Thomas Schoenemann

1.0k total citations
18 papers, 386 citations indexed

About

Thomas Schoenemann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Thomas Schoenemann has authored 18 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Thomas Schoenemann's work include Medical Image Segmentation Techniques (9 papers), Digital Image Processing Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Thomas Schoenemann is often cited by papers focused on Medical Image Segmentation Techniques (9 papers), Digital Image Processing Techniques (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Thomas Schoenemann collaborates with scholars based in Germany, Sweden and France. Thomas Schoenemann's co-authors include Daniel Cremers, Fredrik Kahl, Simon Masnou, Michael Lindenbaum, Stephen Jay Gould, William Robson Schwartz, Ido Leichter, David Harwood, Larry S. Davis and Daphne Koller and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Thomas Schoenemann

18 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Schoenemann Germany	10	306	62	47	41	31	18	386
Victor Lempitsky Russia	5	282 0.9×	53 0.9×	66 1.4×	52 1.3×	28 0.9×	6	388
Daniyar Turmukhambetov United Kingdom	6	237 0.8×	49 0.8×	98 2.1×	39 1.0×	36 1.2×	10	362
M.-P. Dubuisson-Jolly United States	7	385 1.3×	33 0.5×	58 1.2×	47 1.1×	48 1.5×	10	462
G. Guy United States	7	320 1.0×	66 1.1×	22 0.5×	36 0.9×	42 1.4×	9	416
Weize Quan China	11	313 1.0×	31 0.5×	42 0.9×	29 0.7×	30 1.0×	23	391
Fangyin Wei United States	8	220 0.7×	37 0.6×	63 1.3×	51 1.2×	19 0.6×	11	391
Meer United States	4	261 0.9×	33 0.5×	81 1.7×	53 1.3×	66 2.1×	4	373
Harshith Goka United States	2	402 1.3×	45 0.7×	45 1.0×	15 0.4×	57 1.8×	2	506
Éric Debreuve France	9	191 0.6×	24 0.4×	42 0.9×	28 0.7×	15 0.5×	26	297
Shaoyang Zhu United States	4	420 1.4×	40 0.6×	39 0.8×	23 0.6×	122 3.9×	7	487

Countries citing papers authored by Thomas Schoenemann

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Schoenemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schoenemann

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

All Works

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18 of 18 papers shown

Schoenemann, Thomas. (2013). Training Nondeficient Variants of IBM-3 and IBM-4 for Word Alignment. Meeting of the Association for Computational Linguistics. 22–31. 1 indexed citations

Schoenemann, Thomas, Fredrik Kahl, Simon Masnou, & Daniel Cremers. (2012). A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization. International Journal of Computer Vision. 99(1). 53–68. 40 indexed citations

Schoenemann, Thomas. (2011). Probabilistic Word Alignment under the $L_0$-norm. 172–180. 4 indexed citations

Schoenemann, Thomas. (2011). Regularizing Mono- and Bi-Word Models for Word Alignment. International Joint Conference on Natural Language Processing. 1313–1322. 2 indexed citations

Schoenemann, Thomas & Daniel Cremers. (2011). A Coding-Cost Framework for Super-Resolution Motion Layer Decomposition. IEEE Transactions on Image Processing. 21(3). 1097–1110. 4 indexed citations

Schoenemann, Thomas, Simon Masnou, & Daniel Cremers. (2011). The Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation. IEEE Transactions on Image Processing. 20(9). 2565–2581. 26 indexed citations

Strandmark, Petter, Fredrik Kahl, & Thomas Schoenemann. (2011). Parallel and distributed vision algorithms using dual decomposition. Computer Vision and Image Understanding. 115(12). 1721–1732. 8 indexed citations

Schoenemann, Thomas. (2010). Computing Optimal Alignments for the IBM-3 Translation Model. 98–106. 6 indexed citations

Schoenemann, Thomas & Daniel Cremers. (2009). A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(7). 1153–1164. 20 indexed citations

10.

Schoenemann, Thomas, et al.. (2009). Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input. 717–722. 8 indexed citations

11.

Schoenemann, Thomas, Fredrik Kahl, & Daniel Cremers. (2009). Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation. 17–23. 46 indexed citations

12.

Gould, Stephen Jay, Daphne Koller, Ido Leichter, et al.. (2009). 2009 IEEE 12th International Conference on Computer Vision (ICCV). 121 indexed citations

13.

Schoenemann, Thomas & Daniel Cremers. (2008). High resolution motion layer decomposition using dual-space graph cuts. 1–7. 16 indexed citations

14.

Schoenemann, Thomas, et al.. (2008). Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces. 28.1–28.10. 4 indexed citations

15.

Schoenemann, Thomas & Daniel Cremers. (2008). Globally optimal shape-based tracking in real-time. 1–6. 15 indexed citations

16.

Schoenemann, Thomas & Daniel Cremers. (2008). Matching non-rigidly deformable shapes across images: A globally optimal solution. 1–6. 10 indexed citations

17.

Schoenemann, Thomas & Daniel Cremers. (2007). Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs. 1–6. 27 indexed citations

18.

Schoenemann, Thomas & Daniel Cremers. (2007). Globally Optimal Image Segmentation with an Elastic Shape Prior. 1–6. 28 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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