A. Nelson

513 citations
11 papers · 340 · h-index 7

Impact in

    • Blind Source Separation Techniques
    • Speech and Audio Processing
    • Target Tracking and Data Fusion in Sensor Networks
    • Neural Networks and Applications

Papers in

Journals
Neural Information Processing Systems (1 paper)AIP conference proceedings (1 paper)Proceedings of International Conference on Neural Networks (ICNN'97) (1 paper)
Partner nations
United StatesIndia

In The Last Decade

A. Nelson

10 papers receiving 321 citations

Peers

A. Nelson
Comparison fields: 5 of 61
  • Signal Processing 58
  • Artificial Intelligence 152
  • Control and Systems Engineering 108
  • Computational Mathematics 2
  • Aerospace Engineering 63
Replace Donka Angelova with:
Donka Angelova Bulgaria
Jiancheng Sun China
Tien Li Chia United States
Yan Shuicheng Singapore
Raymond A. Yeh United States
Donald J. Bucci United States
Jun-Seok Lim South Korea
Robby T. Tan Singapore
Nithya Venkatesan India
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Citations per field
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Citations per year

Countries citing papers authored by A. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by A. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside A. Nelson, 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 A. Nelson Line = papers co-authored together A. Nelson links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Dual Estimation and the Unscented Transformation
1999142
2
Nonlinear estimation and modeling of noisy time series by dual kalman filtering methods
200058
3 200248
4
Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation
199647
5 200221
6 200212
7 20028
8 20032
9 20031
10 20031
11 20250

About A. Nelson

A. Nelson is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Aerospace Engineering and Control and Systems Engineering, having authored 11 papers that have together received 340 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (5 papers), Neural Networks and Applications (4 papers), Speech and Audio Processing (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Advanced Adaptive Filtering Techniques (3 papers), GNSS positioning and interference (2 papers), Inertial Sensor and Navigation (1 paper) and Spacecraft Design and Technology (1 paper). The work is most often cited by research in Signal Processing (58 citations), Artificial Intelligence (152 citations), Control and Systems Engineering (108 citations), Computational Mathematics (2 citations) and Aerospace Engineering (63 citations). A. Nelson has collaborated with scholars based in United States and India. Frequent co-authors include Eric A. Wan and Rudolph van der Merwe. Their work appears in journals such as Neural Information Processing Systems, AIP conference proceedings and Proceedings of International Conference on Neural Networks (ICNN'97).

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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