J.G.M. Schavemaker

437 total citations
24 papers, 291 citations indexed

About

J.G.M. Schavemaker is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, J.G.M. Schavemaker has authored 24 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Ocean Engineering and 7 papers in Artificial Intelligence. Recurrent topics in J.G.M. Schavemaker's work include Geophysical Methods and Applications (10 papers), Earthquake Detection and Analysis (4 papers) and Video Analysis and Summarization (3 papers). J.G.M. Schavemaker is often cited by papers focused on Geophysical Methods and Applications (10 papers), Earthquake Detection and Analysis (4 papers) and Video Analysis and Summarization (3 papers). J.G.M. Schavemaker collaborates with scholars based in Netherlands and United States. J.G.M. Schavemaker's co-authors include Klamer Schutte, Frank Cremer, Marcel Reinders, Jan J. Gerbrands, E. Backer, A.M. Vossepoel, Wessel Kraaij, Maaike de Boer, Reinier Könemann and Egon L. van den Broek and has published in prestigious journals such as Pattern Recognition, Information Fusion and User Modeling and User-Adapted Interaction.

In The Last Decade

J.G.M. Schavemaker

24 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.G.M. Schavemaker Netherlands	8	112	96	60	53	41	24	291
Sedat Nazlıbilek Türkiye	10	133 1.2×	51 0.5×	80 1.3×	28 0.5×	33 0.8×	30	336
Gang Xiong China	13	114 1.0×	63 0.7×	48 0.8×	25 0.5×	147 3.6×	47	412
Jeremy Vila United States	7	72 0.6×	49 0.5×	76 1.3×	16 0.3×	75 1.8×	18	602
Wenwei Ying China	9	50 0.4×	97 1.0×	41 0.7×	24 0.5×	158 3.9×	27	342
Carole Le Guyader France	11	311 2.8×	26 0.3×	35 0.6×	33 0.6×	28 0.7×	39	426
G. Sasibhushana Rao India	12	85 0.8×	37 0.4×	87 1.4×	20 0.4×	211 5.1×	76	468
Jean‐Jules Brault Canada	7	161 1.4×	37 0.4×	70 1.2×	40 0.8×	20 0.5×	18	311
Songyang Zhang United States	10	56 0.5×	24 0.3×	85 1.4×	16 0.3×	31 0.8×	33	300
Zichao Guo China	6	328 2.9×	28 0.3×	238 4.0×	36 0.7×	17 0.4×	12	478
J.M.M. Anderson United States	10	111 1.0×	30 0.3×	17 0.3×	25 0.5×	26 0.6×	57	346

Countries citing papers authored by J.G.M. Schavemaker

Since Specialization

Citations

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

Fields of papers citing papers by J.G.M. Schavemaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.G.M. Schavemaker. 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 J.G.M. Schavemaker. The network helps show where J.G.M. Schavemaker may publish in the future.

Co-authorship network of co-authors of J.G.M. Schavemaker

This figure shows the co-authorship network connecting the top 25 collaborators of J.G.M. Schavemaker. A scholar is included among the top collaborators of J.G.M. Schavemaker 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 J.G.M. Schavemaker. J.G.M. Schavemaker 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

Kraaij, Wessel, Suzan Verberne, Saskia Koldijk, et al.. (2019). Personalized support for well-being at work: an overview of the SWELL project. User Modeling and User-Adapted Interaction. 6 indexed citations

Schutte, Klamer, Henri Bouma, J.G.M. Schavemaker, et al.. (2015). Interactive detection of incrementally learned concepts in images with ranking and semantic query interpretation. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–4. 10 indexed citations

Schavemaker, J.G.M., et al.. (2015). BING3D : Fast spatio-temporal proposals for action localization. UvA-DARE (University of Amsterdam). 1 indexed citations

Ngo, Chong‐Wah, Yijie Lu, Hao Zhang, et al.. (2014). VIREO-TNO @ TRECVID 2014: Multimedia Event Detection and Recounting (MED and MER). Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 2 indexed citations

Schavemaker, J.G.M., et al.. (2014). A Comparison of Human and Machine Learning-based Accuracy for Valence Classification of Subjects in Video Fragments. TNO Repository. 1 indexed citations

Schavemaker, J.G.M., et al.. (2014). Fishualization: a group feedback display. TNO Repository. 1–5. 2 indexed citations

Broek, Egon L. van den, et al.. (2012). Towards sensing behavior using the Kinect. University of Twente Research Information. 372–375. 2 indexed citations

Schavemaker, J.G.M., et al.. (2011). TNO instance search submission 2011.. TRECVID. 1 indexed citations

Yarovoy, Alexander, Timofey Savelyev, Xiaodong Zhuge, et al.. (2008). Performance of UWB array-based radar sensor in a multi-sensor vehicle-based suit for landmine detection. TNO Repository. 288–291. 3 indexed citations

10.

Burghouts, Gertjan J., et al.. (2007). 3-D Scene Reconstruction with a Handheld Stereo Camera. 3 indexed citations

11.

Dijk, Judith, et al.. (2007). Local adaptive contrast enhancement for color images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6575. 65750A–65750A. 5 indexed citations

12.

Schavemaker, J.G.M., et al.. (2003). LOTUS field demonstration of integrated multisensor mine detection system in Bosnia. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5089. 1324–1324. 5 indexed citations

13.

Cremer, Frank, et al.. (2003). Comparison of vehicle-mounted forward-looking polarimetric infrared and downward-looking infrared sensors for landmine detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5089. 517–517. 27 indexed citations

14.

Schutte, Klamer, et al.. (2002). <title>Feature-based detection of land mines in infrared images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4742. 108–119. 17 indexed citations

15.

Schavemaker, J.G.M., et al.. (2001). Utility map reconstruction. International Journal of Geographical Information Systems. 15(1). 7–26. 2 indexed citations

16.

Cremer, Frank, et al.. (2001). A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection. Information Fusion. 2(3). 187–208. 60 indexed citations

17.

Schavemaker, J.G.M., et al.. (2001). Depth fusion for antipersonnel landmine detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4394. 1071–1071. 14 indexed citations

18.

Schavemaker, J.G.M., et al.. (2000). Infrared Processing and Sensor Fusion for Anti-Personnel Land-Mine Detection. TNO Repository. 147(11). 61–8. 3 indexed citations

19.

Cremer, Frank, et al.. (2000). Toward an operational sensor-fusion system for antipersonnel land mine detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4038. 792–792. 12 indexed citations

20.

Schavemaker, J.G.M., Marcel Reinders, Jan J. Gerbrands, & E. Backer. (2000). Image sharpening by morphological filtering. Pattern Recognition. 33(6). 997–1012. 97 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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