Viktor Losing
Impact in
- Artificial Intelligence top 5%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Machine Learning and ELM
- Imbalanced Data Classification Techniques
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Data Stream Mining Techniques 8
- Machine Learning and Data Classification 7
- Anomaly Detection Techniques and Applications 5
- Topic Modeling 2
- Natural Language Processing Techniques 1
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- Human Pose and Action Recognition 2
- Co-authors
- Heiko Wersing (9 shared papers)Barbara Hammer (9 shared papers)Martina Hasenjäger (2 shared papers)Thies Pfeiffer (1 shared paper)Emel Demircan (1 shared paper)Jacob Montiel (1 shared paper)Albert Bifet (1 shared paper)Talel Abdessalem (1 shared paper)
- Journals
- Scientific Data (1 paper)Neurocomputing (1 paper)Knowledge and Information Systems (1 paper)Advanced Robotics (1 paper)SPIRE - Sciences Po Institutional REpository (1 paper)
In The Last Decade
Viktor Losing
16 papers receiving 523 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 410
- Signal Processing 82
- Management Science and Operations Research 50
- Computer Networks and Communications 88
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Viktor Losing
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
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-authors
The 12 scholars most cited alongside Viktor Losing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 237 | |
| 2 | 2016 | 138 | |
| 3 | 2017 | 33 | |
| 4 | 2015 | 27 | |
| 5 | 2022 | 24 | |
| 6 | 2017 | 17 | |
| 7 | Choosing the Best Algorithm for an Incremental On-line Learning Task | 2016 | 16 |
| 8 | 2014 | 14 | |
| 9 | 2017 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2022 | 1 |
About Viktor Losing
Viktor Losing is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Computer Networks and Communications and Biomedical Engineering, having authored 16 papers that have together received 537 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (7 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Bandit Algorithms Research (3 papers), Human Pose and Action Recognition (2 papers), Topic Modeling (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (410 citations), Signal Processing (82 citations), Management Science and Operations Research (50 citations), Computer Networks and Communications (88 citations) and Computer Vision and Pattern Recognition (77 citations). Viktor Losing has collaborated with scholars based in Germany, Japan and Singapore. Frequent co-authors include Heiko Wersing, Barbara Hammer, Martina Hasenjäger, Thies Pfeiffer, Emel Demircan, Jacob Montiel, Albert Bifet, Talel Abdessalem, Jesse Read and А. В. Смирнов. Their work appears in journals such as Scientific Data, Neurocomputing, Knowledge and Information Systems, Advanced Robotics and SPIRE - Sciences Po Institutional REpository.
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.