Igor Bogoslavskyi

529 total citations
11 papers, 381 citations indexed

About

Igor Bogoslavskyi is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Instrumentation. According to data from OpenAlex, Igor Bogoslavskyi has authored 11 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Instrumentation. Recurrent topics in Igor Bogoslavskyi's work include Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (5 papers) and Advanced Optical Sensing Technologies (3 papers). Igor Bogoslavskyi is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (5 papers) and Advanced Optical Sensing Technologies (3 papers). Igor Bogoslavskyi collaborates with scholars based in Germany, Italy and United States. Igor Bogoslavskyi's co-authors include Cyrill Stachniss, Giorgio Grisetti, Jacopo Serafin, Luciano Spinello, Wolfram Burgard, V. A. Ziparo, Marc Proesmans, Luc Van Gool, Maren Bennewitz and Luigi Petti and has published in prestigious journals such as Robotics and Autonomous Systems, PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science and IRIS Research product catalog (Sapienza University of Rome).

In The Last Decade

Igor Bogoslavskyi

8 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Igor Bogoslavskyi Germany	8	246	229	147	102	68	11	381
Tim Caselitz Germany	6	281 1.1×	240 1.0×	86 0.6×	103 1.0×	45 0.7×	9	385
Kiho Kwak South Korea	9	215 0.9×	264 1.2×	73 0.5×	48 0.5×	70 1.0×	27	396
Aljoša Ošep Germany	9	152 0.6×	300 1.3×	64 0.4×	58 0.6×	95 1.4×	21	393
Lucas Nunes Germany	10	155 0.6×	202 0.9×	111 0.8×	72 0.7×	49 0.7×	19	318
Ryan W. Wolcott United States	5	439 1.8×	312 1.4×	178 1.2×	100 1.0×	132 1.9×	9	597
Xiaqing Ding China	14	430 1.7×	332 1.4×	111 0.8×	138 1.4×	28 0.4×	26	519
Yeong Sang Park South Korea	7	462 1.9×	265 1.2×	140 1.0×	132 1.3×	31 0.5×	7	533
Masashi Yokozuka Japan	10	415 1.7×	257 1.1×	174 1.2×	200 2.0×	32 0.5×	38	555
Daniele Cattaneo Germany	9	206 0.8×	164 0.7×	96 0.7×	92 0.9×	34 0.5×	18	308
Shiyu Song China	8	396 1.6×	355 1.6×	99 0.7×	108 1.1×	50 0.7×	14	528

Countries citing papers authored by Igor Bogoslavskyi

Since Specialization

Citations

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

Fields of papers citing papers by Igor Bogoslavskyi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Bogoslavskyi

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Bogoslavskyi. A scholar is included among the top collaborators of Igor Bogoslavskyi 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 Igor Bogoslavskyi. Igor Bogoslavskyi 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.

Bogoslavskyi, Igor, et al.. (2025). Adaptive Thresholding for Sequence-Based Place Recognition. 2219–2225.

2.

Bogoslavskyi, Igor, et al.. (2024). Fast and Robust Normal Estimation for Sparse LiDAR Scans. 6389–6395. 1 indexed citations

3.

Bogoslavskyi, Igor & Cyrill Stachniss. (2017). Efficient Online Segmentation for Sparse 3D Laser Scans. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 85(1). 41–52. 92 indexed citations

4.

Bogoslavskyi, Igor & Cyrill Stachniss. (2017). Analyzing the quality of matched 3D point clouds of objects. 6685–6690. 11 indexed citations

5.

Bogoslavskyi, Igor & Cyrill Stachniss. (2016). Fast range image-based segmentation of sparse 3D laser scans for online operation. 163–169. 180 indexed citations

6.

Bogoslavskyi, Igor, et al.. (2016). Robust exploration and homing for autonomous robots. Robotics and Autonomous Systems. 90. 125–135. 48 indexed citations

7.

Bogoslavskyi, Igor, et al.. (2016). Robust homing for autonomous robots. 2550–2556. 7 indexed citations

8.

Bogoslavskyi, Igor, Luciano Spinello, Wolfram Burgard, & Cyrill Stachniss. (2015). Where to park? minimizing the expected time to find a parking space. 2147–2152. 7 indexed citations

9.

Ziparo, V. A., Daniele Calisi, Giorgio Grisetti, et al.. (2014). A User Perspective on the Rovina Project. IRIS Research product catalog (Sapienza University of Rome). 578–582. 1 indexed citations

10.

Ziparo, V. A., Giorgio Grisetti, Jacopo Serafin, et al.. (2013). Exploration and mapping of catacombs with mobile robots. IRIS Research product catalog (Sapienza University of Rome). 1–2. 10 indexed citations

11.

Bogoslavskyi, Igor, et al.. (2013). Efficient traversability analysis for mobile robots using the Kinect sensor. IRIS Research product catalog (Sapienza University of Rome). 158–163. 24 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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