Malin Nilsson

568 citations
8 papers · 348 indexed · h-index 6
Topics
Context-Aware Activity Recognition Systems (3 papers)Building Energy and Comfort Optimization (1 paper)Urban Green Space and Health (1 paper)
Partner nations
Sweden

In The Last Decade

Malin Nilsson

7 papers receiving 311 citations

Peers

Malin Nilsson
Comparison fields: 5 of 83
  • Artificial Intelligence 140
  • Electrical and Electronic Engineering 96
  • Computer Networks and Communications 52
  • Computer Vision and Pattern Recognition 41
  • Ocean Engineering 33
Replace Masatoshi Arikawa with:
Masatoshi Arikawa Japan
Immanuel Schweizer Germany
Yongsung Kim South Korea
Ingmar Rauschert United States
Arturo Nakasone Japan
Pradorn Sureephong Thailand
Alexandru Serbanati Italy
Mohsin Ali Memon Pakistan
Kris Vanhecke Belgium
Malin Nilsson relative to Masatoshi Arikawa Japan Masatoshi Arikawa's profile →
Citations per field
00.5×4.4×
Masatoshi Arikawa · 1×
Citations per year

Countries citing papers authored by Malin Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Malin Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malin Nilsson

This figure shows the co-authorship network connecting the top 25 collaborators of Malin Nilsson. A scholar is included among the top collaborators of Malin Nilsson 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 Malin Nilsson. Malin Nilsson 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 1
2 37
3 17
4 11
5 8
6 2
7 114
8
The european language resources association.
158

About Malin Nilsson

Malin Nilsson is a scholar working on Human-Computer Interaction, Geography, Planning and Development and Geochemistry and Petrology, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (3 papers), Building Energy and Comfort Optimization (1 paper) and Urban Green Space and Health (1 paper). The work is most often cited by research in Artificial Intelligence (140 citations), Human-Computer Interaction (24 citations) and Geochemistry and Petrology (22 citations). Malin Nilsson has collaborated with scholars based in Sweden. Frequent co-authors include Khalid Choukri, Kåre Synnes, Josef Hallberg, Anders Lagerkvist, Lale Andreas, Peter Parnes, Rolf Sjöblom, Evelina Brännvall, Nils Skoglund and Jūratė Kumpienė. Their work appears in journals such as Journal of Environmental Management, Waste Management and Housing Studies.

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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