Wolfgang Förstner

1.6k total citations
33 papers, 750 citations indexed

About

Wolfgang Förstner is a scholar working on Computer Vision and Pattern Recognition, Environmental Engineering and Media Technology. According to data from OpenAlex, Wolfgang Förstner has authored 33 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 11 papers in Environmental Engineering and 10 papers in Media Technology. Recurrent topics in Wolfgang Förstner's work include Advanced Image and Video Retrieval Techniques (12 papers), Remote Sensing and LiDAR Applications (11 papers) and Remote-Sensing Image Classification (8 papers). Wolfgang Förstner is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Remote Sensing and LiDAR Applications (11 papers) and Remote-Sensing Image Classification (8 papers). Wolfgang Förstner collaborates with scholars based in Germany, China and Lithuania. Wolfgang Förstner's co-authors include Ribana Roscher, Michael Ying Yang, Uwe Franke, Timo Dickscheid, Lutz Plümer, Armin B. Cremers, Thomas H. Kolbe, Volker Steinhage, Björn Waske and André Fischer and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Computer Vision.

In The Last Decade

Wolfgang Förstner

32 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfgang Förstner Germany 14 325 264 148 139 119 33 750
Stephan Nebiker Switzerland 15 249 0.8× 405 1.5× 404 2.7× 98 0.7× 318 2.7× 63 932
Ruifang Zhai China 12 102 0.3× 189 0.7× 118 0.8× 124 0.9× 50 0.4× 51 475
Supreeth Achar United States 12 383 1.2× 119 0.5× 41 0.3× 368 2.6× 210 1.8× 21 860
M.J. Aldon France 15 400 1.2× 98 0.4× 93 0.6× 119 0.9× 517 4.3× 33 878
Stephen Nuske United States 19 408 1.3× 195 0.7× 76 0.5× 566 4.1× 392 3.3× 36 1.1k
Esther Salamí Spain 11 204 0.6× 190 0.7× 63 0.4× 69 0.5× 279 2.3× 38 740
Loïc Landrieu France 12 128 0.4× 283 1.1× 203 1.4× 104 0.7× 64 0.5× 30 679
Andres Milioto Germany 12 723 2.2× 562 2.1× 360 2.4× 412 3.0× 547 4.6× 17 1.6k
Raghav Khanna Switzerland 11 309 1.0× 195 0.7× 44 0.3× 627 4.5× 292 2.5× 18 1.2k
Donald V. Sullivan United States 7 114 0.4× 206 0.8× 62 0.4× 105 0.8× 205 1.7× 18 611

Countries citing papers authored by Wolfgang Förstner

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Förstner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Förstner

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Förstner. A scholar is included among the top collaborators of Wolfgang Förstner 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 Wolfgang Förstner. Wolfgang Förstner 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.
Granshaw, Stuart I., et al.. (2017). Photogrammetry and Industry. The Photogrammetric Record. 32(158). 74–92. 2 indexed citations
2.
Roscher, Ribana, et al.. (2013). Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields. Computers and Electronics in Agriculture. 100. 148–158. 68 indexed citations
3.
Dickscheid, Timo & Wolfgang Förstner. (2013). A Trainable Markov Random Field for Low-Level Image Feature Matching with Spatial Relationships. Photogrammetrie - Fernerkundung - Geoinformation. 2013(4). 269–283. 1 indexed citations
4.
Förstner, Wolfgang, et al.. (2012). Ransac for outlier detection. 31(3). 83–87. 2 indexed citations
5.
Roscher, Ribana, Björn Waske, & Wolfgang Förstner. (2012). Incremental Import Vector Machines for Classifying Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing. 50(9). 3463–3473. 34 indexed citations
6.
Förstner, Wolfgang. (2012). Minimal Representations for Testing and Estimation in Projective Spaces. Photogrammetrie - Fernerkundung - Geoinformation. 2012(3). 209–220. 4 indexed citations
7.
Yang, Michael Ying, Wolfgang Förstner, & Dengfeng Chai. (2012). FEATURE EVALUATION FOR BUILDING FACADE IMAGES – AN EMPIRICAL STUDY. SHILAP Revista de lepidopterología. XXXIX-B3. 513–518. 9 indexed citations
8.
Förstner, Wolfgang, et al.. (2012). LEARNING A COMPOSITIONAL REPRESENTATION FOR FACADE OBJECT CATEGORIZATION. SHILAP Revista de lepidopterología. I-3. 197–202. 2 indexed citations
9.
Yang, Michael Ying & Wolfgang Förstner. (2011). A hierarchical conditional random field model for labeling and classifying images of man-made scenes. University of Twente Research Information. 196–203. 44 indexed citations
10.
Yang, Michael Ying, Wolfgang Förstner, & Martin Drauschke. (2010). HIERARCHICAL CONDITIONAL RANDOM FIELD FOR MULTI-CLASS IMAGE CLASSIFICATION. University of Twente Research Information. 464–469. 9 indexed citations
11.
Pfeiffer, David, et al.. (2010). Curb reconstruction using Conditional Random Fields. 203–210. 53 indexed citations
12.
Roscher, Ribana, Björn Waske, & Wolfgang Förstner. (2010). Kernel Discriminative Random Fields for land cover classification. 3. 1–5. 17 indexed citations
13.
Förstner, Wolfgang, et al.. (2009). On the completeness of coding with image features. 1.1–1.12. 4 indexed citations
14.
Förstner, Wolfgang, et al.. (2009). Detecting interpretable and accurate scale-invariant keypoints. 2256–2263. 43 indexed citations
15.
Drauschke, Martin & Wolfgang Förstner. (2008). Comparison of Adaboost and ADTboost for Feature Subset Selection. 113–122. 5 indexed citations
16.
Drauschke, Martin, et al.. (2008). Detection of repeated structures in facade images. Pattern Recognition and Image Analysis. 18(3). 406–411. 23 indexed citations
17.
Förstner, Wolfgang, et al.. (2002). Polymorphic grouping for image segmentation. 46. 175–182. 9 indexed citations
18.
Fischer, André, Thomas H. Kolbe, Armin B. Cremers, et al.. (1998). Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D. Computer Vision and Image Understanding. 72(2). 185–203. 120 indexed citations
19.
Kolbe, Thomas H., et al.. (1995). Models for photogrammetric building reconstruction. Computers & Graphics. 19(1). 109–118. 34 indexed citations
20.
Förstner, Wolfgang. (1993). FEATURE EXTRACTION IN DIGITAL PHOTOGRAMMETRY. The Photogrammetric Record. 14(82). 595–611. 5 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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