Sandra Penger

616 citations
44 papers · 425 · h-index 9

Impact in

Papers in

Sandra Penger

36 papers receiving 383 citations

Peers

Sandra Penger
Comparison fields: 5 of 68
  • Organizational Behavior and Human Resource Management 233
  • Human Factors and Ergonomics 32
  • Demography 70
  • Strategy and Management 92
  • Leadership and Management 6
Replace Dae Seok Chai with:
Dae Seok Chai United States
Essa Khan Pakistan
Büşra Müceldili Türkiye
Syed Saad Ahmed Pakistan
Chris Perryer Australia
Norashikin Hussein Malaysia
Chung-Kai Huang Taiwan
Tai-Kuang Peng Taiwan
Andrew B. Artis United States
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Citations per field
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Citations per year

Countries citing papers authored by Sandra Penger

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Penger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Sandra Penger, 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 Sandra Penger Line = papers co-authored together Sandra Penger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 201366
3 201461
4 201516
5
Testing Dunn & Dunn's and Honey & Mumford's Learning Style Theories: The Case of the Slovenian Higher Education System
200914
6 201113
7 201311
8 201910
9
Creation of Sustainable Leadership Development: Conceptual Model Validation
20139
10 20218
11 20118
12 20118
13 20156
14 20205
15 20104
16 20243
17 20113
18 20213
19 20203
20 20082

About Sandra Penger

Sandra Penger is a scholar working on Organizational Behavior and Human Resource Management, Management of Technology and Innovation, Strategy and Management, Demography and Education, having authored 44 papers that have together received 425 indexed citations. Recurring topics across this work include Organizational Learning and Leadership (7 papers), Retirement, Disability, and Employment (5 papers), Learning Styles and Cognitive Differences (5 papers), Management and Marketing Education (4 papers), Job Satisfaction and Organizational Behavior (4 papers), Collaboration in agile enterprises (4 papers), Emotional Intelligence and Performance (3 papers) and Entrepreneurship Studies and Influences (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (233 citations), Human Factors and Ergonomics (32 citations), Demography (70 citations), Strategy and Management (92 citations) and Leadership and Management (6 citations). Sandra Penger has collaborated with scholars based in Slovenia, Norway and Serbia. Frequent co-authors include Matej Černe, Barbara Grah, Vlado Dimovski, Miha Marič, Miha Škerlavaj, Metka Tekavčić, Judita Peterlin, Rok Pintar, David Bogataj and Marko Perić. Their work appears in journals such as European Journal of Innovation Management, Australian Journal of Management, Organizacija, Economic Research-Ekonomska Istraživanja and IFAC-PapersOnLine.

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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