Simo Hosio

4.0k citations
143 papers · 2.6k · h-index 28

Impact in

Papers in

Simo Hosio

136 papers receiving 2.5k citations

Peers

Simo Hosio
Comparison fields: 5 of 148
  • Human-Computer Interaction 842
  • Computer Science Applications 505
  • Information Systems and Management 430
  • Applied Psychology 162
  • Health Informatics 39
Replace Florian Schaub with:
Florian Schaub United States
Katie Shilton United States
Judy Kay Australia
Joel E. Fischer United Kingdom
Allison Woodruff United States
Mikael B. Skov Denmark
Paul Dourish United States
Gary Hsieh United States
Andy Crabtree United Kingdom
Xiaojuan Ma Hong Kong
Simo Hosio relative to Florian Schaub United States Florian Schaub's profile →
Citations per field
00.5×1.6×
Florian Schaub · 1×
Citations per year

Countries citing papers authored by Simo Hosio

Since Specialization
Citations

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

Fields of papers citing papers by Simo Hosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simo Hosio, 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 Simo Hosio Line = papers co-authored together Simo Hosio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 2014146
3 2014133
4 2016106
5 201298
6 201086
7 201574
8 202174
9 201371
10 201764
11 201861
12 201658
13 201453
14 202250
15 201450
16 202050
17 201548
18 201545
19 201942
20 202139

About Simo Hosio

Simo Hosio is a scholar working on Human-Computer Interaction, Computer Science Applications, Sociology and Political Science, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 143 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (41 papers), Innovative Human-Technology Interaction (41 papers), Interactive and Immersive Displays (18 papers), Personal Information Management and User Behavior (17 papers), Human Mobility and Location-Based Analysis (14 papers), Open Source Software Innovations (13 papers), Context-Aware Activity Recognition Systems (12 papers) and Green IT and Sustainability (9 papers). The work is most often cited by research in Human-Computer Interaction (842 citations), Computer Science Applications (505 citations), Information Systems and Management (430 citations), Applied Psychology (162 citations) and Health Informatics (39 citations). Simo Hosio has collaborated with scholars based in Finland, Australia and Japan. Frequent co-authors include Jorge Gonçalves, Vassilis Kostakos, Denzil Ferreira, Niels van Berkel, Hannu Kukka, Liu Yong, Timo Ojala, Marko Jurmu, Jukka Riekki and Tommi Heikkinen. Their work appears in journals such as International Journal of Human-Computer Studies, Personal and Ubiquitous Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Interacting with Computers and Proceedings of the ACM on Human-Computer Interaction.

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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