Vladimir Risojević

645 citations
38 papers · 412 · h-index 11

Impact in

Papers in

Vladimir Risojević

35 papers receiving 395 citations

Peers

Vladimir Risojević
Comparison fields: 5 of 78
  • Media Technology 177
  • Computer Vision and Pattern Recognition 198
  • Computational Mathematics 4
  • Insect Science 53
  • Atmospheric Science 57
Replace Fábio A. Faria with:
Fábio A. Faria Brazil
Efrén González Mexico
Dı́bio Leandro Borges Brazil
Maurice Saccani Italy
Shahid Khattak Pakistan
Dong Liang China
Xun Wang China
Baofeng Guo United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Vladimir Risojević

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Risojević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201256
2 201641
3 201435
4 201632
5 201132
6 202129
7 201823
8 201814
9 202112
10 202212
11 201610
12 201310
13 201810
14 201810
15
Indoor RFID localization improved by motion segmentation
20119
16 20198
17 20117
18 20187
19 20137
20
Orientation difference descriptor for aerial image classification
20126

About Vladimir Risojević

Vladimir Risojević is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 38 papers that have together received 412 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Remote-Sensing Image Classification (15 papers), Image Retrieval and Classification Techniques (9 papers), Insect and Arachnid Ecology and Behavior (5 papers), Insect and Pesticide Research (4 papers), Plant and animal studies (4 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Media Technology (177 citations), Computer Vision and Pattern Recognition (198 citations), Computational Mathematics (4 citations), Insect Science (53 citations) and Atmospheric Science (57 citations). Vladimir Risojević has collaborated with scholars based in Bosnia and Herzegovina, Slovenia and Serbia. Frequent co-authors include Zdenka Babić, Aleksej Avramović, Patricio Bulić, Nikola Kezić, Janja Filipi, Mario Muštra, Mitar Simić, Eirik Svendsen, Goran M. Stojanović and Annette Stahl. Their work appears in journals such as Sensors, The Science of The Total Environment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

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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