Lan Umek

5.5k total citations · 3 hit papers
43 papers, 3.1k citations indexed

About

Lan Umek is a scholar working on Education, Political Science and International Relations and Law. According to data from OpenAlex, Lan Umek has authored 43 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Education, 8 papers in Political Science and International Relations and 8 papers in Law. Recurrent topics in Lan Umek's work include Online and Blended Learning (11 papers), Legal and Policy Issues (8 papers) and E-Government and Public Services (7 papers). Lan Umek is often cited by papers focused on Online and Blended Learning (11 papers), Legal and Policy Issues (8 papers) and E-Government and Public Services (7 papers). Lan Umek collaborates with scholars based in Slovenia, Portugal and Germany. Lan Umek's co-authors include Aleksander Aristovnik, Dejan Ravšelj, Nina Tomaževič, Damijana Keržič, Blaž Zupan, Martin Možina, Janez Demšar, Marinka Žitnik, Tomaž Curk and Miha Štajdohar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

Lan Umek

40 papers receiving 3.0k citations

Hit Papers

Orange: data mining toolbox in python 2013 2026 2017 2021 2013 2020 2021 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Orange: data mining toolbox in python
    2013 1.2k citations Janez Demšar, Tomaž Curk et al. Journal of Machine Learning Research profile →
  2. Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective
    2020 1.0k citations Aleksander Aristovnik, Damijana Keržič et al. Sustainability profile →
  3. Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave
    2021 278 citations Aleksander Aristovnik, Dejan Ravšelj et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lan Umek Slovenia 16 764 649 467 297 278 43 3.1k
Natalie H. Brito United States 21 406 0.5× 508 0.8× 183 0.4× 125 0.4× 228 0.8× 55 3.5k
Zheng Yan United States 24 407 0.5× 806 1.2× 348 0.7× 105 0.4× 135 0.5× 80 3.4k
Paul Cairns United Kingdom 45 643 0.8× 299 0.5× 391 0.8× 756 2.5× 345 1.2× 194 8.0k
Leland Wilkinson United States 29 446 0.6× 331 0.5× 207 0.4× 908 3.1× 383 1.4× 75 6.1k
Neil J. Salkind United States 21 384 0.5× 804 1.2× 144 0.3× 143 0.5× 116 0.4× 52 3.7k
Carl J. Huberty United States 27 635 0.8× 767 1.2× 139 0.3× 329 1.1× 181 0.7× 79 5.4k
Shelby J. Haberman United States 34 221 0.3× 371 0.6× 180 0.4× 648 2.2× 93 0.3× 187 4.7k
Sushil K. Sharma United States 39 367 0.5× 188 0.3× 257 0.6× 125 0.4× 851 3.1× 193 5.7k
Robin Cohen Canada 31 689 0.9× 219 0.3× 667 1.4× 1.2k 4.0× 97 0.3× 177 4.2k
Frank B. Baker United States 27 412 0.5× 529 0.8× 316 0.7× 549 1.8× 73 0.3× 107 4.0k

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-authorship network of co-authors of Lan Umek

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Umek. A scholar is included among the top collaborators of Lan Umek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lan Umek. Lan Umek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Aristovnik, Aleksander, Lan Umek, & Dejan Ravšelj. (2024). Artificial Intelligence in Public Administration: A Bibliometric Review in Comparative Perspective. Lecture notes in networks and systems. 126–140. 2 indexed citations
6.
Tomaževič, Nina, Polonca Kovać, Dejan Ravšelj, et al.. (2023). The Role of Agile Values in Enhancing Good Governance in Public Administration during the COVID-19 Crisis: An International Survey. Administrative Sciences. 13(12). 248–248. 4 indexed citations
7.
Ravšelj, Dejan, et al.. (2022). Bibliometric Analysis of Smart Public Governance Research: Smart City and Smart Government in Comparative Perspective. Social Sciences. 11(7). 293–293. 30 indexed citations
8.
Aristovnik, Aleksander, Dejan Ravšelj, & Lan Umek. (2022). Covid-19 Pandemic and Disruptive Technologies Across Scientific Areas: A Bibliometric Review. Lecture notes in networks and systems. 567–580. 2 indexed citations
9.
Ravšelj, Dejan, Lan Umek, Ljupčo Todorovski, & Aleksander Aristovnik. (2022). A Review of Digital Era Governance Research in the First Two Decades: A Bibliometric Study. Future Internet. 14(5). 126–126. 37 indexed citations
10.
Aristovnik, Aleksander, et al.. (2022). Mapping research trends on disruptive technologies in public administration: A bibliometric approach. IT University Of Copenhagen (IT University of Copenhagen).
11.
Aristovnik, Aleksander, Polonca Kovać, Dejan Ravšelj, et al.. (2021). The Use of ICT by Local General Administrative Authorities during COVID-19 for a Sustainable Future: Comparing Five European Countries. Sustainability. 13(21). 11765–11765. 16 indexed citations
12.
Aristovnik, Aleksander, et al.. (2021). Impacts of the Covid-19 Pandemic on Life of Higher Education Students: Global Survey Dataset from the First Wave. SHILAP Revista de lepidopterología. 39. 107659–107659. 278 indexed citations breakdown →
13.
Umek, Lan, et al.. (2021). Father’s participation in childcare and household tasks. Revija za socijalnu politiku. 28(1). 47–68.
14.
Keržič, Damijana, Nina Tomaževič, Aleksander Aristovnik, & Lan Umek. (2021). Predicting Students' Outcomes in Blended Learning: An Empirical Investigation in the Higher Education Context. Tehnicki vjesnik - Technical Gazette. 28(1). 2 indexed citations
15.
Aristovnik, Aleksander, Damijana Keržič, Dejan Ravšelj, Nina Tomaževič, & Lan Umek. (2020). Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective. Sustainability. 12(20). 8438–8438. 1023 indexed citations breakdown →
16.
Umek, Lan, Nina Tomaževič, Aleksander Aristovnik, & Damijana Keržič. (2017). Predictors of Student Performance in a Blended-Learning Environment: An Empirical Investigation.. International Association for Development of the Information Society. 3 indexed citations
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Aristovnik, Aleksander, Damijana Keržič, Nina Tomaževič, & Lan Umek. (2016). Determining Factors of Students' Perceived Usefulness of E-Learning in Higher Education.. International Association for Development of the Information Society. 7 indexed citations
18.
Umek, Lan, Damijana Keržič, Nina Tomaževič, & Aleksander Aristovnik. (2015). Moodle E-Learning System and Students' Performance in Higher Education: The Case of Public Administration Programmes.. International Association for Development of the Information Society. 9 indexed citations
19.
Franco‐Duarte, Ricardo, Lan Umek, Elza Fonseca, et al.. (2013). Computational Models for Prediction of Yeast Strain Potential for Winemaking from Phenotypic Profiles. PLoS ONE. 8(7). e66523–e66523. 19 indexed citations
20.
Demšar, Janez, Tomaž Curk, Tomaž Hočevar, et al.. (2013). Orange: data mining toolbox in python. Journal of Machine Learning Research. 14(1). 2349–2353. 1239 indexed citations breakdown →

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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