Anders Holst
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
Papers in
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- Anomaly Detection Techniques and Applications 9
- Natural Language Processing Techniques 3
- Data Stream Mining Techniques 3
- Bayesian Modeling and Causal Inference 2
- Topic Modeling 2
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- Fault Detection and Control Systems 3
- Co-authors
- Pentti Kanerva (2 shared papers)Magnus Sahlgren (2 shared papers)Jan Ekman (6 shared papers)Thomas Stöggl (1 shared paper)Erik Andersson (1 shared paper)Hans‐Christer Holmberg (1 shared paper)Christer Norström (1 shared paper)Alexander Karlsson (2 shared papers)
In The Last Decade
Anders Holst
21 papers receiving 381 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 341
- Computational Mathematics 2
- Signal Processing 30
- Orthopedics and Sports Medicine 20
- Software 8
Countries citing papers authored by Anders Holst
This map shows the geographic impact of Anders Holst'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 Anders Holst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Holst more than expected).
Fields of papers citing papers by Anders Holst
This network shows the impact of papers produced by Anders Holst. 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 Anders Holst. The network helps show where Anders Holst may publish in the future.
Co-authors
The 25 scholars most cited alongside Anders Holst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Random indexing of text samples for latent semantic analysis | 2000 | 233 |
| 2 | Permutations as a means to encode order in word space | 2008 | 102 |
| 3 | 2014 | 29 | |
| 4 | 2017 | 13 | |
| 5 | 2013 | 11 | |
| 6 | The Gavagai Living Lexicon | 2016 | 10 |
| 7 | A Joint Statistical and Symbolic Anomaly Detection System: Increasing performance in maritime surveillance | 2012 | 7 |
| 8 | 2013 | 6 | |
| 9 | Incremental stream clustering and anomaly detection | 2008 | 5 |
| 10 | 2008 | 4 | |
| 11 | 2009 | 4 | |
| 12 | 2006 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2004 | 2 | |
| 15 | A Probabilistic Approach to Aggregating Anomalies for Unsupervised Anomaly Detection with Industrial Applications | 2015 | 2 |
| 16 | 2012 | 2 | |
| 17 | 2010 | 2 | |
| 18 | Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008 | 2008 | 1 |
| 19 | 2024 | 1 | |
| 20 | 2019 | 1 |
About Anders Holst
Anders Holst is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 23 papers that have together received 441 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Natural Language Processing Techniques (3 papers), Fault Detection and Control Systems (3 papers), Data Stream Mining Techniques (3 papers), Time Series Analysis and Forecasting (3 papers), Bayesian Modeling and Causal Inference (2 papers), Network Security and Intrusion Detection (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (341 citations), Computational Mathematics (2 citations), Signal Processing (30 citations), Orthopedics and Sports Medicine (20 citations) and Software (8 citations). Anders Holst has collaborated with scholars based in Sweden, Canada and Czechia. Frequent co-authors include Pentti Kanerva, Magnus Sahlgren, Jan Ekman, Thomas Stöggl, Erik Andersson, Hans‐Christer Holmberg, Christer Norström, Alexander Karlsson, Sławomir Nowaczyk and Markus Bohlin. Their work appears in journals such as Information Fusion, AI Magazine, Sensors, Language Resources and Evaluation and Annals of Operations Research.
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.