Mercè Mach

15 papers receiving 414 citations

Peers

Mercè Mach
Comparison fields: 5 of 66
  • Organizational Behavior and Human Resource Management 164
  • Social Psychology 161
  • Communication 57
  • Leadership and Management 7
  • Applied Psychology 19
Replace Sara M. Willis with:
Sara M. Willis United Kingdom
Jian An Zhong China
C. Justice Tillman United States
Sandra Anne Kiffin-Petersen Australia
Lee J. Konczak United States
B. Charles Tatum United States
Robert Roe Netherlands
Philip S. DeOrtentiis United States
Daniël Vloeberghs Belgium
Antonio León García Izquierdo Spain
Mercè Mach relative to Sara M. Willis United Kingdom Sara M. Willis's profile →
Citations per field
00.5×1.5×1.8×
Sara M. Willis · 1×
Citations per year

Countries citing papers authored by Mercè Mach

Since Specialization
Citations

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

Fields of papers citing papers by Mercè Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mercè Mach, 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 Mercè Mach Line = papers co-authored together Mercè Mach links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009166
2 201545
3 202141
4 201740
5 202240
6 201826
7 202117
8 200517
9 201615
10 202012
11 20216
12 20215
13 20244
14 20182
15 20111

About Mercè Mach

Mercè Mach is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Developmental and Educational Psychology, General Health Professions and Strategy and Management, having authored 15 papers that have together received 437 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (6 papers), Employment and Welfare Studies (5 papers), Workplace Health and Well-being (5 papers), Sports Analytics and Performance (4 papers), Motivation and Self-Concept in Sports (4 papers), Sport Psychology and Performance (4 papers), Team Dynamics and Performance (3 papers) and Innovation and Knowledge Management (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (164 citations), Social Psychology (161 citations), Communication (57 citations), Leadership and Management (7 citations) and Applied Psychology (19 citations). Mercè Mach has collaborated with scholars based in Spain, Portugal and France. Frequent co-authors include Simón L. Dolan, Shay S. Tzafrir, Aristides Isidoro Ferreira, Yehuda Baruch, Luis F. Martinez, Grace K. Dagher, Mariella Miraglia, Amália Raquel Pérez-Nebra, Elena Lvina and Chris J. Brewster. Their work appears in journals such as Frontiers in Psychology, Assessment & Evaluation in Higher Education, European Sport Management Quarterly, Journal of Applied Sport Psychology and Applied Psychology.

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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