V. Brajovic

705 citations
20 papers · 253 · h-index 8

Impact in

Papers in

V. Brajovic

20 papers receiving 231 citations

Peers

V. Brajovic
Comparison fields: 5 of 34
  • Instrumentation 49
  • Media Technology 82
  • Computer Vision and Pattern Recognition 92
  • Electrical and Electronic Engineering 162
  • Acoustics and Ultrasonics 2
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Keith Findlater United Kingdom
Danny Scheffer Belgium
Hirofumi Sumi Japan
Diederik Paul Moeys Switzerland
Yoshinori Muramatsu Japan
Y. Nitta Japan
Hyunsurk Ryu South Korea
Kaiming Nie China
S. Decker United States
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Citations per field
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Citations per year

Countries citing papers authored by V. Brajovic

Since Specialization
Citations

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

Fields of papers citing papers by V. Brajovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside V. Brajovic, 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 V. Brajovic Line = papers co-authored together V. Brajovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199863
2 200239
3 200230
4 199927
5 200417
6 200517
7 201112
8 199810
9
Sensory Attention: Computational Sensor Paradigm for Low-Latency Adaptive Vision
19977
10
New Massively Parallel Technique for Global Operations in Embedded Imagers
19956
11 20036
12
Computational Sensors for Global Operations in Vision
19963
13 20003
14 20123
15
An Object Tracking Computational Sensor
20012
16
Integrated Vision and Sensing for Human Sensory Augmentation
19972
17 20042
18 20002
19 20041
20 20031

About V. Brajovic

V. Brajovic is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Media Technology, Cognitive Neuroscience and Aerospace Engineering, having authored 20 papers that have together received 253 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (14 papers), Image Processing Techniques and Applications (4 papers), Infrared Target Detection Methodologies (3 papers), Advanced Vision and Imaging (3 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (3 papers), Visual Attention and Saliency Detection (2 papers) and Advanced Optical Sensing Technologies (2 papers). The work is most often cited by research in Instrumentation (49 citations), Media Technology (82 citations), Computer Vision and Pattern Recognition (92 citations), Electrical and Electronic Engineering (162 citations) and Acoustics and Ultrasonics (2 citations). V. Brajovic has collaborated with scholars based in United States and Serbia. Frequent co-authors include Takeo Kanade, Nebojša Janković, K. Mori, Yiannis Aloimonos, Jan Neumann, Cornelia Fermüller and Karl Amundson. Their work appears in journals such as Electronics Letters, IEEE Transactions on Robotics and Automation, IEEE Journal of Solid-State Circuits, Neural Networks and Sensor Review.

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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