Soshi Iba

877 total citations
24 papers, 424 citations indexed

About

Soshi Iba is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Soshi Iba has authored 24 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 7 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Soshi Iba's work include Robot Manipulation and Learning (17 papers), Soft Robotics and Applications (4 papers) and Tactile and Sensory Interactions (4 papers). Soshi Iba is often cited by papers focused on Robot Manipulation and Learning (17 papers), Soft Robotics and Applications (4 papers) and Tactile and Sensory Interactions (4 papers). Soshi Iba collaborates with scholars based in United States, Japan and Germany. Soshi Iba's co-authors include Christiaan J. J. Paredis, Nawid Jamali, P.K. Khosla, Daniel Seita, Pradeep K. Khosla, Ken Goldberg, Ashwin Balakrishna, Ryan Hoque, Katsu Yamane and Peter Trautman and has published in prestigious journals such as The International Journal of Robotics Research, Autonomous Robots and IEEE Robotics and Automation Letters.

In The Last Decade

Soshi Iba

23 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soshi Iba United States 12 234 165 83 80 79 24 424
Yuzhe Qin United States 10 252 1.1× 147 0.9× 50 0.6× 82 1.0× 109 1.4× 21 390
Bowen Wen United States 9 284 1.2× 254 1.5× 58 0.7× 74 0.9× 97 1.2× 24 518
Benjamin Burchfiel United States 9 244 1.0× 150 0.9× 28 0.3× 120 1.5× 81 1.0× 16 506
Daniel Seita United States 14 300 1.3× 163 1.0× 33 0.4× 107 1.3× 174 2.2× 22 534
Balakumar Sundaralingam United States 12 345 1.5× 206 1.2× 56 0.7× 107 1.3× 129 1.6× 17 482
David Gossow Germany 6 199 0.9× 208 1.3× 66 0.8× 51 0.6× 46 0.6× 8 463
Ashwin Balakrishna United States 11 305 1.3× 107 0.6× 27 0.3× 137 1.7× 150 1.9× 30 554
Nadia Figueroa United States 16 312 1.3× 193 1.2× 85 1.0× 74 0.9× 205 2.6× 49 634
Kai Huebner Sweden 11 474 2.0× 240 1.5× 87 1.0× 114 1.4× 194 2.5× 22 583
Karl Van Wyk United States 12 497 2.1× 235 1.4× 152 1.8× 85 1.1× 216 2.7× 22 680

Countries citing papers authored by Soshi Iba

Since Specialization
Citations

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

Fields of papers citing papers by Soshi Iba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soshi Iba

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

All Works

20 of 20 papers shown
1.
2.
Yang, Fan, et al.. (2025). Multi-Finger Manipulation via Trajectory Optimization With Differentiable Rolling and Geometric Constraints. IEEE Robotics and Automation Letters. 10(5). 5170–5177.
3.
Xu, Aolin, et al.. (2025). Edit Distance Based Intention Estimation for Teleoperated Assembly. 16544–16550. 1 indexed citations
4.
5.
Li, Hongyu, et al.. (2024). HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals Through Contrastive Learning. 7499–7506. 2 indexed citations
6.
Li, Hongyu, et al.. (2023). ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation With Shape Completion. IEEE Robotics and Automation Letters. 8(11). 6963–6970. 8 indexed citations
7.
Rezazadeh, Alireza, et al.. (2023). Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects. 2884–2890. 2 indexed citations
8.
Iba, Soshi, et al.. (2022). VisuoTactile 6D Pose Estimation of an In-Hand Object Using Vision and Tactile Sensor Data. IEEE Robotics and Automation Letters. 7(2). 2148–2155. 38 indexed citations
9.
Sundaresan, Priya, Brijen Thananjeyan, Ashwin Balakrishna, et al.. (2021). Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics. 11515–11522. 35 indexed citations
10.
Seita, Daniel, Ryan Hoque, Minho Hwang, et al.. (2020). Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. 9651–9658. 72 indexed citations
11.
Iba, Soshi, et al.. (2020). Deep Tactile Experience: Estimating Tactile Sensor Output from Depth Sensor Data. arXiv (Cornell University). 9846–9853. 5 indexed citations
12.
Cao, Chao, Peter Trautman, & Soshi Iba. (2019). Dynamic Channel: A Planning Framework for Crowd Navigation. 5551–5557. 40 indexed citations
13.
Seita, Daniel, Ryan Hoque, Minho Hwang, et al.. (2019). Deep Imitation Learning of Sequential Fabric Smoothing Policies. 9 indexed citations
14.
Seita, Daniel, Nawid Jamali, Michael Laskey, et al.. (2018). Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.. 10 indexed citations
15.
Mühlig, Manuel, et al.. (2014). Receding horizon optimization of robot motions generated by hierarchical movement primitives. 129–135. 2 indexed citations
16.
Iba, Soshi, Christiaan J. J. Paredis, & Pradeep K. Khosla. (2005). Interactive Multimodal Robot Programming. The International Journal of Robotics Research. 24(1). 83–104. 43 indexed citations
17.
Iba, Soshi, et al.. (2003). Interactive multi-modal robot programming. Figshare. 1. 161–168. 18 indexed citations
18.
Ogawara, Koichi, et al.. (2002). Recognition of human task by attention point analysis. 3. 2121–2126. 18 indexed citations
19.
Ogawara, Koichi, et al.. (2002). Acquiring hand-action models by attention point analysis. 1. 465–470. 15 indexed citations
20.
Ogawara, Koichi, et al.. (2000). Recognition of Human Behaviour using Stereo Vision and Data Gloves. 52(5). 225–230. 1 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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