Jenni Raitoharju

1.9k citations
49 papers · 1.0k indexed · 2 hit papers · h-index 15
Topics
Face and Expression Recognition (8 papers)Advanced Neural Network Applications (7 papers)Water Quality Monitoring Technologies (6 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaIEEE Access
Partner nations
FinlandDenmarkQatar

In The Last Decade

Jenni Raitoharju

43 papers receiving 991 citations

Hit Papers

Collaborative Multi-Robot Search and Rescue: Planning, Co...20202026202220242020202150100150200250

Peers

Jenni Raitoharju
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 303
  • Artificial Intelligence 232
  • Computer Networks and Communications 160
  • Aerospace Engineering 137
  • Ecological Modeling 124
Replace Gilles Venturini with:
Gilles Venturini France
Chengjun Xie China
Henrik Karstoft Denmark
Chen Gao China
Volker Steinhage Germany
Stefan C. Kremer Canada
Chenglu Wen China
Donatello Conte France
Zheng Wu China
Chanyoung Ju South Korea
Jenni Raitoharju relative to Gilles Venturini France Gilles Venturini's profile →
Citations per field
00.5×6.7×
Gilles Venturini · 1×
Citations per year

Countries citing papers authored by Jenni Raitoharju

Since Specialization
Citations

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

Fields of papers citing papers by Jenni Raitoharju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenni Raitoharju

This figure shows the co-authorship network connecting the top 25 collaborators of Jenni Raitoharju. A scholar is included among the top collaborators of Jenni Raitoharju 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 Jenni Raitoharju. Jenni Raitoharju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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5 7
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Deep learning and computer vision will transform entomologybreakdown →
268
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17 7
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About Jenni Raitoharju

Jenni Raitoharju is a scholar working on Computer Vision and Pattern Recognition, Ecological Modeling and Space and Planetary Science, having authored 49 papers that have together received 1.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Advanced Neural Network Applications (7 papers) and Water Quality Monitoring Technologies (6 papers). The work is most often cited by research in Ecological Modeling (124 citations), Computer Vision and Pattern Recognition (303 citations) and Insect Science (92 citations). Jenni Raitoharju has collaborated with scholars based in Finland, Denmark and Qatar. Frequent co-authors include Moncef Gabbouj, Alexandros Iosifidis, Jussi Taipalmaa, Kristian Meissner, Jorge Peña Queralta, Tomi Westerlund, Tuan Nguyen Gia, Hannu Tenhunen, Johanna Ärje and Serkan Kıranyaz. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Access.

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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