Anton Borg
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
- Topic Modeling
- Text and Document Classification Technologies
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
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- Anomaly Detection Techniques and Applications 8
- Data Analysis with R 3
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- Crime Patterns and Interventions 10
- Co-authors
- Martin Boldt (23 shared papers)Niklas Lavesson (4 shared papers)Veselka Boeva (2 shared papers)Erik Johansson (1 shared paper)Selim İckin (2 shared papers)Jörgen Gustafsson (2 shared papers)Håkan Grahn (7 shared papers)Lars Lundberg (4 shared papers)
In The Last Decade
Anton Borg
29 papers receiving 350 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 205
- Information Systems 81
- Sociology and Political Science 143
- Marketing 17
- Management Science and Operations Research 21
Countries citing papers authored by Anton Borg
This map shows the geographic impact of Anton Borg'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 Anton Borg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Borg more than expected).
Fields of papers citing papers by Anton Borg
This network shows the impact of papers produced by Anton Borg. 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 Anton Borg. The network helps show where Anton Borg may publish in the future.
Co-authors
The 17 scholars most cited alongside Anton Borg, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | 2014 | 28 | |
| 3 | 2020 | 17 | |
| 4 | 2015 | 17 | |
| 5 | 2016 | 16 | |
| 6 | 2015 | 13 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2013 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2018 | 3 |
About Anton Borg
Anton Borg is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Computer Networks and Communications and Epidemiology, having authored 34 papers that have together received 355 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (10 papers), Anomaly Detection Techniques and Applications (8 papers), Spam and Phishing Detection (8 papers), Data-Driven Disease Surveillance (6 papers), Network Security and Intrusion Detection (4 papers), Customer churn and segmentation (4 papers), Data Visualization and Analytics (3 papers) and Data Analysis with R (3 papers). The work is most often cited by research in Artificial Intelligence (205 citations), Information Systems (81 citations), Sociology and Political Science (143 citations), Marketing (17 citations) and Management Science and Operations Research (21 citations). Anton Borg has collaborated with scholars based in Sweden, Bulgaria and Poland. Frequent co-authors include Martin Boldt, Niklas Lavesson, Veselka Boeva, Erik Johansson, Selim İckin, Jörgen Gustafsson, Håkan Grahn, Lars Lundberg, Manne Gerell and Martin Svensson. Their work appears in journals such as Expert Systems with Applications, ISPRS International Journal of Geo-Information, IEEE Transactions on Network and Service Management, Applied Spatial Analysis and Policy and Knowledge and Information Systems.
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.