Michela Cozza

467 citations
27 papers · 233 · h-index 9

Impact in

Papers in

Michela Cozza

23 papers receiving 215 citations

Peers

Michela Cozza
Comparison fields: 5 of 70
  • Neuropsychology and Physiological Psychology 19
  • Human-Computer Interaction 44
  • Management of Technology and Innovation 36
  • Human Factors and Ergonomics 10
  • Demography 46
Replace Dave Harley with:
Dave Harley United Kingdom
Jeremiah Spence United States
Godwin Y. Agboka United States
Thomas M. Cavanagh United States
Sangpil Han South Korea
Víctor Hugo Perera Rodríguez Spain
Peter S. Cookson United States
Fermín Navaridas Nalda Spain
Stephan Schumann Germany
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Citations per field
00.5×10×12.7×
Dave Harley · 1×
Citations per year

Countries citing papers authored by Michela Cozza

Since Specialization
Citations

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

Fields of papers citing papers by Michela Cozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201837
2 201831
3 201728
4 202025
5 201117
6 201715
7 202111
8 201611
9 20239
10 20198
11 20218
12
Understanding Motivations in Designing for Older Adults
20165
13 20234
14 20233
15 19943
16 20153
17 20233
18 20223
19 20083
20 20082

About Michela Cozza

Michela Cozza is a scholar working on Sociology and Political Science, Human-Computer Interaction, Management of Technology and Innovation, Demography and Economics and Econometrics, having authored 27 papers that have together received 233 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (9 papers), Innovative Approaches in Technology and Social Development (6 papers), Technology Use by Older Adults (6 papers), Information Systems Theories and Implementation (4 papers), Diverse academic and cultural studies (2 papers), Digital Economy and Work Transformation (2 papers), Posthumanist Ethics and Activism (2 papers) and Innovative Education and Learning Practices (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (19 citations), Human-Computer Interaction (44 citations), Management of Technology and Innovation (36 citations), Human Factors and Ergonomics (10 citations) and Demography (46 citations). Michela Cozza has collaborated with scholars based in Sweden, Italy and United Kingdom. Frequent co-authors include Antonella De Angeli, Silvia Gherardi, Lucia Crevani, Anette Hallin, Barbara Poggio, Nikki Fairchild, Angelo Benozzo, Carol Taylor, Neil Carey and Mirka Koro‐Ljungberg. Their work appears in journals such as Gender Work and Organization, Sociology Compass, Futures, Personal and Ubiquitous Computing and Science as Culture.

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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