G.W. Neat

1.7k total citations · 1 hit paper
41 papers, 1.2k citations indexed

About

G.W. Neat is a scholar working on Mechanical Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering. According to data from OpenAlex, G.W. Neat has authored 41 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 15 papers in Atomic and Molecular Physics, and Optics and 12 papers in Aerospace Engineering. Recurrent topics in G.W. Neat's work include Advanced Measurement and Metrology Techniques (18 papers), Adaptive optics and wavefront sensing (14 papers) and Astronomical Observations and Instrumentation (9 papers). G.W. Neat is often cited by papers focused on Advanced Measurement and Metrology Techniques (18 papers), Adaptive optics and wavefront sensing (14 papers) and Astronomical Observations and Instrumentation (9 papers). G.W. Neat collaborates with scholars based in United States. G.W. Neat's co-authors include Dennis J. McFarland, Jonathan R. Wolpaw, Catherine A Forneris, John F. O’Brien, John E. McInroy, James W. Melody, Boris J. Lurie, Howard Kaufman, Robert J. Calvet and Frank G. Dekens and has published in prestigious journals such as Electroencephalography and Clinical Neurophysiology, IEEE Transactions on Control Systems Technology and IEEE/ASME Transactions on Mechatronics.

In The Last Decade

G.W. Neat

40 papers receiving 1.1k citations

Hit Papers

An EEG-based brain-computer interface for cursor control 1991 2026 2002 2014 1991 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An EEG-based brain-computer interface for cursor control
    1991 787 citations Jonathan R. Wolpaw, Dennis J. McFarland et al. Electroencephalography and Clinical Neurophysiology profile →

Peers

G.W. Neat
Abbas Erfanian Iran
Banghua Yang China
Peng Un Mak Macao
Lise Johnson United States
Abhijit Bhattacharyya India
J. Mouriño Spain
Pavel M. Trivailo Australia
Zeming Fan China
Kyoobin Lee South Korea
Masatoshi Nakamura Japan
Abbas Erfanian Iran
G.W. Neat
Citations per year, relative to G.W. Neat G.W. Neat (= 1×) peers Abbas Erfanian

Countries citing papers authored by G.W. Neat

Since Specialization
Citations

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

Fields of papers citing papers by G.W. Neat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.W. Neat

This figure shows the co-authorship network connecting the top 25 collaborators of G.W. Neat. A scholar is included among the top collaborators of G.W. Neat 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 G.W. Neat. G.W. Neat 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.
Bayard, David S. & G.W. Neat. (2007). Performance Characterization of a Stellar Interferometer. IEEE Control Systems. 27(5). 90–108. 2 indexed citations
2.
Neat, G.W.. (2003). Micro-arcsecond measurement testbed and its relationship to the Space Interferometer Mission. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4852. 57–57. 1 indexed citations
3.
Catanzarite, J., et al.. (2003). Dependence of the micro-arcsecond metrology (MAM) testbed performance prediction on white light algorithm approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4852. 602–602. 3 indexed citations
4.
Melody, James W. & G.W. Neat. (2002). Integrated modeling methodology validation using the micro-precision interferometer testbed. 4. 4222–4227. 9 indexed citations
5.
Joshi, Sanjay S., James W. Melody, & G.W. Neat. (2002). A case study of the role of structural/optical model fidelity in performance prediction of complex opto-mechanical instruments. 2. 1367–1372. 3 indexed citations
6.
McInroy, John E., John F. O’Brien, & G.W. Neat. (2002). Method and experimental validation of a precision, reconfigurable pointing control strategy. 4. 3990–3995. 7 indexed citations
7.
Dekens, Frank G. & G.W. Neat. (2000). Microprecision interferometer: pointing system solutions for on-orbit disturbance environment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3985. 386–386. 2 indexed citations
8.
McInroy, John E., John F. O’Brien, & G.W. Neat. (1999). Precise, fault-tolerant pointing using a Stewart platform. IEEE/ASME Transactions on Mechatronics. 4(1). 91–95. 70 indexed citations
9.
O’Brien, John F., Renaud Goullioud, & G.W. Neat. (1998). <title>Microprecision interferometer: evaluation of new disturbance isolation solutions</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3327. 387–398. 9 indexed citations
10.
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12.
Kaufman, Howard & G.W. Neat. (1993). Asymptotically stable multiple-input multiple-output direct model reference adaptive controller for processes not necessarily satisfying a positive real constraint. International Journal of Control. 58(5). 1011–1031. 19 indexed citations
13.
McFarland, Dennis J., et al.. (1993). An EEG-based method for graded cursor control. Psychobiology. 21(1). 77–81. 88 indexed citations
14.
Calvet, Robert J., John O’Brien, & G.W. Neat. (1993). <title>Validation of an integrated modeling tool applied to the Micro-Precision Interferometer Testbed</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1947. 126–138. 1 indexed citations
15.
Neat, G.W., et al.. (1992). Joint Langley Research Center/Jet Propulsion Laboratory CSI experiment. 387–405. 2 indexed citations
16.
Neat, G.W., et al.. (1992). Comparison and extension of a direct model reference adaptive control procedure. International Journal of Control. 55(4). 945–967. 9 indexed citations
17.
Red-Horse, John, et al.. (1992). System identification of the JPL Micro-Precision Interferometer truss. A overview. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 604. 1 indexed citations
18.
Wolpaw, Jonathan R., Dennis J. McFarland, G.W. Neat, & Catherine A Forneris. (1991). An EEG-based brain-computer interface for cursor control. Electroencephalography and Clinical Neurophysiology. 78(3). 252–259. 787 indexed citations breakdown →
19.
Neat, G.W., H. Kaufman, & Rajkumar Roy. (1989). Expert adaptive control for drug delivery systems. IEEE Control Systems Magazine. 9(4). 20–24. 16 indexed citations
20.
Neat, G.W., John T. Wen, & H. Kaufman. (1989). Expert Hierarchical Adaptive Control. 13–18. 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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