Jorn Bakker

522 citations
8 papers · 334 indexed · h-index 7
Topics
Data Stream Mining Techniques (5 papers)Time Series Analysis and Forecasting (5 papers)Anomaly Detection Techniques and Applications (4 papers)
Journals
Expert Systems with ApplicationsJournal of Dairy ScienceACM SIGKDD Explorations Newsletter

In The Last Decade

Jorn Bakker

8 papers receiving 310 citations

Peers

Jorn Bakker
Comparison fields: 5 of 84
  • Experimental and Cognitive Psychology 121
  • Cardiology and Cardiovascular Medicine 80
  • Artificial Intelligence 63
  • Biomedical Engineering 58
  • Cognitive Neuroscience 57
Replace Gonzalo Bailador del Pozo with:
Gonzalo Bailador del Pozo Spain
Javier Guerra Casanova Spain
Saskia Koldijk Netherlands
Colin Puri United States
Norhaslinda Kamaruddin Malaysia
Leo Galway United Kingdom
Sten Hanke Austria
Jainendra Shukla India
Değer Ayata Türkiye
Maria Jabon United States
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Citations per field
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Citations per year

Countries citing papers authored by Jorn Bakker

Since Specialization
Citations

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

Fields of papers citing papers by Jorn Bakker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorn Bakker

This figure shows the co-authorship network connecting the top 25 collaborators of Jorn Bakker. A scholar is included among the top collaborators of Jorn Bakker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorn Bakker. Jorn Bakker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 48
2 25
3 191
4 18
5 14
6 5
7
Livestock Production in Europe: Perspectives and Prospects
8
8 25

About Jorn Bakker

Jorn Bakker is a scholar working on Signal Processing, Artificial Intelligence and Management Science and Operations Research, having authored 8 papers that have together received 334 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (5 papers), Time Series Analysis and Forecasting (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (121 citations), Applied Psychology (24 citations) and Human-Computer Interaction (23 citations). Jorn Bakker has collaborated with scholars based in Netherlands, Finland and United States. Frequent co-authors include Mykola Pechenizkiy, Natalia Sidorova, Indrė Žliobaitė, Rafał Kocielnik, L.D. Van Vleck, R.W. Everett, Tommi Kärkkäinen and R.D. Politiek. Their work appears in journals such as Expert Systems with Applications, Journal of Dairy Science and ACM SIGKDD Explorations Newsletter.

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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