Marko Boben

901 citations
20 papers · 456 · h-index 9

Impact in

Papers in

Marko Boben

20 papers receiving 425 citations

Peers

Marko Boben
Comparison fields: 5 of 63
  • Discrete Mathematics and Combinatorics 73
  • Computer Vision and Pattern Recognition 257
  • Media Technology 49
  • Artificial Intelligence 176
  • Geometry and Topology 35
Replace Mirkó Visontai with:
Mirkó Visontai United States
Weiqiang Wang China
Stéphane Durocher Canada
Matthew D. Mullin United States
Yoram Gdalyahu Israel
Amir massoud Farahmand Canada
Zhuoping Zhou United States
Predrag Neskovic United States
W Brauer Germany
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Citations per field
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Mirkó Visontai · 1×
Citations per year

Countries citing papers authored by Marko Boben

Since Specialization
Citations

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

Fields of papers citing papers by Marko Boben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Marko Boben, 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 Marko Boben Line = papers co-authored together Marko Boben links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2018175
2 201576
3 200838
4 200537
5 200329
6 200321
7 200613
8 201910
9
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
20098
10 20157
11 20097
12 20136
13
Evaluating multi-class learning strategies in a hierarchical framework for object detection
20095
14 20065
15
Learning statistically relevant edge structure improves low-level visual descriptors
20125
16 20154
17 20114
18 20094
19 20111
20 20091

About Marko Boben

Marko Boben is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Media Technology, having authored 20 papers that have together received 456 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), graph theory and CDMA systems (7 papers), Finite Group Theory Research (7 papers), Remote-Sensing Image Classification (5 papers), Coding theory and cryptography (5 papers), Image Retrieval and Classification Techniques (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (73 citations), Computer Vision and Pattern Recognition (257 citations), Media Technology (49 citations), Artificial Intelligence (176 citations) and Geometry and Topology (35 citations). Marko Boben has collaborated with scholars based in Slovenia, Canada and United Kingdom. Frequent co-authors include Sanja Fidler, Tomaž Pisanski, Xavier Puig, Antonio Torralba, Tingwu Wang, Jiaman Li, Aleš Leonardis, Jian Yao, Raquel Urtasun and Branko Grünbaum. Their work appears in journals such as The Electronic Journal of Combinatorics, Discrete Mathematics, Journal of Combinatorial Designs, Discrete & Computational Geometry and European Journal of Combinatorics.

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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