Žan Lep

775 citations
22 papers · 245 · h-index 7

Impact in

Papers in

Žan Lep

19 papers receiving 231 citations

Peers

Žan Lep
Comparison fields: 5 of 67
  • Health 100
  • Modeling and Simulation 21
  • Applied Psychology 20
  • Clinical Psychology 63
  • Sociology and Political Science 82
Replace Gabriel Andrade with:
Gabriel Andrade United Arab Emirates
Clarissa Cricenti Italy
Shikha Kukreti Taiwan
Courtney Moore United States
Mathias Schmitz Belgium
Samantha Sinclair Sweden
Martina Barjaková Ireland
Kala J. Melchiori United States
Lindsey W. Vilca Peru
Scott Bokemper United States
Žan Lep relative to Gabriel Andrade United Arab Emirates Gabriel Andrade's profile →
Citations per field
00.5×1.5×1.8×
Gabriel Andrade · 1×
Citations per year

Countries citing papers authored by Žan Lep

Since Specialization
Citations

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

Fields of papers citing papers by Žan Lep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 202065
3 202316
4 202316
5 202116
6 20227
7 20216
8 20226
9 20225
10 20224
11 20212
12 20222
13 20242
14 20242
15 20212
16 20241
17 20231
18 20201
19 20231
20 20240

About Žan Lep

Žan Lep is a scholar working on Social Psychology, Sociology and Political Science, Clinical Psychology, Health and Accounting, having authored 22 papers that have together received 245 indexed citations. Recurring topics across this work include Psychological Well-being and Life Satisfaction (7 papers), COVID-19 and Mental Health (6 papers), Intergenerational Family Dynamics and Caregiving (3 papers), Social and Intergroup Psychology (3 papers), Misinformation and Its Impacts (3 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Health disparities and outcomes (3 papers) and Social Media and Politics (2 papers). The work is most often cited by research in Health (100 citations), Modeling and Simulation (21 citations), Applied Psychology (20 citations), Clinical Psychology (63 citations) and Sociology and Political Science (82 citations). Žan Lep has collaborated with scholars based in Slovenia, Italy and Portugal. Frequent co-authors include Katarina Babnik, Kaja Damnjanović, Maja Zupančič, Nikša Alfirević, Ana Paula Relvas, Margherita Lanz, Angela Sorgente, Rimantas Vosylis, Joyce Serido and Gabriela Fonseca. Their work appears in journals such as Frontiers in Psychology, Journal of Happiness Studies, Scientific Reports, European Journal of Psychological Assessment and Emerging Adulthood.

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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