G.V. Puskorius

1.5k citations

34 papers · 940 indexed · h-index 12

Impact in

Artificial Intelligence top 2%
- Neural Networks and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Fuzzy Logic and Control Systems
Control and Systems Engineering top 2%
- Control Systems and Identification
- Fault Detection and Control Systems
- Advanced Control Systems Optimization

Papers in

Artificial Intelligence 24
- Neural Networks and Applications 23
- Fuzzy Logic and Control Systems 7
- Target Tracking and Data Fusion in Sensor Networks 7
Control and Systems Engineering 15
- Control Systems and Identification 11
- Fault Detection and Control Systems 5

Co-authors: L.A. Feldkamp L. I. Davis P. Moore K. A. Marko Danil Prokhorov G. Jesion J. Trivisonno Franklin G. King
Journals: Proceedings of the IEEE (2 papers)Information Sciences (1 paper)Physical review. B, Condensed matter (1 paper)IEEE Transactions on Neural Networks (1 paper)IEEE International Conference on Neural Networks (1 paper)
Partner nations: United States Czechia France

In The Last Decade

G.V. Puskorius

33 papers receiving 881 citations

Peers

Countries citing papers authored by G.V. Puskorius

Since Specialization

Citations

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

Fields of papers citing papers by G.V. Puskorius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.V. Puskorius. 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 G.V. Puskorius. The network helps show where G.V. Puskorius may publish in the future.

Co-authors

The 15 scholars most cited alongside G.V. Puskorius, 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 G.V. Puskorius Line = papers co-authored together G.V. Puskorius links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution. 真由美清水, G.V. Puskorius, Gaurav Pandey	2018	3
2	Global calibration of a robot/vision system G.V. Puskorius, L.A. Feldkamp	2005	10
3	Neural control systems trained by dynamic gradient methods for automotive applications L.A. Feldkamp, G.V. Puskorius, L. I. Davis, 和広福井	2003	3
4	Training a hybrid neural-fuzzy system 和広福井, L.A. Feldkamp, L. I. Davis, G.V. Puskorius	2003	4
5	Model reference adaptive control with recurrent networks trained by the dynamic DEKF algorithm G.V. Puskorius, L.A. Feldkamp	2003	8
6	Strategies and issues in applications of neural networks L.A. Feldkamp, G.V. Puskorius, L. I. Davis, 和広福井	2003	2
7	Neural network control of an unstable process L.A. Feldkamp, G.V. Puskorius	2002	9
8	Extensions and enhancements of decoupled extended Kalman filter training Proceedings of International Conference on Neural Networks (ICNN'97) ·G.V. Puskorius, L.A. Feldkamp	2002	10
9	Fixed-weight controller for multiple systems Proceedings of International Conference on Neural Networks (ICNN'97) ·L.A. Feldkamp, G.V. Puskorius	2002	11
10	Adaptation from fixed weight dynamic networks Proceedings of International Conference on Neural Networks (ICNN'96) ·L.A. Feldkamp, G.V. Puskorius, P. Moore	2002	13
11	Neural network control of a four-wheel ABS model 和広福井, G.V. Puskorius, L.A. Feldkamp, L. I. Davis	2002	0
12	Truncated backpropagation through time and Kalman filter training for neurocontrol G.V. Puskorius, L.A. Feldkamp	2002	19
13	Decoupled extended Kalman filter training of feedforward layered networks G.V. Puskorius, L.A. Feldkamp	2002	122
14	The application of dynamic neural networks to the estimation of feedgas vehicle emissions G. Jesion, C. A. Gierczak, G.V. Puskorius, L.A. Feldkamp, James W. Butler	2002	2
15	A signal processing framework based on dynamic neural networks with application to problems in adaptation, filtering, and classification Proceedings of the IEEE ·L.A. Feldkamp, G.V. Puskorius	1998	98
16	Dynamic neural network methods applied to on-vehicle idle speed control Proceedings of the IEEE ·G.V. Puskorius, L.A. Feldkamp, L. I. Davis	1996	60
17	Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks IEEE Transactions on Neural Networks ·G.V. Puskorius, L.A. Feldkamp	1994	389
18	Automotive Engine Idle Speed Control with Recurrent Neural Networks G.V. Puskorius, L.A. Feldkamp	1993	26
19	Neural network modeling and control of an anti-lock brake system L. I. Davis, G.V. Puskorius, 和広福井, L.A. Feldkamp	1992	27
20	Neural network classifier to threshold images from 3D microcomputed tomography L.A. Feldkamp, G. Jesion, G.V. Puskorius, David Kubinski	1991	1

About G.V. Puskorius

G.V. Puskorius is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Automotive Engineering and Statistical and Nonlinear Physics, having authored 34 papers that have together received 940 indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Control Systems and Identification (11 papers), Fuzzy Logic and Control Systems (7 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Fault Detection and Control Systems (5 papers), Optical measurement and interference techniques (4 papers), Model Reduction and Neural Networks (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Artificial Intelligence (613 citations), Control and Systems Engineering (425 citations), Signal Processing (138 citations), Fluid Flow and Transfer Processes (40 citations) and Statistical and Nonlinear Physics (77 citations). G.V. Puskorius has collaborated with scholars based in United States, Czechia and France. Frequent co-authors include L.A. Feldkamp, L. I. Davis, P. Moore, K. A. Marko, Danil Prokhorov, G. Jesion, J. Trivisonno, Franklin G. King, Jing Xiao and Jie Cheng. Their work appears in journals such as Proceedings of the IEEE, Information Sciences, Physical review. B, Condensed matter, IEEE Transactions on Neural Networks and IEEE International Conference on Neural Networks.

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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