Jeffrey Uhlmann

22.3k citations
98 papers · 15.7k indexed · 5 hit papers · h-index 24

Jeffrey Uhlmann

91 papers receiving 14.7k citations

Hit Papers

A new approach for filtering nonlinear systems1.3k199720262006201610002.0k3.0k4.0k

Peers

Jeffrey Uhlmann
Comparison fields: 5 of 156
  • Artificial Intelligence 9.8k
  • Aerospace Engineering 6.3k
  • Control and Systems Engineering 4.1k
  • Signal Processing 981
  • Computer Networks and Communications 2.0k
Replace Simon Julier with:
Simon Julier United Kingdom
Fredrik Gustafsson Sweden
Neil Gordon Australia
Simon Maskell United Kingdom
M.S. Arulampalam Australia
Branko Ristić Australia
Hugh Durrant‐Whyte Australia
Thiagalingam Kirubarajan Canada
Petar M. Djurić United States
Alan S. Willsky United States
Jeffrey Uhlmann relative to Simon Julier United Kingdom Simon Julier's profile →
Citations per field
00.5×1.5×
Simon Julier · 1×
Citations per year

Countries citing papers authored by Jeffrey Uhlmann

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Uhlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jeffrey Uhlmann, 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 Jeffrey Uhlmann Line = papers co-authored together Jeffrey Uhlmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20230
3 20228
4 20211
5 20200
6 201911
7 20183
8 201812
9 20186
10 20181
11
Quantum imaging in the maritime environment
20175
12 20170
13 20172
14 20111
15 200326
16 20034
17
Comment on "A new method for the nonlinear transformation of means and covariances in filters and estimators" - Reply
20024
18
New extension of the Kalman filter to nonlinear systemsbreakdown →
19973677
19
Algorithms for Multiple-Target Tracking
199266
20
Efficient Approaches for Report/Cluster Correlation in Multitarget Tracking Systems
19902

About Jeffrey Uhlmann

Jeffrey Uhlmann is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Computational Mathematics, having authored 98 papers that have together received 15.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (30 papers), Quantum Information and Cryptography (26 papers), Quantum Computing Algorithms and Architecture (21 papers), Robotics and Sensor-Based Localization (11 papers), Data Management and Algorithms (10 papers), Quantum Mechanics and Applications (10 papers), Mechanical and Optical Resonators (7 papers) and Control Systems and Identification (7 papers). The work is most often cited by research in Artificial Intelligence (9.8k citations), Aerospace Engineering (6.3k citations) and Control and Systems Engineering (4.1k citations). Jeffrey Uhlmann has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Simon Julier, Hugh Durrant‐Whyte, S.J. Julier, Marco Lanzagorta, Salvador E. Venegas-Andraca, Joseph B. Collins, Tim Bailey, David Nicholson, Christopher M Lloyd and Brendan M. Quine. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026