Anders Holst
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Semantic Web and Ontologies
Papers in
-
- Anomaly Detection Techniques and Applications 6
- Natural Language Processing Techniques 5
- Topic Modeling 3
- Data Stream Mining Techniques 2
-
- Time Series Analysis and Forecasting 3
- Data Management and Algorithms 2
- Co-authors
- Pentti Kanerva (2 shared papers)Magnus Sahlgren (4 shared papers)Jussi Karlgren (3 shared papers)Erik Petrus Andersson (1 shared paper)Hans‐Christer Holmberg (1 shared paper)THOMAS LEONHARD STÖGGL (1 shared paper)Christer Norström (1 shared paper)Sepideh Pashami (3 shared papers)
In The Last Decade
Anders Holst
22 papers receiving 469 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 387
- Computational Mathematics 2
- Orthopedics and Sports Medicine 21
- Signal Processing 31
- Software 10
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Random indexing of text samples for latent semantic analysis | 2000 | 295 |
| 2 | Permutations as a means to encode order in word space | 2008 | 111 |
| 3 | 2014 | 32 | |
| 4 | Filaments of Meaning in Word Space | 2008 | 13 |
| 5 | 2017 | 13 | |
| 6 | 2016 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2013 | 6 | |
| 9 | 2009 | 6 | |
| 10 | 2008 | 6 | |
| 11 | 2008 | 5 | |
| 12 | 2019 | 2 | |
| 13 | 2012 | 2 | |
| 14 | 2006 | 2 | |
| 15 | Deviation detection of industrial processes | 2004 | 2 |
| 16 | 2023 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2019 | 1 | |
| 19 | 2024 | 1 | |
| 20 | Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008 | 2008 | 1 |
About Anders Holst
Anders Holst is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Statistics, Probability and Uncertainty and Language and Linguistics, having authored 25 papers that have together received 527 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Natural Language Processing Techniques (5 papers), Time Series Analysis and Forecasting (3 papers), Topic Modeling (3 papers), Lexicography and Language Studies (2 papers), Data Stream Mining Techniques (2 papers), Traffic Prediction and Management Techniques (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (387 citations), Computational Mathematics (2 citations), Orthopedics and Sports Medicine (21 citations), Signal Processing (31 citations) and Software (10 citations). Anders Holst has collaborated with scholars based in Sweden, Czechia and Canada. Frequent co-authors include Pentti Kanerva, Magnus Sahlgren, Jussi Karlgren, Erik Petrus Andersson, Hans‐Christer Holmberg, THOMAS LEONHARD STÖGGL, Christer Norström, Sepideh Pashami, Jan B. Ekman and Mohamed-Rafik Bouguelia. Their work appears in journals such as AI Magazine, Annals of Operations Research, Information Fusion, Sensors and Language Resources and Evaluation.
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.