Rolf P. Würtz

3.5k total citations · 1 hit paper
55 papers, 2.1k citations indexed

About

Rolf P. Würtz is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Rolf P. Würtz has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 9 papers in Cognitive Neuroscience and 9 papers in Artificial Intelligence. Recurrent topics in Rolf P. Würtz's work include Face and Expression Recognition (11 papers), Image Retrieval and Classification Techniques (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Rolf P. Würtz is often cited by papers focused on Face and Expression Recognition (11 papers), Image Retrieval and Classification Techniques (11 papers) and Advanced Image and Video Retrieval Techniques (11 papers). Rolf P. Würtz collaborates with scholars based in Germany, Netherlands and Switzerland. Rolf P. Würtz's co-authors include Jan C. Vorbrüggen, Wolfgang Konen, Joachim M. Buhmann, C. von der Malsburg, Martin Lades, Dagmar Wieczorek, Bernhard Horsthemke, Christoph von der Malsburg, Sven Tomforde and Kirstie L. Bellman and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Rolf P. Würtz

49 papers receiving 1.9k 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.

Distortion invariant object recognition in the dynamic link architecture

1993 1.2k citations Jan C. Vorbrüggen, Joachim M. Buhmann et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rolf P. Würtz Germany	17	1.3k	339	322	304	199	55	2.1k
Sen-ching S. Cheung United States	25	1.9k 1.5×	126 0.4×	448 1.4×	239 0.8×	142 0.7×	105	2.6k
Fu Li China	21	1.1k 0.8×	418 1.2×	305 0.9×	178 0.6×	125 0.6×	92	1.8k
Erik Learned-Miller United States	26	3.6k 2.9×	104 0.3×	846 2.6×	545 1.8×	392 2.0×	95	4.4k
Ruggero Donida Labati Italy	23	916 0.7×	265 0.8×	393 1.2×	687 2.3×	72 0.4×	75	1.9k
Jiande Sun China	27	1.7k 1.4×	124 0.4×	472 1.5×	246 0.8×	507 2.5×	188	2.8k
Weidi Xie United Kingdom	24	2.5k 2.0×	159 0.5×	1.4k 4.2×	1.4k 4.4×	142 0.7×	62	4.0k
Erik Granum Denmark	18	1.3k 1.0×	113 0.3×	343 1.1×	64 0.2×	66 0.3×	60	2.1k
Jun Miao China	21	527 0.4×	163 0.5×	482 1.5×	55 0.2×	68 0.3×	98	1.5k
Yun Fu United States	27	3.2k 2.5×	102 0.3×	551 1.7×	727 2.4×	339 1.7×	89	3.7k
Mohammed Yeasin United States	21	612 0.5×	485 1.4×	406 1.3×	129 0.4×	37 0.2×	107	1.8k

Countries citing papers authored by Rolf P. Würtz

Since Specialization

Citations

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

Fields of papers citing papers by Rolf P. Würtz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rolf P. Würtz. 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 Rolf P. Würtz. The network helps show where Rolf P. Würtz may publish in the future.

Co-authorship network of co-authors of Rolf P. Würtz

This figure shows the co-authorship network connecting the top 25 collaborators of Rolf P. Würtz. A scholar is included among the top collaborators of Rolf P. Würtz 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 Rolf P. Würtz. Rolf P. Würtz 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

Kosilek, Robert P., Günther K. Stalla, Christina Berr, et al.. (2019). Computer Vision Technology in the Differential Diagnosis of Cushing’s Syndrome. Experimental and Clinical Endocrinology & Diabetes. 127(10). 685–690. 12 indexed citations

Bellman, Kirstie L., Jean Botev, Ada Diaconescu, et al.. (2018). Self-Improving System Integration - Status and Challenges after Five Years of SISSY. SPIRE - Sciences Po Institutional REpository. 160–167. 29 indexed citations

Bellman, Kirstie L., Sven Tomforde, & Rolf P. Würtz. (2016). Preface to SISSY 2016. 275–275. 1 indexed citations

Kosilek, Robert P., Rolf P. Würtz, Christina Berr, et al.. (2015). Diagnostic use of facial image analysis software in endocrine and genetic disorders: review, current results and future perspectives. European Journal of Endocrinology. 173(4). M39–M44. 30 indexed citations

Würtz, Rolf P., et al.. (2014). Learning invariant object recognition from temporal correlation in a hierarchical network. Neural Networks. 54. 70–84. 7 indexed citations

Kosilek, Robert P., Jochen Schopohl, Mathias Grünke, et al.. (2013). Automatic Face Classification of Cushing's Syndrome in Women - A Novel Screening Approach. Experimental and Clinical Endocrinology & Diabetes. 121(9). 561–564. 25 indexed citations

Würtz, Rolf P., et al.. (2012). Learning invariant face recognition from examples. Neural Networks. 41. 137–146. 7 indexed citations

Würtz, Rolf P., et al.. (2012). FAST NEAREST NEIGHBOR SEARCH IN PSEUDOSEMIMETRIC SPACES. 667–674. 1 indexed citations

Schneider, Harald J., Robert P. Kosilek, Manuel Günther, et al.. (2011). A Novel Approach to the Detection of Acromegaly: Accuracy of Diagnosis by Automatic Face Classification. The Journal of Clinical Endocrinology & Metabolism. 96(7). 2074–2080. 64 indexed citations

10.

Walther, Thomas & Rolf P. Würtz. (2011). Autonomous learning of a human body model. 22. 357–364.

11.

Würtz, Rolf P., et al.. (2010). Evolutionary optimization of growing neural gas parameters for object categorization and recognition. 9. 1–8. 5 indexed citations

12.

Böehringer, Stefan, et al.. (2006). Syndrome identification based on 2D analysis software. European Journal of Human Genetics. 14(10). 1082–1089. 63 indexed citations

13.

Würtz, Rolf P.. (2004). Organic computing for face and object recognition. GI Jahrestagung (2). 55(2). 636–640. 4 indexed citations

14.

Würtz, Rolf P., et al.. (2004). Communicating agents architecture with applications in multimodal human computer interaction. GI Jahrestagung (2). 641–645. 1 indexed citations

15.

Würtz, Rolf P., et al.. (2004). Fast object and pose recognition through minimum entropy coding. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 53–56 Vol.3. 4 indexed citations

16.

Würtz, Rolf P., et al.. (2003). Learning the Gestalt Rule of Collinearity from Object Motion. Neural Computation. 15(8). 1865–1896. 14 indexed citations

17.

Wieczorek, Dagmar, et al.. (2003). Computer-based recognition of dysmorphic faces. European Journal of Human Genetics. 11(8). 555–560. 66 indexed citations

18.

Würtz, Rolf P., et al.. (1999). On the performance of neuronal matching algorithms. Neural Networks. 12(1). 127–134. 7 indexed citations

19.

Würtz, Rolf P.. (1997). Neuronal theories and technical systems for face recognition.. The European Symposium on Artificial Neural Networks. 1 indexed citations

20.

Buhmann, Joachim M., et al.. (1992). Object recognition with Gabor functions in the dynamic link architecture: parallel implementation on a transputer network. Prentice-Hall, Inc eBooks. 121–160. 11 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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