Eric A. Wan

11.0k citations

59 papers · 7.0k indexed · 3 hit papers · h-index 26

Impact in

Artificial Intelligence top 0.2%
- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
Aerospace Engineering top 0.2%
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- GNSS positioning and interference

Papers in

Signal Processing 21
- Speech and Audio Processing 13
- Blind Source Separation Techniques 13
Artificial Intelligence 32
- Target Tracking and Data Fusion in Sensor Networks 19
- Neural Networks and Applications 14

Co-authors: Rudolph van der Merwe Randal Douc Nando de Freitas Anindya S. Paul A. Nelson S.J. Julier А. А. Богданов Françoise Beaufays
Journals: Neural Computation (2 papers)Multiple Sclerosis and Related Disorders (1 paper)Journal of Guidance Control and Dynamics (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
Partner nations: United States Canada Australia

In The Last Decade

Eric A. Wan

58 papers receiving 6.5k citations

Hit Papers

align trajectories log scale

The unscented Kalman filter for nonlinear estimation 2002 · 2.7k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2002 The unscented Kalman filter for nonlinear estimation
2002 The square-root unscented Kalman filter for state and parameter-estimation
2000 Oxford University Research Archive (ORA) (University of Oxford)

Peers

Countries citing papers authored by Eric A. Wan

Since Specialization

Citations

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

Fields of papers citing papers by Eric A. Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric A. Wan. 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 Eric A. Wan. The network helps show where Eric A. Wan may publish in the future.

Co-authors

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Comparing fall detection methods in people with multiple sclerosis: A prospective observational cohort study Multiple Sclerosis and Related Disorders ·Andrea Hildebrand, Peter G. Jacobs, Gustavo Medeiros Januário, Clara Mosquera-Lopez, Eric A. Wan, Michelle Cameron	2021	6
2	Automated Detection of Real-World Falls: Modeled From People With Multiple Sclerosis IEEE Journal of Biomedical and Health Informatics ·Clara Mosquera-Lopez, Eric A. Wan, Butayev Tuxtasin, Gustavo Medeiros Januário, Joseph Leitschuh, 吕灵翠, Seyed Hamidreza Hashemi, Andrea Hildebrand, Michelle Cameron, Peter G. Jacobs	2020	26
3	Sigma-point Kalman Smoothing for Indoor Tracking and Auto-calibration Using Time-of-flight Ranging Anindya S. Paul, Eric A. Wan, Peter G. Jacobs	2011	5
4	Evaluation of an ambient noise insensitive hum-based powered wheelchair controller Disability and Rehabilitation Assistive Technology ·Tiago H. Falk, A. W. Andrews, 咲子高山, Eric A. Wan, Tom Chau	2011	1
5	A tag-free solution to unobtrusive indoor tracking using wall-mounted ultrasonic transducers Eric A. Wan, Anindya S. Paul	2010	14
6	Multiharmonic Frequency Tracking Method Using The Sigma-Point Kalman Smoother EURASIP Journal on Advances in Signal Processing ·Sunghan Kim, Anindya S. Paul, Eric A. Wan, James McNames	2010	6
7	On correlating otoacoustic emissions with blood glucose levels PubMed ·Peter G. Jacobs, Eric A. Wan, Dawn Konrad‐Martin	2008	0
8	Noise Reduction for Heart Sounds Using a Modified Minimum-Mean Squared Error Estimator with ECG Gating PubMed ·Anindya S. Paul, Eric A. Wan, A. Nelson	2006	20
9	State-Dependent Riccati Equation Control of a Small Unmanned Helicopter AIAA Guidance, Navigation, and Control Conference and Exhibit ·А. А. Богданов, Magnus Carlsson, Terezinha Soares Biscegl, John L. Hunt, K W Heathington, Rudolph van der Merwe, Eric A. Wan	2003	43
10	The unscented Kalman filter for nonlinear estimation Eric A. Wan, Rudolph van der Merwe Hit paper breakdown →	2002	2737
11	Adjoint LMS: an efficient alternative to the filtered-x LMS and multiple error LMS algorithms Eric A. Wan	2002	49
12	Speech enhancement based on temporal processing Hynek Heřmanský, Eric A. Wan, C. Avendaño	2002	22
13	The square-root unscented Kalman filter for state and parameter-estimation Rudolph van der Merwe, Eric A. Wan Hit paper breakdown →	2002	860
14	Efficient derivative-free Kalman filters for online learning. The European Symposium on Artificial Neural Networks ·Rudolph van der Merwe, Eric A. Wan	2001	78
15	The Unscented Particle Filter Oxford University Research Archive (ORA) (University of Oxford) ·Rudolph van der Merwe, Randal Douc, Nando de Freitas, Eric A. Wan Hit paper breakdown →	2000	1058
16	Nonlinear estimation and modeling of noisy time series by dual kalman filtering methods Eric A. Wan, A. Nelson	2000	58
17	Dual Estimation and the Unscented Transformation Neural Information Processing Systems ·Eric A. Wan, Rudolph van der Merwe, A. Nelson	1999	142
18	Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation Eric A. Wan, A. Nelson	1996	46
19	Discrete time neural networks Applied Intelligence ·Eric A. Wan	1993	16
20	Neural network classification: a Bayesian interpretation IEEE Transactions on Neural Networks ·Eric A. Wan	1990	192

About Eric A. Wan

Eric A. Wan is a scholar working on Signal Processing, Artificial Intelligence, Physical Therapy, Sports Therapy and Rehabilitation, Aerospace Engineering and Computational Mechanics, having authored 59 papers that have together received 7.0k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (19 papers), Neural Networks and Applications (14 papers), Speech and Audio Processing (13 papers), Blind Source Separation Techniques (13 papers), Indoor and Outdoor Localization Technologies (10 papers), Advanced Adaptive Filtering Techniques (9 papers), Inertial Sensor and Navigation (8 papers) and Adaptive Control of Nonlinear Systems (6 papers). The work is most often cited by research in Artificial Intelligence (3.6k citations), Aerospace Engineering (2.4k citations), Control and Systems Engineering (1.8k citations), Signal Processing (648 citations) and Computer Vision and Pattern Recognition (844 citations). Eric A. Wan has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Rudolph van der Merwe, Randal Douc, Nando de Freitas, Anindya S. Paul, A. Nelson, S.J. Julier, А. А. Богданов, Françoise Beaufays, Hynek Heřmanský and Carlos Avendaño. Their work appears in journals such as Neural Computation, Multiple Sclerosis and Related Disorders, Journal of Guidance Control and Dynamics, IEEE Journal of Selected Topics in Signal Processing and IEEE Journal of Biomedical and Health Informatics.

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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