John MacCormick

3.4k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

John MacCormick is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, John MacCormick has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in John MacCormick's work include Advanced Data Storage Technologies (6 papers), Advanced Vision and Imaging (6 papers) and Distributed systems and fault tolerance (5 papers). John MacCormick is often cited by papers focused on Advanced Data Storage Technologies (6 papers), Advanced Vision and Imaging (6 papers) and Distributed systems and fault tolerance (5 papers). John MacCormick collaborates with scholars based in United States, United Kingdom and India. John MacCormick's co-authors include Michael Isard, Andrew Blake, Andrew Blake, James M. Rehg, Vladimir Pavlović, Lidong Zhou, Chandramohan A. Thekkath, J.L. Sullivan, Nicholas A. Murphy and Marc Najork and has published in prestigious journals such as International Journal of Computer Vision, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and ACM SIGOPS Operating Systems Review.

In The Last Decade

John MacCormick

34 papers receiving 1.6k 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.

BraMBLe: a Bayesian multiple-blob tracker

2002 449 citations Michael Isard, John MacCormick profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John MacCormick United States	19	1.1k	588	348	196	152	37	1.8k
Yuewei Dai China	21	1.0k 1.0×	668 1.1×	278 0.8×	157 0.8×	128 0.8×	134	1.9k
Yingying Zhu China	23	849 0.8×	397 0.7×	272 0.8×	199 1.0×	75 0.5×	93	1.6k
Xu Jia China	17	1.9k 1.8×	407 0.7×	248 0.7×	158 0.8×	176 1.2×	65	2.5k
Gang Qian United States	18	749 0.7×	273 0.5×	90 0.3×	166 0.8×	86 0.6×	76	1.4k
Barry Brumitt United States	15	1.9k 1.8×	346 0.6×	417 1.2×	293 1.5×	63 0.4×	22	2.5k
Zhonglong Zheng China	20	720 0.7×	337 0.6×	119 0.3×	85 0.4×	144 0.9×	144	1.4k
Pengcheng Wei China	18	585 0.5×	298 0.5×	296 0.9×	132 0.7×	260 1.7×	72	1.3k
Yingjie Xia China	22	703 0.7×	487 0.8×	312 0.9×	63 0.3×	271 1.8×	117	1.7k
Francesco G. B. De Natale Italy	23	1.4k 1.3×	373 0.6×	157 0.5×	210 1.1×	67 0.4×	194	2.2k

Countries citing papers authored by John MacCormick

Since Specialization

Citations

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

Fields of papers citing papers by John MacCormick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John MacCormick

This figure shows the co-authorship network connecting the top 25 collaborators of John MacCormick. A scholar is included among the top collaborators of John MacCormick 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 John MacCormick. John MacCormick 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

1.

MacCormick, John. (2020). Nine Algorithms That Changed the Future. Princeton University Press eBooks. 1 indexed citations

2.

MacCormick, John. (2018). What Can Be Computed?. Princeton University Press eBooks. 1 indexed citations

3.

MacCormick, John. (2018). What Can Be Computed?. Princeton University Press eBooks. 1 indexed citations

4.

Aguilera, Marcos K., Mark Lillibridge, John MacCormick, et al.. (2018). Block-Level Security for Network-Attached Disks. Figshare. 159–174. 2 indexed citations

5.

MacCormick, John. (2013). Video chat with multiple cameras. 195–198. 7 indexed citations

6.

MacCormick, John. (2012). Nine Algorithms That Changed the Future. Princeton University Press eBooks. 18 indexed citations

7.

MacCormick, John. (2011). Nine Algorithms That Changed the Future. Princeton University Press eBooks. 3 indexed citations

8.

MacCormick, John, et al.. (2009). Fast superpixels for video analysis. 1–8. 16 indexed citations

9.

Isard, Michael, John MacCormick, & Kannan Achan. (2008). Continuously-adaptive discretization for message-passing algorithms. Neural Information Processing Systems. 21. 737–744. 15 indexed citations

10.

Bahl, Paramvir, Paul Barham, Richard Black, et al.. (2006). Discovering Dependencies for Network Management.. 32 indexed citations

11.

Erlingsson, Úlfar & John MacCormick. (2006). Ad hoc extensibility and access control. ACM SIGOPS Operating Systems Review. 40(3). 93–101. 3 indexed citations

12.

Isard, Michael & John MacCormick. (2005). Dense motion and disparity estimation via loopy belief propagation. 2 indexed citations

13.

Williams, Oliver, Michael Isard, & John MacCormick. (2005). Estimating Disparity and Occlusions in Stereo Video Sequences. 2. 250–257. 22 indexed citations

14.

MacCormick, John, Nicholas A. Murphy, Marc Najork, Chandramohan A. Thekkath, & Lidong Zhou. (2004). Boxwood: abstractions as the foundation for storage infrastructure. Operating Systems Design and Implementation. 8–8. 135 indexed citations

15.

Chang, Fay W., et al.. (2002). Myriad: cost-effective disaster tolerance. File and Storage Technologies. 8–8. 45 indexed citations

16.

MacCormick, John & Andrew Blake. (2002). A probabilistic contour discriminant for object localisation. 390–395. 28 indexed citations

17.

Sullivan, J.L., Andrew Blake, Michael Isard, & John MacCormick. (2001). Bayesian Object Localisation in Images. International Journal of Computer Vision. 44(2). 111–135. 39 indexed citations

18.

Pavlović, Vladimir, James M. Rehg, & John MacCormick. (2000). Learning Switching Linear Models of Human Motion. Neural Information Processing Systems. 13. 981–987. 206 indexed citations

19.

MacCormick, John & Andrew Blake. (2000). A Probabilistic Exclusion Principle for Tracking Multiple Objects. International Journal of Computer Vision. 39(1). 57–71. 197 indexed citations

20.

Sullivan, J.L., Andrew Blake, Michael Isard, & John MacCormick. (1999). Object localization by Bayesian correlation. 1068–1075 vol.2. 86 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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