Juil Sock

551 total citations
12 papers, 315 citations indexed

About

Juil Sock is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Juil Sock has authored 12 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Juil Sock's work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (4 papers) and Robot Manipulation and Learning (3 papers). Juil Sock is often cited by papers focused on Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (4 papers) and Robot Manipulation and Learning (3 papers). Juil Sock collaborates with scholars based in United Kingdom, South Korea and Portugal. Juil Sock's co-authors include Tae‐Kyun Kim, Kiho Kwak, Guillermo Garcia-Hernando, Caner Şahin, Jihong Min, Jun Kim, Luís Seabra Lopes, Sungdae Sim, Hamidreza Kasaei and Rigas Kouskouridas and has published in prestigious journals such as Sensors, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Juil Sock

12 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juil Sock United Kingdom	8	230	187	126	35	32	12	315
Jürgen Gall Germany	6	326 1.4×	147 0.8×	89 0.7×	37 1.1×	30 0.9×	13	432
Julian Ryde United States	10	191 0.8×	209 1.1×	52 0.4×	33 0.9×	33 1.0×	25	355
Randy Warner United States	2	131 0.6×	122 0.7×	49 0.4×	20 0.6×	23 0.7×	3	232
Marius Beul Germany	12	228 1.0×	245 1.3×	117 0.9×	17 0.5×	64 2.0×	17	383
Özgür Erkent Türkiye	9	161 0.7×	105 0.6×	43 0.3×	39 1.1×	17 0.5×	26	278
Josip Ćesić Croatia	10	130 0.6×	198 1.1×	31 0.2×	80 2.3×	23 0.7×	19	313
Guangyao Zhai China	9	170 0.7×	136 0.7×	49 0.4×	30 0.9×	30 0.9×	15	264
Mingxing Wen Singapore	12	208 0.9×	281 1.5×	39 0.3×	25 0.7×	12 0.4×	39	363
Johannes Pellenz Germany	9	142 0.6×	143 0.8×	59 0.5×	30 0.9×	19 0.6×	21	238
Eric Heiden United States	6	131 0.6×	130 0.7×	66 0.5×	32 0.9×	23 0.7×	16	236

Countries citing papers authored by Juil Sock

Since Specialization

Citations

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

Fields of papers citing papers by Juil Sock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juil Sock

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

All Works

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12 of 12 papers shown

Yang, Fei, et al.. (2024). Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6416–6429. 5 indexed citations

Wan, Shuai, et al.. (2024). Lightweight Deep Exemplar Colorization via Semantic Attention-Guided Laplacian Pyramid. IEEE Transactions on Visualization and Computer Graphics. 31(8). 4257–4269. 2 indexed citations

Şahin, Caner, Guillermo Garcia-Hernando, Juil Sock, & Tae‐Kyun Kim. (2020). A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators. Image and Vision Computing. 96. 103898–103898. 65 indexed citations

Sock, Juil, et al.. (2020). Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images. 291–300. 21 indexed citations

Şahin, Caner, Guillermo Garcia-Hernando, Juil Sock, & Tae‐Kyun Kim. (2020). A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators. arXiv (Cornell University). 2 indexed citations

Sock, Juil, Guillermo Garcia-Hernando, & Tae‐Kyun Kim. (2020). Active 6D Multi-Object Pose Estimation in Cluttered Scenarios with Deep Reinforcement Learning. 10564–10571. 12 indexed citations

Kasaei, Shohreh, Juil Sock, Luís Seabra Lopes, Ana Maria Tomé, & Tae‐Kyun Kim. (2018). Perceiving, Learning, and Recognizing 3D Objects: An Approach to Cognitive Service Robots. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 20 indexed citations

Balntas, Vassileios, Andreas Doumanoglou, Caner Şahin, et al.. (2017). Pose Guided RGBD Feature Learning for 3D Object Pose Estimation. 3876–3884. 48 indexed citations

Sock, Juil, Hamidreza Kasaei, Luís Seabra Lopes, & Tae‐Kyun Kim. (2017). Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images. 2228–2235. 41 indexed citations

10.

Sock, Juil, Jun Kim, Jihong Min, & Kiho Kwak. (2016). Probabilistic traversability map generation using 3D-LIDAR and camera. 5631–5637. 62 indexed citations

11.

Sim, Sungdae, Juil Sock, & Kiho Kwak. (2016). Indirect Correspondence-Based Robust Extrinsic Calibration of LiDAR and Camera. Sensors. 16(6). 933–933. 35 indexed citations

12.

Sock, Juil, et al.. (2014). Probabilistic traversability map building for autonomous navigation. 652–655. 2 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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