Lan Umek

43 papers receiving 3.3k citations

Lan Umek's Hit Papers

Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave 2021 · 285 citations
2850+4+8Years since publication4008001.2k

Peers

Lan Umek
Comparison fields: 5 of 214
  • Computer Science Applications 238
  • Clinical Psychology 716
  • Education 689
  • Information Systems 521
  • Information Systems and Management 108
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Citations per year

Countries citing papers authored by Lan Umek

Since Specialization
Citations

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

Fields of papers citing papers by Lan Umek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Orange: data mining toolbox in python
Hit paper breakdown →
20131329
2
Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective
Hit paper breakdown →
20201135
3
Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave
Hit paper breakdown →
2021285
4 2020116
5 201983
6 201558
7 202344
8 202244
9 202235
10 201627
11 200925
12 201421
13 201321
14 201719
15 202118
16 201717
17 201112
18 201612
19
Moodle E-Learning System and Students' Performance in Higher Education: The Case of Public Administration Programmes.
201510
20
Determining Factors of Students' Perceived Usefulness of E-Learning in Higher Education.
201610

About Lan Umek

Lan Umek is a scholar working on Education, Political Science and International Relations, Law, Information Systems and Computer Science Applications, having authored 47 papers that have together received 3.4k indexed citations. Recurring topics across this work include Online and Blended Learning (11 papers), Legal and Policy Issues (8 papers), E-Government and Public Services (7 papers), E-Learning and Knowledge Management (5 papers), Online Learning and Analytics (5 papers), COVID-19 and Mental Health (4 papers), Horticultural and Viticultural Research (4 papers) and Fermentation and Sensory Analysis (4 papers). The work is most often cited by research in Computer Science Applications (238 citations), Clinical Psychology (716 citations), Education (689 citations), Information Systems (521 citations) and Information Systems and Management (108 citations). Lan Umek has collaborated with scholars based in Slovenia, Portugal and United States. Frequent co-authors include Aleksander Aristovnik, Dejan Ravšelj, Nina Tomaževič, Damijana Keržič, Blaž Zupan, Marko Toplak, Marinka Žitnik, Tomaž Curk, Janez Demšar and Jure Žbontar. Their work appears in journals such as Sustainability, Interactive Technology and Smart Education, Yeast, International Journal of Innovation and Learning and PLoS ONE.

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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