Dmytro Bobkov

424 total citations
11 papers, 328 citations indexed

About

Dmytro Bobkov is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Geology. According to data from OpenAlex, Dmytro Bobkov has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Geology. Recurrent topics in Dmytro Bobkov's work include Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (5 papers) and Indoor and Outdoor Localization Technologies (3 papers). Dmytro Bobkov is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), 3D Surveying and Cultural Heritage (5 papers) and Indoor and Outdoor Localization Technologies (3 papers). Dmytro Bobkov collaborates with scholars based in Germany, China and United States. Dmytro Bobkov's co-authors include Eckehard Steinbach, Sebastian Hilsenbeck, Georg Schroth, Robert Huitl, Xia Li, Wenbin Zou, Zhi Jin, Thomas Jost, Patrick Robertson and Lan Xu and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Robotics and Pattern Recognition Letters.

In The Last Decade

Dmytro Bobkov

11 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dmytro Bobkov Germany	6	160	141	120	71	43	11	328
Jichao Jiao China	11	166 1.0×	162 1.1×	143 1.2×	48 0.7×	51 1.2×	44	391
Chengkai Tang China	12	166 1.0×	121 0.9×	209 1.7×	66 0.9×	18 0.4×	82	462
Gabriel Deak United Kingdom	4	276 1.7×	64 0.5×	68 0.6×	98 1.4×	54 1.3×	5	349
Guohao Peng Singapore	11	78 0.5×	217 1.5×	244 2.0×	30 0.4×	21 0.5×	32	464
Sebastian Hilsenbeck Germany	10	249 1.6×	397 2.8×	429 3.6×	90 1.3×	40 0.9×	14	622
Zaiwei Zhang United States	9	86 0.5×	187 1.3×	79 0.7×	24 0.3×	35 0.8×	12	384
Taragay Oskiper United States	10	82 0.5×	208 1.5×	212 1.8×	19 0.3×	30 0.7×	24	384
Pedro Porto Buarque de Gusmão United Kingdom	9	96 0.6×	177 1.3×	216 1.8×	21 0.3×	23 0.5×	14	354
Hongbing Qiu China	13	253 1.6×	65 0.5×	105 0.9×	99 1.4×	53 1.2×	82	513
Han-Pang Chiu United States	12	55 0.3×	246 1.7×	188 1.6×	36 0.5×	20 0.5×	40	389

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-authorship network of co-authors of Dmytro Bobkov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmytro Bobkov. A scholar is included among the top collaborators of Dmytro Bobkov 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 Dmytro Bobkov. Dmytro Bobkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Bobkov, Dmytro, et al.. (2020). Fuzzy logic and histogram of normal orientation-based 3D keypoint detection for point clouds. Pattern Recognition Letters. 136. 40–47. 2 indexed citations

2.

Han, Lei, Lan Xu, Dmytro Bobkov, Eckehard Steinbach, & Lu Fang. (2019). Real-Time Global Registration for Globally Consistent RGB-D SLAM. IEEE Transactions on Robotics. 35(2). 498–508. 39 indexed citations

3.

Bobkov, Dmytro, et al.. (2019). Adaptive Fusion-Based 3D Keypoint Detection for RGB Point Clouds. 3711–3715. 2 indexed citations

4.

Bobkov, Dmytro, et al.. (2019). Efficient Panorama Database Indexing for Indoor Localization. 1–7. 4 indexed citations

5.

Jin, Zhi, et al.. (2019). A Flexible Deep CNN Framework for Image Restoration. IEEE Transactions on Multimedia. 22(4). 1055–1068. 84 indexed citations

6.

Bobkov, Dmytro, et al.. (2018). Noise-Resistant Deep Learning for Object Classification in Three-Dimensional Point Clouds Using a Point Pair Descriptor. IEEE Robotics and Automation Letters. 3(2). 865–872. 16 indexed citations

7.

Bobkov, Dmytro, et al.. (2017). Noise-resistant Unsupervised Object Segmentation in Multi-view Indoor Point Clouds. 149–156. 2 indexed citations

8.

Bobkov, Dmytro, et al.. (2017). Room segmentation in 3D point clouds using anisotropic potential fields. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 727–732. 12 indexed citations

9.

Bobkov, Dmytro, et al.. (2015). Activity recognition on handheld devices for pedestrian indoor navigation. 1–10. 5 indexed citations

10.

Bobkov, Dmytro, et al.. (2014). Pedestrian Simultaneous Localization and Mapping in Multistory Buildings Using Inertial Sensors. IEEE Transactions on Intelligent Transportation Systems. 15(4). 1714–1727. 50 indexed citations

11.

Hilsenbeck, Sebastian, Dmytro Bobkov, Georg Schroth, Robert Huitl, & Eckehard Steinbach. (2014). Graph-based data fusion of pedometer and WiFi measurements for mobile indoor positioning. 147–158. 112 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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