Viktor Losing

832 total citations
16 papers, 537 citations indexed

About

Viktor Losing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Viktor Losing has authored 16 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Viktor Losing's work include Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Viktor Losing is often cited by papers focused on Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (7 papers) and Anomaly Detection Techniques and Applications (5 papers). Viktor Losing collaborates with scholars based in Germany, Japan and France. Viktor Losing's co-authors include Barbara Hammer, Heiko Wersing, Martina Hasenjäger, Thies Pfeiffer, Emel Demircan, Albert Bifet, Jesse Read, Jacob Montiel, Talel Abdessalem and Julian Eggert and has published in prestigious journals such as Neurocomputing, Scientific Data and Knowledge and Information Systems.

In The Last Decade

Viktor Losing

16 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viktor Losing Germany 8 410 88 82 77 50 16 537
Oğuz Fındık Türkiye 10 296 0.7× 28 0.3× 57 0.7× 136 1.8× 25 0.5× 17 626
Ajmeera Kiran India 13 185 0.5× 125 1.4× 44 0.5× 81 1.1× 16 0.3× 111 638
Alexandra-Bianca Borlea Romania 5 180 0.4× 35 0.4× 29 0.4× 88 1.1× 30 0.6× 11 408
Raihan Ul Islam Bangladesh 11 158 0.4× 99 1.1× 23 0.3× 143 1.9× 22 0.4× 42 493
Haoxi Zhang China 12 223 0.5× 132 1.5× 64 0.8× 159 2.1× 11 0.2× 39 539
B. Browning United States 11 204 0.5× 98 1.1× 85 1.0× 162 2.1× 36 0.7× 15 524
Gee Wah Ng Singapore 11 215 0.5× 78 0.9× 25 0.3× 47 0.6× 25 0.5× 45 395
Andri Riid Estonia 10 134 0.3× 134 1.5× 29 0.4× 88 1.1× 19 0.4× 42 405
Saleh Zein-Sabatto United States 11 136 0.3× 129 1.5× 61 0.7× 58 0.8× 13 0.3× 59 383
Bhabani Shankar Prasad Mishra India 12 125 0.3× 93 1.1× 44 0.5× 93 1.2× 13 0.3× 67 461

Countries citing papers authored by Viktor Losing

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Losing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viktor Losing

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

All Works

16 of 16 papers shown
1.
Losing, Viktor & Martina Hasenjäger. (2022). A Multi-Modal Gait Database of Natural Everyday-Walk in an Urban Environment. Scientific Data. 9(1). 473–473. 24 indexed citations
2.
Смирнов, А. В., et al.. (2022). Situational Question Answering using Memory Nets. 169–176. 1 indexed citations
3.
Losing, Viktor, et al.. (2021). Extraction of Common-Sense Relations from Procedural Task Instructions using BERT. 81–90. 1 indexed citations
4.
Losing, Viktor, et al.. (2020). Machine learning for human movement understanding. Advanced Robotics. 34(13). 828–844. 5 indexed citations
5.
Losing, Viktor, et al.. (2020). Personalized Online Learning with Pseudo-Ground Truth. 3. 8963–8969. 1 indexed citations
6.
Losing, Viktor, et al.. (2019). Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. 3. 9530–9536. 5 indexed citations
7.
Losing, Viktor, Heiko Wersing, & Barbara Hammer. (2018). Enhancing Very Fast Decision Trees with Local Split-Time Predictions. 11. 287–296. 6 indexed citations
8.
Montiel, Jacob, Albert Bifet, Viktor Losing, Jesse Read, & Talel Abdessalem. (2018). Learning Fast and Slow: A Unified Batch/Stream Framework. SPIRE - Sciences Po Institutional REpository. 1065–1072. 5 indexed citations
9.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2017). Self-Adjusting Memory: How to Deal with Diverse Drift Types. 4899–4903. 17 indexed citations
10.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2017). Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM). Knowledge and Information Systems. 54(1). 171–201. 33 indexed citations
11.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2017). Incremental on-line learning: A review and comparison of state of the art algorithms. Neurocomputing. 275. 1261–1274. 237 indexed citations
12.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2017). Personalized maneuver prediction at intersections. 15. 1–6. 7 indexed citations
13.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2016). Choosing the Best Algorithm for an Incremental On-line Learning Task. Publikationen an der Universität Bielefeld (Universität Bielefeld). 16 indexed citations
14.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2016). KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift. 291–300. 138 indexed citations
15.
Losing, Viktor, Barbara Hammer, & Heiko Wersing. (2015). Interactive online learning for obstacle classification on a mobile robot. 1–8. 27 indexed citations
16.
Losing, Viktor, et al.. (2014). Guiding visual search tasks using gaze-contingent auditory feedback. 1093–1102. 14 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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