Yaakov Oshman

3.1k total citations
136 papers, 2.4k citations indexed

About

Yaakov Oshman is a scholar working on Aerospace Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Yaakov Oshman has authored 136 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Aerospace Engineering, 78 papers in Artificial Intelligence and 43 papers in Control and Systems Engineering. Recurrent topics in Yaakov Oshman's work include Target Tracking and Data Fusion in Sensor Networks (76 papers), Inertial Sensor and Navigation (50 papers) and Fault Detection and Control Systems (30 papers). Yaakov Oshman is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (76 papers), Inertial Sensor and Navigation (50 papers) and Fault Detection and Control Systems (30 papers). Yaakov Oshman collaborates with scholars based in Israel, United States and Italy. Yaakov Oshman's co-authors include Itzhack Y. Bar‐Itzhack, Pavel Davidson, Daniel Choukroun, F. Landis Markley, Avishy Carmi, J. Shinar, John L. Crassidis, Yang Cheng, Vitaly Shaferman and Tal Shima and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Fluid Mechanics and IEEE Transactions on Information Theory.

In The Last Decade

Yaakov Oshman

127 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaakov Oshman Israel 23 1.8k 1.2k 491 430 399 136 2.4k
Joseph Tabrikian Israel 28 1.8k 1.0× 667 0.6× 208 0.4× 659 1.5× 366 0.9× 154 3.3k
Umut Orguner Sweden 30 1.0k 0.6× 1.9k 1.6× 700 1.4× 799 1.9× 225 0.6× 109 2.9k
Ning Li China 23 869 0.5× 1.9k 1.6× 641 1.3× 397 0.9× 230 0.6× 123 2.6k
Peter G. Cable United States 7 939 0.5× 1.5k 1.3× 328 0.7× 416 1.0× 239 0.6× 21 2.6k
Chan Gook Park South Korea 29 1.8k 1.0× 1.0k 0.9× 401 0.8× 1.1k 2.5× 176 0.4× 246 2.8k
Taek Lyul Song South Korea 19 1.1k 0.6× 1.2k 1.0× 345 0.7× 379 0.9× 139 0.3× 126 1.8k
Malcolm D. Shuster United States 17 1.6k 0.9× 552 0.5× 680 1.4× 220 0.5× 561 1.4× 43 2.0k
Yang Cheng United States 23 2.6k 1.5× 934 0.8× 394 0.8× 324 0.8× 351 0.9× 99 3.3k
Lubin Chang China 29 1.8k 1.0× 1.5k 1.3× 304 0.6× 599 1.4× 357 0.9× 72 2.4k
Shesheng Gao China 26 1.3k 0.7× 1.4k 1.2× 503 1.0× 362 0.8× 86 0.2× 102 2.3k

Countries citing papers authored by Yaakov Oshman

Since Specialization
Citations

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

Fields of papers citing papers by Yaakov Oshman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaakov Oshman

This figure shows the co-authorship network connecting the top 25 collaborators of Yaakov Oshman. A scholar is included among the top collaborators of Yaakov Oshman 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 Yaakov Oshman. Yaakov Oshman 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.
Cohen, Jacob, et al.. (2021). Blind disturbance separation and identification in a transitional boundary layer using minimal sensing. Journal of Fluid Mechanics. 927. 1 indexed citations
2.
Oshman, Yaakov, et al.. (2016). LMMSE filtering with out-of-sequence and uncertain observations. International Conference on Information Fusion. 25–30. 1 indexed citations
3.
Oshman, Yaakov, et al.. (2016). Estimation-Guided Guidance and Its Implementation via Sequential Monte Carlo Computation. Journal of Guidance Control and Dynamics. 40(2). 402–417. 2 indexed citations
4.
Michaeli, Tomer, et al.. (2014). Simultaneous tracking and data association in an extended maneuvering target using the IMM methodology. International Conference on Information Fusion. 1–7.
5.
Oshman, Yaakov, et al.. (2012). State estimation in hybrid systems with a bounded number of mode transitions in the presence of spurious measurements. International Conference on Information Fusion. 1955–1962.
6.
Michaeli, Tomer, et al.. (2012). A unified approach to state estimation problems under data and model uncertainties. International Conference on Information Fusion. 2569–2576. 4 indexed citations
7.
Oshman, Yaakov, et al.. (2011). Linear optimal estimation problems in systems with actuator faults. International Conference on Information Fusion. 1–8. 3 indexed citations
8.
Oshman, Yaakov, et al.. (2011). Tracking maneuvering targets with a soft bound on the number of maneuvers. International Conference on Information Fusion. 1–8. 3 indexed citations
9.
Oshman, Yaakov, et al.. (2011). Optimal covariance selection for estimation using graphical models. Zenodo (CERN European Organization for Nuclear Research). 1. 5049–5054. 1 indexed citations
10.
Oshman, Yaakov, et al.. (2010). A new formulation of fault-tolerant estimation problems and some solutions. 626–630. 7 indexed citations
11.
Oshman, Yaakov, et al.. (2007). Efficient fault tolerant estimation using the IMM methodology. IEEE Transactions on Aerospace and Electronic Systems. 43(2). 492–508. 12 indexed citations
12.
Choukroun, Daniel, Haim Weiss, Itzhack Y. Bar‐Itzhack, & Yaakov Oshman. (2005). Quaternion Estimation from Vector Observations Using a Matrix Kalman Filter. AIAA Guidance, Navigation, and Control Conference and Exhibit. 1 indexed citations
13.
Oshman, Yaakov, et al.. (2004). Recursive Weiss-Weinstein lower bounds for discrete-time nonlinear filtering. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 2662–2667 Vol.3. 12 indexed citations
14.
Oshman, Yaakov, et al.. (2004). Boost-Phase Identification of Theater Ballistic Missiles Using Radar Measurements. Journal of Guidance Control and Dynamics. 27(2). 197–208. 4 indexed citations
15.
Oshman, Yaakov, et al.. (2004). Enhanced Air-to-Air Missile Tracking Using Target Orientation Observations. Journal of Guidance Control and Dynamics. 27(4). 595–606. 12 indexed citations
16.
Kerr, Thomas H. & Yaakov Oshman. (1995). Comments on "Optimal sensor selection strategy for discrete-time estimators" [with reply]. IEEE Transactions on Aerospace and Electronic Systems. 31(2). 831–834. 6 indexed citations
17.
Oshman, Yaakov, et al.. (1994). Maximum a posteriori image registration/motion estimation. Journal of Guidance Control and Dynamics. 17(5). 1115–1123. 6 indexed citations
18.
Oshman, Yaakov. (1992). Maximum likelihood state and parameter estimation via derivatives ofthe V-Lambda filter. Journal of Guidance Control and Dynamics. 15(3). 717–726. 6 indexed citations
19.
Oshman, Yaakov. (1989). Gain-free square root information filtering using the spectral decomposition. Journal of Guidance Control and Dynamics. 12(5). 681–690. 10 indexed citations
20.
Oshman, Yaakov & Itzhack Y. Bar‐Itzhack. (1984). Eigenfactor solution of the matrix Riccati equation - A continuous square root algorithm. 1. 503–508. 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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