Denis Helić

1.8k citations
127 papers · 915 · h-index 16

Impact in

Papers in

Denis Helić

115 papers receiving 828 citations

Peers

Denis Helić
Comparison fields: 5 of 107
  • Computer Science Applications 184
  • Communication 146
  • Information Systems 319
  • Statistical and Nonlinear Physics 114
  • Artificial Intelligence 242
Replace Eelco Herder with:
Eelco Herder Germany
Fabian Abel Germany
Fabián Riquelme Chile
Rabeeh Ayaz Abbasi Pakistan
Bryce Boe United States
Ellen Spertus United States
Jacqueline Bourdeau Canada
Dan Goldwasser United States
Toine Bogers Denmark
Eduarda Mendes Rodrigues United Kingdom
Denis Helić relative to Eelco Herder Germany Eelco Herder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Denis Helić

Since Specialization
Citations

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

Fields of papers citing papers by Denis Helić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201461
2
E-Learning practices and Web 2.0
200743
3
Enabling Project-Based Learning in WBT Systems
200531
4 201226
5 201125
6 201825
7 202022
8 201321
9 201620
10 200918
11 200318
12 201917
13 201117
14 201016
15 202115
16 202215
17 201515
18 201215
19 200414
20
Web based training: What do we expect from the system
200013

About Denis Helić

Denis Helić is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Statistical and Nonlinear Physics and Communication, having authored 127 papers that have together received 915 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Recommender Systems and Techniques (19 papers), Wikis in Education and Collaboration (15 papers), Semantic Web and Ontologies (14 papers), Open Education and E-Learning (12 papers), Data Management and Algorithms (10 papers), Web Data Mining and Analysis (10 papers) and Topic Modeling (9 papers). The work is most often cited by research in Computer Science Applications (184 citations), Communication (146 citations), Information Systems (319 citations), Statistical and Nonlinear Physics (114 citations) and Artificial Intelligence (242 citations). Denis Helić has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Markus Strohmaier, Hermann Maurer, Christian Gütl, Christoph Trattner, Philipp Singer, Behnam Taraghi, Mark D. Griffiths, Michael Auer, Kristina Lerman and Christian Körner. Their work appears in journals such as Journal of Gambling Studies, Applied Network Science, PLoS ONE, International Journal of Mental Health and Addiction and Journal of Network and Computer Applications.

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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