Anton Borg
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Advanced Clustering Algorithms Research
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- Complex Network Analysis Techniques
Papers in
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- Data Mining and Machine Learning Applications 4
- Spam and Phishing Detection 3
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- Crime Patterns and Interventions 11
- Access Control and Trust 2
- Co-authors
- Martin Boldt (23 shared papers)Niklas Lavesson (4 shared papers)Veselka Boeva (2 shared papers)Håkan Grahn (7 shared papers)Piotr Bródka (2 shared papers)Lars Lundberg (4 shared papers)Selim İckin (2 shared papers)Martin G.A. Svensson (2 shared papers)
In The Last Decade
Anton Borg
34 papers receiving 448 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 196
- Statistical and Nonlinear Physics 43
- Information Systems 70
- Sociology and Political Science 96
- Signal Processing 11
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 12 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 186 | |
| 2 | 2016 | 65 | |
| 3 | 2014 | 28 | |
| 4 | 2015 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2016 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2015 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2019 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2017 | 3 |
About Anton Borg
Anton Borg is a scholar working on Information Systems, Sociology and Political Science, Artificial Intelligence, Marketing and Statistical and Nonlinear Physics, having authored 36 papers that have together received 457 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (11 papers), Customer churn and segmentation (4 papers), Text and Document Classification Technologies (4 papers), Data Mining and Machine Learning Applications (4 papers), Complex Network Analysis Techniques (3 papers), Spam and Phishing Detection (3 papers), Advanced Clustering Algorithms Research (2 papers) and Access Control and Trust (2 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Statistical and Nonlinear Physics (43 citations), Information Systems (70 citations), Sociology and Political Science (96 citations) and Signal Processing (11 citations). Anton Borg has collaborated with scholars based in Sweden, Poland and Bulgaria. Frequent co-authors include Martin Boldt, Niklas Lavesson, Veselka Boeva, Håkan Grahn, Piotr Bródka, Lars Lundberg, Selim İckin, Martin G.A. Svensson, Manne Gerell and Bengt Carlsson. Their work appears in journals such as Expert Systems with Applications, ISPRS International Journal of Geo-Information, IEEE Transactions on Network and Service Management, Neural Computing and Applications and International Journal of Information Technology & Decision Making.
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.