Michael Kaess

11.9k total citations · 5 hit papers
139 papers, 7.8k citations indexed

About

Michael Kaess is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Michael Kaess has authored 139 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Aerospace Engineering, 85 papers in Computer Vision and Pattern Recognition and 30 papers in Ocean Engineering. Recurrent topics in Michael Kaess's work include Robotics and Sensor-Based Localization (109 papers), Advanced Vision and Imaging (38 papers) and Underwater Vehicles and Communication Systems (29 papers). Michael Kaess is often cited by papers focused on Robotics and Sensor-Based Localization (109 papers), Advanced Vision and Imaging (38 papers) and Underwater Vehicles and Communication Systems (29 papers). Michael Kaess collaborates with scholars based in United States, Ireland and China. Michael Kaess's co-authors include Frank Dellaert, John J. Leonard, Hordur Johannsson, Ananth Ranganathan, Richard Roberts, Viorela Ila, Lipu Zhou, John McDonald, Thomas J. Whelan and Sanjiv Singh and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Michael Kaess

136 papers receiving 7.5k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

iSAM2: Incremental smoothing and mapping using the Bayes tree

2011 894 citations Michael Kaess, Hordur Johannsson et al. profile →
iSAM: Incremental Smoothing and Mapping

2008 754 citations Michael Kaess, Ananth Ranganathan et al. IEEE Transactions on Robotics profile →
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing

2006 645 citations Frank Dellaert, Michael Kaess profile →
Kintinuous: Spatially Extended KinectFusion

2012 376 citations Thomas J. Whelan, Michael Kaess et al. DSpace@MIT (Massachusetts Institute of Technology) profile →
Factor Graphs for Robot Perception

2017 268 citations Frank Dellaert, Michael Kaess profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Kaess United States	42	6.5k	4.2k	1.9k	1.5k	1.5k	139	7.8k
José Neira Spain	28	5.7k 0.9×	4.0k 0.9×	2.0k 1.1×	922 0.6×	1.1k 0.7×	64	6.5k
Luca Carlone United States	36	5.9k 0.9×	4.4k 1.0×	1.7k 0.9×	1.5k 1.0×	662 0.4×	116	7.5k
Juan D. Tardós Spain	36	6.1k 0.9×	4.5k 1.1×	2.2k 1.2×	1.1k 0.7×	1.0k 0.7×	68	6.8k
Giorgio Grisetti Italy	33	7.2k 1.1×	5.3k 1.2×	2.2k 1.2×	1.6k 1.0×	871 0.6×	110	8.8k
T. Bailey Australia	12	4.2k 0.6×	2.7k 0.6×	1.8k 1.0×	730 0.5×	847 0.6×	20	5.3k
Shaojie Shen Hong Kong	47	7.8k 1.2×	6.9k 1.6×	1.7k 0.9×	1.7k 1.1×	797 0.5×	177	10.5k
Stefan Leutenegger United Kingdom	28	5.4k 0.8×	5.7k 1.3×	1.4k 0.8×	1.6k 1.0×	422 0.3×	78	8.2k
Margarita Chli Switzerland	31	4.4k 0.7×	4.6k 1.1×	1.1k 0.6×	805 0.5×	443 0.3×	84	6.4k
Stergios I. Roumeliotis United States	52	7.0k 1.1×	4.2k 1.0×	3.2k 1.7×	1.0k 0.7×	1.2k 0.8×	165	9.9k
César Cadena Switzerland	28	3.4k 0.5×	3.0k 0.7×	910 0.5×	788 0.5×	394 0.3×	90	4.6k

Countries citing papers authored by Michael Kaess

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kaess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kaess

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kaess. A scholar is included among the top collaborators of Michael Kaess 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 Michael Kaess. Michael Kaess 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:

20 of 20 papers shown

Lin, Tianxiang, et al.. (2025). Acoustic Neural 3D Reconstruction Under Pose Drift. 12704–12711.

Zhang, Kevin, et al.. (2024). AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. 1–12. 7 indexed citations

Neilsen, Tracianne B., et al.. (2024). HoloOcean: A Full-Featured Marine Robotics Simulator for Perception and Autonomy. IEEE Journal of Oceanic Engineering. 49(4). 1322–1336. 8 indexed citations

Zhang, Kevin, et al.. (2024). Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 7255–7267. 3 indexed citations

Kaess, Michael, et al.. (2024). NormalFlow: Fast, Robust, and Accurate Contact-Based Object 6DoF Pose Tracking With Vision-Based Tactile Sensors. IEEE Robotics and Automation Letters. 10(1). 452–459.

Sodhi, Paloma, et al.. (2022). InCOpt: Incremental Constrained Optimization using the Bayes Tree. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6381–6388. 8 indexed citations

Zhou, Lipu, et al.. (2022). $\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. IEEE Robotics and Automation Letters. 7(3). 7163–7170. 24 indexed citations

Zhou, Lipu, et al.. (2021). DPLVO: Direct Point-Line Monocular Visual Odometry. IEEE Robotics and Automation Letters. 6(4). 7113–7120. 27 indexed citations

Zhou, Lipu, et al.. (2021). LiDAR SLAM With Plane Adjustment for Indoor Environment. IEEE Robotics and Automation Letters. 6(4). 7073–7080. 61 indexed citations

10.

Zhou, Lipu & Michael Kaess. (2020). Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss. IEEE Robotics and Automation Letters. 5(2). 3283–3290. 10 indexed citations

11.

Zhou, Lipu, et al.. (2020). A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem. IEEE Robotics and Automation Letters. 6(2). 699–706. 14 indexed citations

12.

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

13.

Kaess, Michael, et al.. (2018). Pose-Graph SLAM Using Forward-Looking Sonar. IEEE Robotics and Automation Letters. 3(3). 2330–2337. 81 indexed citations

14.

Fourie, Dehann, Michael Kaess, & John J. Leonard. (2016). A nonparametric belief solution to the Bayes tree. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations

15.

Whelan, Thomas J., Hordur Johannsson, Michael Kaess, John J. Leonard, & John McDonald. (2013). Robust real-time visual odometry for dense RGB-D mapping. Maynooth University ePrints and eTheses Archive (Maynooth University). 18 indexed citations

16.

Kaess, Michael, S. R. Williams, Vadim Indelman, et al.. (2012). Concurrent filtering and smoothing. DSpace@MIT (Massachusetts Institute of Technology). 1300–1307. 18 indexed citations

17.

Kaess, Michael, Hordur Johannsson, Richard Roberts, et al.. (2011). iSAM2: Incremental smoothing and mapping with fluid relinearization and incremental variable reordering. 3281–3288. 166 indexed citations

18.

Kaess, Michael, Kai Ni, & Frank Dellaert. (2009). Flow separation for fast and robust stereo odometry. DSpace@MIT (Massachusetts Institute of Technology). 3539–3544. 41 indexed citations

19.

Kaess, Michael, Ananth Ranganathan, & Frank Dellaert. (2008). iSAM: Incremental Smoothing and Mapping. IEEE Transactions on Robotics. 24(6). 1365–1378. 754 indexed citations breakdown →

20.

Kaess, Michael, Ananth Ranganathan, & Frank Dellaert. (2007). iSAM: Fast Incremental Smoothing and Mapping with Efficient Data Association. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 1670–1677. 89 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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