Mohamed Daassi

408 citations
13 papers · 285 · h-index 5

Impact in

Papers in

Mohamed Daassi

12 papers receiving 270 citations

Peers

Mohamed Daassi
Comparison fields: 5 of 35
  • Human-Computer Interaction 72
  • Marketing 89
  • Information Systems and Management 73
  • Computer Vision and Pattern Recognition 66
  • Museology 11
Replace Jun-Phil Uhm with:
Jun-Phil Uhm United States
Vahideh Arghashi Türkiye
Hee Jin Hur South Korea
Ruoxi Qi Hong Kong
Woo Bin Kim South Korea
Eonyou Shin United States
Aleksander Groth Austria
Ruijuan Wu China
Ji-Yeon Kim United States
Tadesse Bekele Hailu South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Mohamed Daassi

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Daassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Mohamed Daassi, 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 Mohamed Daassi Line = papers co-authored together Mohamed Daassi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2021174
2 201054
3 201332
4 20069
5 20076
6 20083
7
An exploratory investigation of group awareness in virtual project teams
20042
8
Le nouveau défi des équipes virtuelles : construire et maintenir une connaissance mutuelle
20071
9
Virtual Teams : The role of leadership in Trust Management
20071
10
A COMPARATIVE ANALYSIS OF COLLECTIVE AWARENESS BUILDING IN VIRTUAL TEAMS
20081
11
Building Collective Awareness in Virtual Teams: The Effect of Leadership Behavioral style
20091
12 20101
13 20250

About Mohamed Daassi

Mohamed Daassi is a scholar working on Social Psychology, Information Systems and Management, Computer Vision and Pattern Recognition, Marketing and Sociology and Political Science, having authored 13 papers that have together received 285 indexed citations. Recurring topics across this work include Team Dynamics and Performance (10 papers), Augmented Reality Applications (2 papers), Technology Adoption and User Behaviour (2 papers), Consumer Behavior and Marketing Influence (1 paper), Digital Marketing and Social Media (1 paper) and Marketing and Advertising Strategies (1 paper). The work is most often cited by research in Human-Computer Interaction (72 citations), Marketing (89 citations), Information Systems and Management (73 citations), Computer Vision and Pattern Recognition (66 citations) and Museology (11 citations). Mohamed Daassi has collaborated with scholars based in France. Frequent co-authors include Mathieu Favier, Nabila Jawadi and Michel Kalika. Their work appears in journals such as Information & Management, Journal of Marketing Management, Journal of the Association for Information Systems, Human Systems Management and International Journal of Business Information Systems.

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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