Marko Grobelnik

4.7k total citations
126 papers, 2.4k citations indexed

About

Marko Grobelnik is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marko Grobelnik has authored 126 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 35 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marko Grobelnik's work include Semantic Web and Ontologies (38 papers), Advanced Text Analysis Techniques (22 papers) and Topic Modeling (21 papers). Marko Grobelnik is often cited by papers focused on Semantic Web and Ontologies (38 papers), Advanced Text Analysis Techniques (22 papers) and Topic Modeling (21 papers). Marko Grobelnik collaborates with scholars based in Slovenia, United Kingdom and United States. Marko Grobelnik's co-authors include Dunja Mladenić, Janez Brank, Nataša Milić-Frayling, Blaž Fortuna, John Shawe‐Taylor, Salman Taherizadeh, Craig Saunders, Jure Leskovec, Steve Gunn and Gregor Leban and has published in prestigious journals such as The Journal of Physiology, The Journal of Economic Perspectives and IEEE Access.

In The Last Decade

Marko Grobelnik

120 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Grobelnik Slovenia 26 1.6k 861 362 333 252 126 2.4k
Dunja Mladenić Slovenia 29 1.7k 1.1× 879 1.0× 469 1.3× 223 0.7× 222 0.9× 168 2.9k
Shaul Markovitch Israel 24 3.2k 2.0× 930 1.1× 344 1.0× 237 0.7× 200 0.8× 70 3.7k
Andrew I. Schein United States 9 862 0.6× 1.0k 1.2× 375 1.0× 209 0.6× 192 0.8× 15 1.8k
Kuansan Wang United States 23 2.0k 1.3× 960 1.1× 502 1.4× 276 0.8× 207 0.8× 65 3.1k
Christopher Meek United States 15 1.6k 1.1× 578 0.7× 347 1.0× 233 0.7× 129 0.5× 41 2.5k
Ioannis Katakis Greece 13 2.2k 1.4× 842 1.0× 772 2.1× 434 1.3× 160 0.6× 36 2.9k
Γεώργιος Παλιούρας Greece 25 1.6k 1.1× 1.1k 1.2× 273 0.8× 322 1.0× 595 2.4× 133 2.5k
Jason D. M. Rennie United States 12 1.8k 1.1× 993 1.2× 478 1.3× 153 0.5× 295 1.2× 19 2.6k
D. Sculley United States 21 1.7k 1.1× 940 1.1× 641 1.8× 343 1.0× 453 1.8× 37 3.4k

Countries citing papers authored by Marko Grobelnik

Since Specialization
Citations

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

Fields of papers citing papers by Marko Grobelnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Grobelnik

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Grobelnik. A scholar is included among the top collaborators of Marko Grobelnik 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 Marko Grobelnik. Marko Grobelnik 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
1.
Zajec, Patrik, et al.. (2024). Enhancing Cognitive Digital Twin Interaction using an LLM Agent. 103–107. 8 indexed citations
2.
Mladenić, Dunja, et al.. (2024). Evaluating Text Generation Model Performance by Combining Semantic Meaning and Word Order. IEEE Access. 12. 95265–95277.
3.
Rožanec, Jože M., et al.. (2023). AI, What Does the Future Hold for Us? Automating Strategic Foresight. 247–248. 1 indexed citations
4.
Leban, Gregor, et al.. (2023). Semi-Supervised Event Predictions with Graph Networks. 245–246. 1 indexed citations
5.
Mladenić, Dunja, et al.. (2022). Why is a document relevant? Understanding the relevance scores in cross-lingual document retrieval. Knowledge-Based Systems. 244. 108545–108545. 8 indexed citations
6.
Taherizadeh, Salman, Vlado Stankovski, & Marko Grobelnik. (2018). A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers. Sensors. 18(9). 2938–2938. 76 indexed citations
7.
Grobelnik, Marko, et al.. (2018). Mining Medline for the Visualisation of a Global Perspective on Biomedical Knowledge. Open Research Online (The Open University). 1 indexed citations
8.
Leban, Gregor, Blaž Fortuna, Janez Brank, & Marko Grobelnik. (2014). Cross-lingual detection of world events from news articles. International Semantic Web Conference. 21–24. 2 indexed citations
9.
Fortuna, Blaž, et al.. (2009). Semantic Graphs Derived from Triplets with Application in Document Summarization. Informatica (slovenia). 33. 357–362. 24 indexed citations
10.
Radovanović, Miloš, et al.. (2007). Mining and visualizing scientific publication data from Vojvodina.. Novi Sad Journal of Mathematics. 37(2). 161–180. 1 indexed citations
11.
Saunders, Craig, S.R. Gunn, Marko Grobelnik, & John Shawe‐Taylor. (2006). Subspace, Latent Structure and Feature Selection techniques. UCL Discovery (University College London). 43 indexed citations
12.
Saunders, Craig, Marko Grobelnik, Steve Gunn, & John Shawe‐Taylor. (2006). Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005Bohinj, Slovenia, February 23-25, 2005 ... Papers (Lecture Notes in Computer Science). Springer eBooks. 5 indexed citations
13.
Leskovec, Jure, Nataša Milić-Frayling, & Marko Grobelnik. (2005). Impact of linguistic analysis on the semantic graph coverage and learning of document extracts. National Conference on Artificial Intelligence. 1069–1074. 27 indexed citations
14.
Adibi, Jafar, Marko Grobelnik, Dunja Mladenić, & Patrick Pantel. (2005). Proceedings of the 3rd international workshop on Link discovery. Knowledge Discovery and Data Mining. 89 indexed citations
15.
Leskovec, Jure, Marko Grobelnik, & Nataša Milić-Frayling. (2004). Learning Sub-Structures of Document Semantic Graphs for Document Summarization. Zenodo (CERN European Organization for Nuclear Research). 48 indexed citations
16.
Grobelnik, Marko & Dunja Mladenić. (2004). Visualization of news articles. Informatica (slovenia). 28. 375–380. 18 indexed citations
17.
Grobelnik, Marko & Dunja Mladenić. (2002). Efficient Visualization of Large Text Corpora. Acta Neuropathologica Communications. 11(1). 106–106. 8 indexed citations
18.
Brank, Janez, et al.. (2002). Feature Selection Using Support Vector Machines. WIT transactions on information and communication technologies. 28. 51 indexed citations
19.
Grobelnik, Marko, et al.. (2001). Insights offered by data-mining when analyzing media space data.. Informatica (slovenia). 25. 5 indexed citations
20.
Grobelnik, Marko. (2000). SEMI-AUTOMATIC DATA-DRIVEN ONTOLOGY CONSTRUCTION SYSTEM. Information Systems. 38 indexed citations

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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