Dmytro Bobkov

424 citations
11 papers · 328 · h-index 6

Impact in

Papers in

Dmytro Bobkov

11 papers receiving 319 citations

Peers

Dmytro Bobkov
Comparison fields: 5 of 43
  • Geology 41
  • Computer Vision and Pattern Recognition 141
  • Aerospace Engineering 120
  • Ocean Engineering 71
  • Media Technology 39
Replace Gabriel Deak with:
Gabriel Deak United Kingdom
Sebastian Hilsenbeck Germany
Jichao Jiao China
Pedro Porto Buarque de Gusmão United Kingdom
Francisco A. Lago Spain
Han-Pang Chiu United States
Chengkai Tang China
Guohao Peng Singapore
Hongbing Qiu China
Shigemi Nagata Japan
Dmytro Bobkov relative to Gabriel Deak United Kingdom Gabriel Deak's profile →
Citations per field
00.5×4.1×
Gabriel Deak · 1×
Citations per year

Countries citing papers authored by Dmytro Bobkov

Since Specialization
Citations

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

Fields of papers citing papers by Dmytro Bobkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Dmytro Bobkov, 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 Dmytro Bobkov Line = papers co-authored together Dmytro Bobkov links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014112
2 201984
3 201450
4 201939
5 201816
6 201712
7 20155
8 20194
9 20202
10 20172
11 20192

About Dmytro Bobkov

Dmytro Bobkov is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Electrical and Electronic Engineering and Computational Mechanics, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (5 papers), Video Surveillance and Tracking Methods (3 papers), Indoor and Outdoor Localization Technologies (3 papers), 3D Shape Modeling and Analysis (2 papers), Remote Sensing and LiDAR Applications (2 papers), Energy Efficient Wireless Sensor Networks (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Geology (41 citations), Computer Vision and Pattern Recognition (141 citations), Aerospace Engineering (120 citations), Ocean Engineering (71 citations) and Media Technology (39 citations). Dmytro Bobkov has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Eckehard Steinbach, Sebastian Hilsenbeck, Georg Schroth, Robert Huitl, Wenbin Zou, Xia Li, Zhi Jin, Thomas Jost, Patrick Robertson and Lei Han. Their work appears in journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Multimedia and Pattern Recognition 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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