Andreas Jacobsson

58 papers receiving 861 citations

Peers

Andreas Jacobsson
Comparison fields: 5 of 93
  • Signal Processing 212
  • Computer Science Applications 80
  • Computer Networks and Communications 330
  • Information Systems 316
  • Health Informatics 10
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Tor‐Morten Grønli Norway
Hisham M. Haddad United States
Muhammad Mudassar Yamin Norway
Zarina Shukur Malaysia
José Viterbo Brazil
Sujith Samuel Mathew United Arab Emirates
Marthie Grobler Australia
Budi Arief United Kingdom
Joseph Migga Kizza United States
Paul Haskell‐Dowland Australia
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Citations per year

Countries citing papers authored by Andreas Jacobsson

Since Specialization
Citations

This map shows the geographic impact of Andreas Jacobsson'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 Andreas Jacobsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Jacobsson more than expected).

Fields of papers citing papers by Andreas Jacobsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Jacobsson. 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 Andreas Jacobsson. The network helps show where Andreas Jacobsson may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Jacobsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Jacobsson Line = papers co-authored together Andreas Jacobsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015231
2 2016153
3 202282
4 201574
5 201545
6 201831
7 201924
8 201024
9 202220
10 201719
11 202119
12 201419
13 202116
14
Exploring Spyware Effects
200416
15 200814
16 202011
17 201810
18 201710
19
Aligning Models of Normative Systems and Artificial Societies: Towards norm-governed behavior in virtual enterprises
20079
20 20068

About Andreas Jacobsson

Andreas Jacobsson is a scholar working on Computer Networks and Communications, Sociology and Political Science, Information Systems, Artificial Intelligence and Education, having authored 71 papers that have together received 926 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (11 papers), IoT and Edge/Fog Computing (10 papers), Global Education and Multiculturalism (10 papers), Advanced Malware Detection Techniques (9 papers), Context-Aware Activity Recognition Systems (8 papers), Business Process Modeling and Analysis (6 papers), Multi-Agent Systems and Negotiation (6 papers) and Spam and Phishing Detection (5 papers). The work is most often cited by research in Signal Processing (212 citations), Computer Science Applications (80 citations), Computer Networks and Communications (330 citations), Information Systems (316 citations) and Health Informatics (10 citations). Andreas Jacobsson has collaborated with scholars based in Sweden and Finland. Frequent co-authors include Paul Davidsson, Martin Boldt, Bengt Carlsson, Joseph Bugeja, Bahtijar Vogel, Fred Dervin, Hussan Munir, Dejan Baca, Niklas Lavesson and Ning Chen. Their work appears in journals such as Sensors, IEEE Security & Privacy, Knowledge and Information Systems, IEEE Access and Future Generation Computer 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.

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