Maria Luisa Giancaspro

19 papers receiving 1.0k citations

Hit Papers

Wellbeing Costs of Technology Use during Covid-19 Remote ...20202026202220242020100200300

Peers

Maria Luisa Giancaspro
Comparison fields: 5 of 99
  • Social Psychology 428
  • Organizational Behavior and Human Resource Management 416
  • Sociology and Political Science 321
  • Clinical Psychology 209
  • Education 164
Replace Paula Benevene with:
Paula Benevene Italy
Gaëtane Caesens Belgium
Rabindra Kumar Pradhan India
Liat Eldor United States
Alma Rodríguez-Sánchez Spain
Caroline Knight Australia
T.T. Selvarajan United States
Inam Ul Haq Pakistan
Alexandra Panaccio Canada
Andrés Salas‐Vallina Spain
Maria Luisa Giancaspro relative to Paula Benevene Italy Paula Benevene's profile →
Citations per field
00.5×1.5×
Paula Benevene · 1×
Citations per year

Countries citing papers authored by Maria Luisa Giancaspro

Since Specialization
Citations

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

Fields of papers citing papers by Maria Luisa Giancaspro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Luisa Giancaspro. 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 Maria Luisa Giancaspro. The network helps show where Maria Luisa Giancaspro may publish in the future.

Co-authorship network of co-authors of Maria Luisa Giancaspro

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 1
3 3
4 16
5 17
6 12
7 2
8 13
9 9
10 7
11 121
12 54
13 129
14
Wellbeing Costs of Technology Use during Covid-19 Remote Working: An Investigation Using the Italian Translation of the Technostress Creators Scalebreakdown →
324
15 50
16 42
17 10
18 279
19 4

About Maria Luisa Giancaspro

Maria Luisa Giancaspro is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Human Factors and Ergonomics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (10 papers), COVID-19 and Mental Health (4 papers) and Workplace Health and Well-being (4 papers). The work is most often cited by research in Human Factors and Ergonomics (106 citations), Organizational Behavior and Human Resource Management (416 citations) and Social Psychology (428 citations). Maria Luisa Giancaspro has collaborated with scholars based in Italy. Frequent co-authors include Amelia Manuti, Monica Molino, Emanuela Ingusci, Fulvio Signore, Claudio Giovanni Cortese, Vincenzo Russo, Margherita Zito, Anna Fausta Scardigno, Serafina Pastore and Daniele Morciano. Their work appears in journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology and Sustainability.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026