Anton Borg
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
- Topic Modeling
- Sociology and Political Science top 10%
- Crime Patterns and Interventions
- Digital Marketing and Social Media
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 (21 shared papers)Niklas Lavesson (3 shared papers)Erik Johansson (1 shared paper)Lars Lundberg (4 shared papers)Veselka Boeva (1 shared paper)Håkan Grahn (7 shared papers)Selim İckin (2 shared papers)Jörgen Gustafsson (2 shared papers)
In The Last Decade
Anton Borg
23 papers receiving 300 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 174
- Sociology and Political Science 127
- Information Systems 63
- Marketing 18
- Management Science and Operations Research 19
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 14 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 159 | |
| 2 | 2014 | 25 | |
| 3 | 2020 | 16 | |
| 4 | 2016 | 16 | |
| 5 | 2015 | 15 | |
| 6 | 2021 | 11 | |
| 7 | 2015 | 11 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2017 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2012 | 2 | |
| 20 | 2021 | 2 |
About Anton Borg
Anton Borg is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Epidemiology and Computer Networks and Communications, having authored 29 papers that have together received 307 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (10 papers), Anomaly Detection Techniques and Applications (8 papers), Data-Driven Disease Surveillance (6 papers), Spam and Phishing Detection (5 papers), Customer churn and segmentation (4 papers), Big Data and Business Intelligence (3 papers), Data Analysis with R (3 papers) and Data Visualization and Analytics (3 papers). The work is most often cited by research in Artificial Intelligence (174 citations), Sociology and Political Science (127 citations), Information Systems (63 citations), Marketing (18 citations) and Management Science and Operations Research (19 citations). Anton Borg has collaborated with scholars based in Sweden and Bulgaria. Frequent co-authors include Martin Boldt, Niklas Lavesson, Erik Johansson, Lars Lundberg, Veselka Boeva, Håkan Grahn, Selim İckin, Jörgen Gustafsson, Martin Svensson and Bengt Carlsson. Their work appears in journals such as Expert Systems with Applications, ISPRS International Journal of Geo-Information, Journal of Quantitative Criminology, Applied Spatial Analysis and Policy and IEEE Transactions on Network and Service Management.
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.