Tomaž Bartol

989 citations
44 papers · 672 · h-index 14

Impact in

Papers in

Tomaž Bartol

41 papers receiving 626 citations

Peers

Tomaž Bartol
Comparison fields: 5 of 117
  • Library and Information Sciences 73
  • Statistics, Probability and Uncertainty 69
  • Computer Science Applications 42
  • Information Systems 173
  • Communication 35
Replace A. N. Zainab with:
A. N. Zainab Malaysia
Umut Al Türkiye
Primož Južnič Slovenia
Christine Stilwell South Africa
Winner Dominic Chawinga Malawi
Alfred Said Sife Tanzania
Claire R. McInerney United States
Mpho Ngoepe South Africa
Allam Ahmed United Kingdom
Gillian Ragsdell United Kingdom
Tomaž Bartol relative to A. N. Zainab Malaysia A. N. Zainab's profile →
Citations per field
00.5×3.1×
A. N. Zainab · 1×
Citations per year

Countries citing papers authored by Tomaž Bartol

Since Specialization
Citations

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

Fields of papers citing papers by Tomaž Bartol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Tomaž Bartol, 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 Tomaž Bartol Line = papers co-authored together Tomaž Bartol 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 2013174
2 201692
3 201886
4 201545
5 201529
6 201923
7 201321
8 201521
9 202019
10 201617
11 201616
12 201816
13 202115
14 200515
15 20059
16 20159
17 20098
18 20226
19 20226
20 20204

About Tomaž Bartol

Tomaž Bartol is a scholar working on Information Systems, Library and Information Sciences, Statistics, Probability and Uncertainty, Computer Science Applications and Plant Science, having authored 44 papers that have together received 672 indexed citations. Recurring topics across this work include Library Science and Information Literacy (8 papers), scientometrics and bibliometrics research (7 papers), Information Retrieval and Search Behavior (3 papers), Library Collection Development and Digital Resources (3 papers), Educational Strategies and Epistemologies (3 papers), Gender and Technology in Education (3 papers), Digital literacy in education (3 papers) and Personal Information Management and User Behavior (2 papers). The work is most often cited by research in Library and Information Sciences (73 citations), Statistics, Probability and Uncertainty (69 citations), Computer Science Applications (42 citations), Information Systems (173 citations) and Communication (35 citations). Tomaž Bartol has collaborated with scholars based in Slovenia, Poland and Greece. Frequent co-authors include Bojana Boh Podgornik, Primož Južnič, Andrej Šorgo, Maria Mackiewicz-Talarczyk, Stanislav Trdan, Klemen Eler, Basileios J. Vayias, Tanja Bohinc, Bojana Boh and Damjana Drobne. Their work appears in journals such as Scientometrics, British Journal of Educational Technology, Library & Information Science Research, Program electronic library and information systems and The Journal of Academic Librarianship.

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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