Paul Kube

705 total citations
16 papers, 509 citations indexed

About

Paul Kube is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Paul Kube has authored 16 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Cognitive Neuroscience and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Paul Kube's work include Medical Image Segmentation Techniques (2 papers), Glaucoma and retinal disorders (2 papers) and Retinal Imaging and Analysis (2 papers). Paul Kube is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Glaucoma and retinal disorders (2 papers) and Retinal Imaging and Analysis (2 papers). Paul Kube collaborates with scholars based in United States and Italy. Paul Kube's co-authors include Mark Nelson, William E. Hart, Michael H. Goldbaum, Alex Pentland, S. Chatterjee, Chi-Yuan Chang, Stephen Palmer, Pietro Perona, Jitendra Malik and Scott B. Baden and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Behavioral and Brain Sciences and Perception.

In The Last Decade

Paul Kube

13 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Kube United States 8 237 206 166 37 35 16 509
Daniel B. Russakoff United States 14 452 1.9× 244 1.2× 351 2.1× 24 0.6× 35 1.0× 38 822
Erik J. Bekkers Netherlands 13 523 2.2× 405 2.0× 347 2.1× 15 0.4× 16 0.5× 27 695
Pedro Serranho Portugal 14 306 1.3× 228 1.1× 152 0.9× 13 0.4× 12 0.3× 52 743
Gábor Németh Hungary 22 1.1k 4.6× 847 4.1× 121 0.7× 19 0.5× 27 0.8× 85 1.4k
G. Zago Italy 9 237 1.0× 143 0.7× 92 0.6× 14 0.4× 9 0.3× 32 432
Roland Wilson United Kingdom 11 103 0.4× 67 0.3× 291 1.8× 19 0.5× 3 0.1× 36 453
Rafael Navarro Spain 9 101 0.4× 99 0.5× 83 0.5× 79 2.1× 99 2.8× 17 485
Pedro G. Vaz Portugal 9 121 0.5× 19 0.1× 49 0.3× 15 0.4× 8 0.2× 28 339
Nicolas Charon United States 7 71 0.3× 24 0.1× 72 0.4× 13 0.4× 24 0.7× 24 329
Kanwal K. Bhatia United Kingdom 14 334 1.4× 27 0.1× 436 2.6× 63 1.7× 162 4.6× 25 901

Countries citing papers authored by Paul Kube

Since Specialization
Citations

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

Fields of papers citing papers by Paul Kube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Kube

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

All Works

16 of 16 papers shown
1.
Levine, David K., et al.. (2005). Nifty assignment. 371–372. 1 indexed citations
2.
Deutsch, Alin, et al.. (2005). Building an XQuery interpreter in a compiler construction course. ACM SIGCSE Bulletin. 37(1). 2–6. 1 indexed citations
4.
Kube, Paul. (2003). Properties of energy edge detectors. 586–591. 1 indexed citations
5.
Kube, Paul. (2003). Likely local shape. 529–534.
6.
Chatterjee, S., et al.. (2002). A quantization error analysis for convergent stereo. 2. 735–739. 16 indexed citations
7.
Chang, Chi-Yuan, S. Chatterjee, & Paul Kube. (2002). On an analysis of static occlusion in stereo vision. 722–723. 23 indexed citations
8.
Hart, William E., et al.. (1999). Measurement and classification of retinal vascular tortuosity. International Journal of Medical Informatics. 53(2-3). 239–252. 252 indexed citations
9.
Hart, William E., et al.. (1997). Automated measurement of retinal vascular tortuosity.. PubMed. 459–63. 60 indexed citations
10.
Kube, Paul & Pietro Perona. (1996). Scale-space properties of quadratic feature detectors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 18(10). 987–999. 7 indexed citations
11.
Kube, Paul. (1991). Unbounded visual search is not both biologically plausible and NP - Complete. Behavioral and Brain Sciences. 14(4). 768–770. 19 indexed citations
12.
Kube, Paul. (1990). Complexity is complicated. Behavioral and Brain Sciences. 13(3). 450–451. 1 indexed citations
13.
Palmer, Stephen, et al.. (1988). Reference Frame Effects on Shape Perception in Two versus Three Dimensions. Perception. 17(2). 147–163. 11 indexed citations
14.
Kube, Paul & Jitendra Malik. (1988). On image texture. 4 indexed citations
15.
Kube, Paul & Alex Pentland. (1988). On the imaging of fractal surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 10(5). 704–707. 112 indexed citations
16.
Palmer, Stephanie E., et al.. (1987). Testing the low spatial-frequency conjecture for a gestalt effect. 1 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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