Tilman Lange

1.3k total citations
10 papers, 790 citations indexed

About

Tilman Lange is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tilman Lange has authored 10 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Tilman Lange's work include Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Neural Networks and Applications (2 papers). Tilman Lange is often cited by papers focused on Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Neural Networks and Applications (2 papers). Tilman Lange collaborates with scholars based in Switzerland, Germany and United States. Tilman Lange's co-authors include Volker Röth, Joachim M. Buhmann, Mikio L. Braun, Robert Weibel, Stefan Steiniger, Dirk Burghardt, M.H.C. Law, Anil K. Jain, Serge Belongie and Andrew Rabinovich and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Neural Computation and Transactions in GIS.

In The Last Decade

Tilman Lange

10 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tilman Lange Switzerland	10	383	244	123	99	63	10	790
Kari Torkkola United States	13	610 1.6×	364 1.5×	139 1.1×	242 2.4×	18 0.3×	41	1.1k
Patrick Gallinari France	14	331 0.9×	178 0.7×	53 0.4×	62 0.6×	65 1.0×	50	745
Jiaxuan You United States	11	721 1.9×	254 1.0×	167 1.4×	41 0.4×	58 0.9×	20	1.4k
Cheng Tan China	12	325 0.8×	250 1.0×	44 0.4×	53 0.5×	39 0.6×	41	1.0k
Isabelle Guyon France	10	661 1.7×	177 0.7×	189 1.5×	125 1.3×	15 0.2×	15	1.1k
Nancy Chinchor United States	15	762 2.0×	130 0.5×	136 1.1×	79 0.8×	36 0.6×	24	1.2k
Marcel Dekker Netherlands	3	394 1.0×	125 0.5×	71 0.6×	81 0.8×	17 0.3×	8	767
Zhangyang Gao China	10	287 0.7×	218 0.9×	41 0.3×	54 0.5×	53 0.8×	32	769
Giovanni Seni United States	6	258 0.7×	212 0.9×	51 0.4×	41 0.4×	23 0.4×	16	681
Nikhil Ketkar United States	8	177 0.5×	128 0.5×	47 0.4×	48 0.5×	19 0.3×	14	626

Countries citing papers authored by Tilman Lange

Since Specialization

Citations

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

Fields of papers citing papers by Tilman Lange

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tilman Lange

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Steiniger, Stefan, Tilman Lange, Dirk Burghardt, & Robert Weibel. (2008). An Approach for the Classification of Urban Building Structures Based on Discriminant Analysis Techniques. Transactions in GIS. 12(1). 31–59. 123 indexed citations

2.

Rabinovich, Andrew, Serge Belongie, Tilman Lange, & Joachim M. Buhmann. (2006). Model Order Selection and Cue Combination for Image Segmentation. 1. 1130–1137. 41 indexed citations

3.

Lange, Tilman & Joachim M. Buhmann. (2005). Fusion of Similarity Data in Clustering. Neural Information Processing Systems. 18. 723–730. 21 indexed citations

4.

Lange, Tilman, M.H.C. Law, Anil K. Jain, & Joachim M. Buhmann. (2005). Learning with Constrained and Unlabelled Data. 1. 731–738. 60 indexed citations

5.

Buhmann, Joachim M., Tilman Lange, & Ulrich Ramacher. (2005). Image Segmentation by Networks of Spiking Neurons. Neural Computation. 17(5). 1010–1031. 21 indexed citations

6.

Lange, Tilman & Joachim M. Buhmann. (2005). Combining partitions by probabilistic label aggregation. 147–156. 22 indexed citations

7.

Röth, Volker & Tilman Lange. (2004). Bayesian Class Discovery in Microarray Datasets. IEEE Transactions on Biomedical Engineering. 51(5). 707–718. 22 indexed citations

8.

Lange, Tilman, Volker Röth, Mikio L. Braun, & Joachim M. Buhmann. (2004). Stability-Based Validation of Clustering Solutions. Neural Computation. 16(6). 1299–1323. 327 indexed citations

9.

Röth, Volker & Tilman Lange. (2003). Feature Selection in Clustering Problems. Neural Information Processing Systems. 16. 473–480. 94 indexed citations

10.

Lange, Tilman, Mikio L. Braun, Volker Röth, & Joachim M. Buhmann. (2002). Stability-Based Model Selection. Neural Information Processing Systems. 15. 633–642. 59 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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