René Grzeszick

664 total citations
17 papers, 429 citations indexed

About

René Grzeszick is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, René Grzeszick has authored 17 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in René Grzeszick's work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Context-Aware Activity Recognition Systems (4 papers). René Grzeszick is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Context-Aware Activity Recognition Systems (4 papers). René Grzeszick collaborates with scholars based in Germany, Philippines and United States. René Grzeszick's co-authors include Gernot A. Fink, Michael ten Hompel, Fernando Moya Rueda, Axel Plinge, Jan M. Köhler, Michael Hirsch, Szilárd Vajda, Thorsten Wilhelm and Christian Wöhler and has published in prestigious journals such as Pattern Recognition, IEEE/ACM Transactions on Audio Speech and Language Processing and International Journal of Pattern Recognition and Artificial Intelligence.

In The Last Decade

René Grzeszick

17 papers receiving 413 citations

Peers

René Grzeszick
René Grzeszick
Citations per year, relative to René Grzeszick René Grzeszick (= 1×) peers Tati L. R. Mengko

Countries citing papers authored by René Grzeszick

Since Specialization
Citations

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

Fields of papers citing papers by René Grzeszick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Grzeszick

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

All Works

17 of 17 papers shown
1.
Rueda, Fernando Moya, et al.. (2023). Miss-placement Prediction of Multiple On-body Devices for Human Activity Recognition. 1–8. 1 indexed citations
2.
Grzeszick, René, et al.. (2022). Dataset and Methods for Recognizing Care Activities. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–8. 5 indexed citations
3.
Wilhelm, Thorsten, René Grzeszick, Gernot A. Fink, & Christian Wöhler. (2019). Unsupervised Learning of Scene Categories on the Lunar Surface. 614–621. 1 indexed citations
4.
Rueda, Fernando Moya, et al.. (2018). Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors. Informatics. 5(2). 26–26. 128 indexed citations
5.
Köhler, Jan M., et al.. (2017). Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images. 2069–2073. 100 indexed citations
6.
Grzeszick, René, Axel Plinge, & Gernot A. Fink. (2017). Bag-of-Features Methods for Acoustic Event Detection and Classification. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(6). 1242–1252. 22 indexed citations
7.
Grzeszick, René, et al.. (2017). Deep Neural Network based Human Activity Recognition for the Order Picking Process. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 62 indexed citations
8.
Wilhelm, Thorsten, et al.. (2017). From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling. abs 1502 2734. 1–7. 2 indexed citations
9.
Grzeszick, René, et al.. (2017). Optimistic and pessimistic neural networks for object recognition. 9. 350–354. 1 indexed citations
10.
Grzeszick, René, et al.. (2016). Camera-assisted Pick-by-feel. 2016(10). 4 indexed citations
11.
Grzeszick, René & Gernot A. Fink. (2015). An Iterative Partitioning-Based Method for Semi-Supervised Annotation Learning in Image Collections. International Journal of Pattern Recognition and Artificial Intelligence. 30(2). 1655005–1655005. 2 indexed citations
12.
Grzeszick, René, et al.. (2015). On the Influence of Superpixel Methods for Image Parsing. 518–527. 6 indexed citations
13.
Plinge, Axel, René Grzeszick, & Gernot A. Fink. (2014). A Bag-of-Features approach to acoustic event detection. 3704–3708. 50 indexed citations
14.
Fink, Gernot A., et al.. (2014). Grouping Historical Postcards Using Query-by-Example Word Spotting. 470–475. 6 indexed citations
15.
Vajda, Szilárd, et al.. (2013). Semi-supervised learning for character recognition in historical archive documents. Pattern Recognition. 47(3). 1011–1020. 30 indexed citations
16.
Grzeszick, René, et al.. (2013). Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script. 1. 663–667. 1 indexed citations
17.
Grzeszick, René, et al.. (2013). Bag-of-features representations using spatial visual vocabularies for object classification. 2867–2871. 8 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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