Edward Rosten

8.3k total citations · 2 hit papers
26 papers, 2.6k citations indexed

About

Edward Rosten is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Edward Rosten has authored 26 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Edward Rosten's work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Edward Rosten is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (8 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Edward Rosten collaborates with scholars based in United Kingdom, United States and Austria. Edward Rosten's co-authors include Tom Drummond, Reid Porter, Susan Cox, James Monypenny, Tijana Jovanović‐Talisman, Jennifer Lippincott‐Schwartz, Gareth E. Jones, Rainer Heintzmann, Dylan T. Burnette and Simon Taylor and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Development.

In The Last Decade

Edward Rosten

26 papers receiving 2.5k citations

Hit Papers

Faster and Better: A Machine Learning Approach to Corner ... 2005 2026 2012 2019 2008 2005 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Rosten United Kingdom 13 1.8k 1.2k 297 240 209 26 2.6k
Alexander Krull Germany 15 1.2k 0.7× 673 0.6× 215 0.7× 286 1.2× 263 1.3× 23 2.1k
Jonathan M. Taylor United Kingdom 28 1.6k 0.9× 311 0.3× 216 0.7× 123 0.5× 505 2.4× 83 3.1k
Alessio Del Bue Italy 27 1.4k 0.8× 489 0.4× 294 1.0× 63 0.3× 263 1.3× 141 2.6k
Grégory Randall Uruguay 13 1.9k 1.1× 1.1k 0.9× 64 0.2× 317 1.3× 52 0.2× 35 2.6k
Juho Kannala Finland 27 2.4k 1.4× 986 0.8× 114 0.4× 360 1.5× 166 0.8× 75 3.4k
Alex Bronstein Israel 28 1.8k 1.0× 317 0.3× 50 0.2× 291 1.2× 196 0.9× 100 2.8k
Gunilla Borgefors Sweden 20 2.2k 1.3× 298 0.2× 165 0.6× 132 0.6× 173 0.8× 51 3.0k
Manuel M. Oliveira Brazil 29 2.8k 1.6× 259 0.2× 62 0.2× 800 3.3× 179 0.9× 114 4.1k
Dilip K. Prasad Singapore 22 959 0.5× 365 0.3× 71 0.2× 262 1.1× 185 0.9× 110 2.0k
Filiz Bunyak United States 24 993 0.6× 198 0.2× 257 0.9× 205 0.9× 115 0.6× 117 1.8k

Countries citing papers authored by Edward Rosten

Since Specialization
Citations

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

Fields of papers citing papers by Edward Rosten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Rosten

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Rosten. A scholar is included among the top collaborators of Edward Rosten 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 Edward Rosten. Edward Rosten 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.
Woodford, Oliver J. & Edward Rosten. (2020). Large Scale Photometric Bundle Adjustment. arXiv (Cornell University). 1 indexed citations
2.
Rosten, Edward, et al.. (2014). Unbiased generative semi-supervised learning. Journal of Machine Learning Research. 15(1). 367–443. 13 indexed citations
3.
Dodgson, James, Anatole Chessel, Miki Yamamoto, et al.. (2013). Spatial segregation of polarity factors into distinct cortical clusters is required for cell polarity control. Nature Communications. 4(1). 1834–1834. 39 indexed citations
4.
Cox, Susan, Edward Rosten, James Monypenny, et al.. (2011). Bayesian localization microscopy reveals nanoscale podosome dynamics. Nature Methods. 9(2). 195–200. 326 indexed citations
5.
Arth, Clemens, et al.. (2011). Rapid scene reconstruction on mobile phones from panoramic images. 2 indexed citations
6.
Reitmayr, Gerhard, et al.. (2010). Rapid 3D modelling from live video. International Convention on Information and Communication Technology, Electronics and Microelectronics. 252–257. 3 indexed citations
7.
Rosten, Edward, et al.. (2010). Deterministic Sample Consensus with Multiple Match Hypotheses. 111.1–111.11. 8 indexed citations
8.
Taylor, Simon, et al.. (2009). Robust feature matching in 2.3 microseconds. Cambridge University Engineering Department Publications Database. 1 indexed citations
9.
Taylor, Stephen R., Edward Rosten, & Tom Drummond. (2009). Robust feature matching in 2.3µs. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 1 indexed citations
10.
Rosten, Edward, et al.. (2009). Learning Object Location Predictors with Boosting and Grammar-Guided Feature Extraction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 92.1–92.11. 3 indexed citations
11.
Rosten, Edward, et al.. (2008). Experiences Using SciPy for Computer Vision Research. Proceedings of the Python in Science Conferences. 22–26. 1 indexed citations
12.
Rosten, Edward, Reid Porter, & Tom Drummond. (2008). Faster and Better: A Machine Learning Approach to Corner Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(1). 105–119. 1259 indexed citations breakdown →
13.
Porter, Reid, et al.. (2008). A recurrent velocity filter for detecting large numbers of moving objects. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6969. 69690C–69690C. 1 indexed citations
14.
Rosten, Edward, et al.. (2008). Improving multiple target tracking in structured environments using velocity priors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6969. 69690H–69690H. 3 indexed citations
15.
Porter, Reid, et al.. (2007). Building robust appearance models using on-line feature selection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6574. 657409–657409. 1 indexed citations
16.
Cox, Susan, J. C. Lashley, Edward Rosten, et al.. (2007). Evidence for the charge-density-wave nature of the stripe phase in manganites. Journal of Physics Condensed Matter. 19(19). 192201–192201. 28 indexed citations
17.
Rosten, Edward & Tom Drummond. (2006). Machine Learning for High-Speed Corner Detection. Lecture notes in computer science. 3951. 430–443. 15 indexed citations
18.
Cox, Susan, Edward Rosten, Šimon Kos, et al.. (2006). Strain control of superlattice implies weak charge-lattice coupling inLa0.5Ca0.5MnO3. Physical Review B. 73(13). 24 indexed citations
19.
Rosten, Edward & Tom Drummond. (2005). Fusing points and lines for high performance tracking. 1508–1515 Vol. 2. 731 indexed citations breakdown →
20.
Rosten, Edward & Tom Drummond. (2003). Rapid rendering of apparent contours of implicit surfaces for real-time tracking. 75.1–75.10. 13 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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