. 14 indexed citations

10.

Zoeter, Onno, et al.. (2012). A General Noise Resolution Model for Parking Occupancy Sensors. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific. 4 indexed citations

11.

Zoeter, Onno, et al.. (2012). Dynamic Mechanism Design for Markets with Strategic Resources. arXiv (Cornell University). 539–546. 1 indexed citations

12.

Dance, Christopher R., et al.. (2005). Color reconstruction in digital cameras: optimization for document images. International Journal on Document Analysis and Recognition (IJDAR). 7(2-3). 138–146.

13.

Dance, Christopher R., et al.. (2004). Categorizing Nine Visual Classes Using Local Appearance Descriptors. 79 indexed citations

14.

Seeger, Matthias & Christopher R. Dance. (2002). Binarising camera images for OCR. 54–58. 38 indexed citations

15.

Lovell, David, Christopher R. Dance, Mahesan Niranjan, Richard W. Prager, & Kevin J. Dalton. (2002). Using upper bounds on attainable discrimination to select discrete valued features. 233–242. 4 indexed citations

16.

Dance, Christopher R.. (2001). <title>Perspective estimation for document images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4670. 244–254. 30 indexed citations

17.

Newman, William M., Alex Taylor, Christopher R. Dance, & Stuart A. Taylor. (2000). Performance targets, models and innovation in interactive system design. 381–387. 5 indexed citations

18.

Taylor, Michael, et al.. (1999). Documents through cameras. Image and Vision Computing. 17(11). 831–844. 12 indexed citations

19.

Taylor, M. J. & Christopher R. Dance. (1998). <title>Enhancement of document images from cameras</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3305. 230–241. 21 indexed citations

20.

Lovell, David, Christopher R. Dance, Mahesan Niranjan, et al.. (1998). Feature selection using expected attainable discrimination. Pattern Recognition Letters. 19(5-6). 393–402. 9 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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