Ming Hsiao

417 total citations
13 papers, 312 citations indexed

About

Ming Hsiao is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Ming Hsiao has authored 13 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Aerospace Engineering, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ming Hsiao's work include Robotics and Sensor-Based Localization (11 papers), Indoor and Outdoor Localization Technologies (5 papers) and Advanced Vision and Imaging (5 papers). Ming Hsiao is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Indoor and Outdoor Localization Technologies (5 papers) and Advanced Vision and Imaging (5 papers). Ming Hsiao collaborates with scholars based in United States, Taiwan and Israel. Ming Hsiao's co-authors include Michael Kaess, Eric Westman, Guofeng Zhang, Ren C. Luo, Paloma Sodhi, Rafael Valencia, Joshua G. Mangelson, Jing Dong, Jakob Engel and Frank Dellaert and has published in prestigious journals such as 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Ming Hsiao

13 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ming Hsiao United States	9	251	170	92	70	38	13	312
Hatem Alismail United States	11	295 1.2×	264 1.6×	97 1.1×	81 1.2×	39 1.0×	18	423
Matteo Palieri United States	4	247 1.0×	160 0.9×	82 0.9×	66 0.9×	32 0.8×	8	303
Kamak Ebadi United States	6	280 1.1×	186 1.1×	88 1.0×	68 1.0×	35 0.9×	13	345
Ian Baldwin United Kingdom	4	304 1.2×	241 1.4×	62 0.7×	60 0.9×	17 0.4×	5	380
Shaoze You China	7	191 0.8×	108 0.6×	54 0.6×	141 2.0×	48 1.3×	8	297
René Wagner Germany	6	232 0.9×	150 0.9×	52 0.6×	54 0.8×	24 0.6×	10	279
David Wisth United Kingdom	5	221 0.9×	141 0.8×	104 1.1×	55 0.8×	13 0.3×	5	308
Maugan Michel France	4	200 0.8×	150 0.9×	59 0.6×	57 0.8×	21 0.6×	12	285
Marcin Dymczyk Switzerland	12	412 1.6×	344 2.0×	85 0.9×	125 1.8×	48 1.3×	17	466
Cyrille Berger Sweden	7	251 1.0×	205 1.2×	45 0.5×	67 1.0×	36 0.9×	16	321

Countries citing papers authored by Ming Hsiao

Since Specialization

Citations

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

Fields of papers citing papers by Ming Hsiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Hsiao

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Hsiao, Ming, et al.. (2021). Distributed Client-Server Optimization for SLAM with Limited On-Device Resources. 5336–5342. 5 indexed citations

2.

Hsiao, Ming, et al.. (2021). MR-iSAM2: Incremental Smoothing and Mapping with Multi-Root Bayes Tree for Multi-Robot SLAM. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8671–8678. 9 indexed citations

3.

Hsiao, Ming, et al.. (2020). ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. 11. 5037–5044. 8 indexed citations

4.

Hsiao, Ming & Michael Kaess. (2019). MH-iSAM2: Multi-hypothesis iSAM using Bayes Tree and Hypo-tree. 1274–1280. 39 indexed citations

5.

Hsiao, Ming, Eric Westman, & Michael Kaess. (2018). Dense Planar-Inertial SLAM with Structural Constraints. 6521–6528. 40 indexed citations

6.

Hsiao, Ming, et al.. (2018). Information Sparsification in Visual-Inertial Odometry. 1146–1153. 29 indexed citations

7.

Sodhi, Paloma, et al.. (2018). Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. 2175–2182. 34 indexed citations

8.

Hsiao, Ming, Eric Westman, Guofeng Zhang, & Michael Kaess. (2017). Keyframe-based dense planar SLAM. 5110–5117. 94 indexed citations

9.

Luo, Ren C., et al.. (2014). Descending stairs locomotion and somatosensory control for an erect wheel-legged service robot. 6356–6361. 8 indexed citations

10.

Luo, Ren C., et al.. (2013). Multisensor integrated stair recognition and parameters measurement system for dynamic stair climbing robots. 318–323. 17 indexed citations

11.

Luo, Ren C., et al.. (2013). Sensor fusion based vSLAM system for 3D environment grid map construction. 3. 1–6. 3 indexed citations

12.

Luo, Ren C., et al.. (2013). Erect wheel-legged stair climbing robot for indoor service applications. 2731–2736. 22 indexed citations

13.

Luo, Ren C., et al.. (2012). Visual simultaneous localization and mapping using stereo vision with human body elimination for service robotics. 1. 244–249. 4 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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