Michael Kaess

12.0k citations
140 papers · 7.9k · 5 hit papers · h-index 42

Impact in

Papers in

Michael Kaess

136 papers receiving 7.6k citations

Michael Kaess's Hit Papers

Factor Graphs for Robot Perception 2017 · 275 citations
2750+6+13Years since publication250500750

Peers

Michael Kaess
Comparison fields: 5 of 104
  • Geology 1.5k
  • Aerospace Engineering 6.6k
  • Computer Vision and Pattern Recognition 4.3k
  • Ocean Engineering 1.5k
  • Instrumentation 199
Replace José Neira with:
José Neira Spain
Brendan Englot United States
Giorgio Grisetti Italy
Juan D. Tardós Spain
Luca Carlone United States
Stergios I. Roumeliotis United States
T. Bailey Australia
Shaojie Shen Hong Kong
Larry Matthies United States
Paul Furgale Switzerland
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michael Kaess, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Kaess Line = papers co-authored together Michael Kaess links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
iSAM2: Incremental smoothing and mapping using the Bayes tree
Hit paper breakdown →
2011916
2
iSAM: Incremental Smoothing and Mapping
Hit paper breakdown →
2008764
3
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing
Hit paper breakdown →
2006652
4
Kintinuous: Spatially Extended KinectFusion
Hit paper breakdown →
2012376
5
Factor Graphs for Robot Perception
Hit paper breakdown →
2017275
6 2013234
7 2012201
8 2018198
9 2013195
10 2017186
11 2016179
12 2011170
13 2010155
14 2010131
15 2015130
16 2014114
17 2009110
18 2012106
19 2016103
20 201795

About Michael Kaess

Michael Kaess is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 140 papers that have together received 7.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (108 papers), Advanced Vision and Imaging (39 papers), Underwater Vehicles and Communication Systems (29 papers), Advanced Image and Video Retrieval Techniques (28 papers), Indoor and Outdoor Localization Technologies (25 papers), Robotic Path Planning Algorithms (24 papers), 3D Surveying and Cultural Heritage (22 papers) and Target Tracking and Data Fusion in Sensor Networks (14 papers). The work is most often cited by research in Geology (1.5k citations), Aerospace Engineering (6.6k citations), Computer Vision and Pattern Recognition (4.3k citations), Ocean Engineering (1.5k citations) and Instrumentation (199 citations). Michael Kaess has collaborated with scholars based in United States, Ireland and China. Frequent 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. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Robotics and Autonomous Systems, IEEE Transactions on Robotics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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