Jeffrey Uhlmann

22.3k total citations · 5 hit papers
98 papers, 15.7k citations indexed

About

Jeffrey Uhlmann is a scholar working on Artificial Intelligence, Aerospace Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jeffrey Uhlmann has authored 98 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 22 papers in Aerospace Engineering and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jeffrey Uhlmann's work include Target Tracking and Data Fusion in Sensor Networks (30 papers), Quantum Information and Cryptography (26 papers) and Quantum Computing Algorithms and Architecture (21 papers). Jeffrey Uhlmann is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (30 papers), Quantum Information and Cryptography (26 papers) and Quantum Computing Algorithms and Architecture (21 papers). Jeffrey Uhlmann collaborates with scholars based in United States, United Kingdom and Mexico. Jeffrey Uhlmann's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Jeffrey Uhlmann

91 papers receiving 14.7k citations

Hit Papers

Unscented Filtering and Nonlinear Estimation 1997 2026 2006 2016 2004 1997 2000 2005 1997 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Uhlmann United States 24 9.8k 6.3k 4.1k 2.6k 2.0k 98 15.7k
Simon Julier United Kingdom 41 10.7k 1.1× 7.4k 1.2× 4.6k 1.1× 2.8k 1.1× 2.6k 1.2× 154 20.9k
Fredrik Gustafsson Sweden 53 5.4k 0.6× 3.5k 0.5× 3.4k 0.8× 4.8k 1.9× 2.2k 1.1× 458 14.0k
Neil Gordon Australia 24 13.8k 1.4× 5.4k 0.9× 4.6k 1.1× 4.1k 1.6× 3.2k 1.6× 81 23.6k
Simon Maskell United Kingdom 24 6.0k 0.6× 2.7k 0.4× 2.0k 0.5× 2.1k 0.8× 1.5k 0.7× 138 10.7k
Branko Ristić Australia 43 5.8k 0.6× 2.9k 0.5× 1.4k 0.4× 1.6k 0.6× 2.2k 1.1× 244 8.9k
M.S. Arulampalam Australia 7 5.0k 0.5× 2.4k 0.4× 1.9k 0.5× 2.0k 0.8× 1.2k 0.6× 14 9.0k
Hugh Durrant‐Whyte Australia 59 8.4k 0.9× 15.0k 2.4× 4.2k 1.0× 5.8k 2.3× 3.2k 1.6× 274 23.9k
Alan S. Willsky United States 68 5.6k 0.6× 2.0k 0.3× 5.2k 1.3× 1.9k 0.7× 2.6k 1.2× 459 20.7k
Petar M. Djurić United States 40 4.7k 0.5× 1.6k 0.2× 1.6k 0.4× 3.0k 1.1× 2.4k 1.2× 447 9.6k
Henry Leung Canada 52 3.6k 0.4× 2.0k 0.3× 1.6k 0.4× 2.0k 0.8× 2.5k 1.2× 606 12.3k

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 of co-authors of Jeffrey Uhlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Uhlmann. A scholar is included among the top collaborators of Jeffrey Uhlmann 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 Jeffrey Uhlmann. Jeffrey Uhlmann 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.
Uhlmann, Jeffrey, et al.. (2023). Tensor Completion with Provable Consistency and Fairness Guarantees for Recommender Systems. 1(3). 1–26. 3 indexed citations
2.
Uhlmann, Jeffrey. (2023). Class of finite-dimensional matrices with diagonals that majorize their spectrum. SHILAP Revista de lepidopterología. 11(1).
3.
Uhlmann, Jeffrey & Simon Julier. (2022). Gaussianity and the Kalman Filter: A Simple Yet Complicated Relationship. arXiv (Cornell University). 14(1). 21–26. 8 indexed citations
4.
Uhlmann, Jeffrey & Jie Wang. (2021). On Radically Expanding the Landscape of Potential Applications for Automated-Proof Methods. SN Computer Science. 2(4). 1 indexed citations
5.
Uhlmann, Jeffrey. (2020). On the Monotonic Lagrangian Grid as Antecedent to the Neighborhood Grid. Journal of Parallel and Distributed Computing. 142. 13–15.
6.
Uhlmann, Jeffrey. (2019). On the Relative Gain Array (RGA) with singular and rectangular matrices. Applied Mathematics Letters. 93. 52–57. 11 indexed citations
7.
Lanzagorta, Marco & Jeffrey Uhlmann. (2018). Theoretical Foundations for Design of a Quantum Wigner Interferometer. IEEE Journal of Quantum Electronics. 55(1). 1–7. 3 indexed citations
8.
Uhlmann, Jeffrey. (2018). A Generalized Matrix Inverse That Is Consistent with Respect to Diagonal Transformations. SIAM Journal on Matrix Analysis and Applications. 39(2). 781–800. 12 indexed citations
9.
Uhlmann, Jeffrey. (2018). A Rank-Preserving Generalized Matrix Inverse for Consistency With Respect to Similarity. IEEE Control Systems Letters. 3(1). 91–95. 6 indexed citations
10.
Uhlmann, Jeffrey. (2018). A Canonical Image Set for Examining and Comparing Image Processing Algorithms. Journal of Image and Graphics. 6(2). 137–144. 1 indexed citations
11.
Lanzagorta, Marco & Jeffrey Uhlmann. (2017). Quantum imaging in the maritime environment. 5 indexed citations
12.
Uhlmann, Jeffrey, et al.. (2017). Orthogonal Vector Interpolation for Aesthetic Image Transformations. Journal of Image and Graphics. 5(2). 47–51.
13.
Julier, Simon & Jeffrey Uhlmann. (2017). Data Fusion in Nonlinear Systems. 365–388. 2 indexed citations
14.
Lanzagorta, Marco & Jeffrey Uhlmann. (2011). Error scaling in fault tolerant quantum computation. Applied Mathematics and Computation. 219(1). 24–30. 1 indexed citations
15.
Nicholson, David, Christopher M Lloyd, Simon Julier, & Jeffrey Uhlmann. (2003). Scalable distributed data fusion. 1. 630–635. 26 indexed citations
16.
Lanzagorta, Marco, Richard B. Gomez, & Jeffrey Uhlmann. (2003). Quantum rendering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5105. 128–128. 4 indexed citations
17.
Julier, Simon & Jeffrey Uhlmann. (2002). Comment on "A new method for the nonlinear transformation of means and covariances in filters and estimators" - Reply. UCL Discovery (University College London). 4 indexed citations
18.
Julier, Simon & Jeffrey Uhlmann. (1997). New extension of the Kalman filter to nonlinear systems. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3068. 182–182. 3677 indexed citations breakdown →
19.
Uhlmann, Jeffrey. (1992). Algorithms for Multiple-Target Tracking. American Scientist. 80(2). 128–141. 66 indexed citations
20.
Uhlmann, Jeffrey, et al.. (1990). Efficient Approaches for Report/Cluster Correlation in Multitarget Tracking Systems. Defense Technical Information Center (DTIC). 91. 21421. 2 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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