R.H. Brown

1.0k total citations
65 papers, 817 citations indexed

About

R.H. Brown is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, R.H. Brown has authored 65 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 24 papers in Electrical and Electronic Engineering and 15 papers in Artificial Intelligence. Recurrent topics in R.H. Brown's work include Neural Networks and Applications (15 papers), Energy Load and Power Forecasting (12 papers) and Electric Motor Design and Analysis (11 papers). R.H. Brown is often cited by papers focused on Neural Networks and Applications (15 papers), Energy Load and Power Forecasting (12 papers) and Electric Motor Design and Analysis (11 papers). R.H. Brown collaborates with scholars based in United States and New Zealand. R.H. Brown's co-authors include Richard J. Povinelli, Susan C. Schneider, J.F. Bangura, N.A. Demerdash, George F. Corliss, W. Murray Thomson, Timothy Ruchti, Nabeel A. O. Demerdash, Stephen Marcus and Charles F. Streckfus and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.

In The Last Decade

R.H. Brown

56 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R.H. Brown United States	14	403	325	207	78	78	65	817
Chang-Hwan Kim South Korea	16	524 1.3×	590 1.8×	74 0.4×	72 0.9×	8 0.1×	54	817
Nantian Huang China	18	335 0.8×	507 1.6×	77 0.4×	109 1.4×	25 0.3×	31	789
Zhaosheng Teng China	21	545 1.4×	1.2k 3.5×	109 0.5×	109 1.4×	7 0.1×	111	1.5k
Christoph Ament Germany	13	245 0.6×	97 0.3×	196 0.9×	47 0.6×	10 0.1×	117	815
Grzegorz Kłosowski Poland	17	116 0.3×	505 1.6×	214 1.0×	84 1.1×	12 0.2×	80	924
Fan Xu China	15	320 0.8×	504 1.6×	127 0.6×	75 1.0×	15 0.2×	28	956
Jie Bai China	15	98 0.2×	173 0.5×	50 0.2×	90 1.2×	8 0.1×	96	732
M.J. Devaney United States	16	714 1.8×	687 2.1×	378 1.8×	65 0.8×	8 0.1×	58	1.3k
Jau‐Woei Perng Taiwan	16	515 1.3×	243 0.7×	190 0.9×	141 1.8×	9 0.1×	77	1.0k

Countries citing papers authored by R.H. Brown

Since Specialization

Citations

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

Fields of papers citing papers by R.H. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.H. Brown. 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 R.H. Brown. The network helps show where R.H. Brown may publish in the future.

Co-authorship network of co-authors of R.H. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of R.H. Brown. A scholar is included among the top collaborators of R.H. Brown 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 R.H. Brown. R.H. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Povinelli, Richard J., et al.. (2017). Deep Neural Network Regression for Short-Term Load Forecasting of Natural Gas. e-Publications@Marquette (Marquette University). 11 indexed citations

Povinelli, Richard J., et al.. (2017). Deep Neural Network Regression as a Component of a Forecast Ensemble. e-Publications@Marquette (Marquette University). 3 indexed citations

Brown, R.H., et al.. (2016). Identifying extreme cold events using phase space reconstruction. 3(3). 259–259. 2 indexed citations

Corliss, George F., et al.. (2015). Using Surrogate Data to Mitigate the Risks of Natural Gas Forecasting on Unusual Days. e-Publications@Marquette (Marquette University). 3 indexed citations

Brown, R.H., et al.. (2014). Forecasting Natural Gas Design Day Demand from Historical Monthly Data. 2 indexed citations

Brown, R.H., et al.. (2012). Forecasting Natural Gas Demand: The Role of Physical and Economic Factors. e-publications - Marquette (Marquette University). 2 indexed citations

Brown, R.H., et al.. (2010). Detrending Daily Natural Gas Demand Data Using Domain Knowledge. e-Publications@Marquette (Marquette University). 3 indexed citations

Brown, R.H., et al.. (2009). Mathematical Models for Natural Gas Forecasting. e-Publications@Marquette (Marquette University). 38 indexed citations

Brown, R.H., Yanhe Zhu, & Xuewei Feng. (2003). A new relaxation algorithm for the time optimal control problem of step motors. 907–908.

10.

Brown, R.H. & Timothy Ruchti. (2003). Gray layer technology: incorporating a priori knowledge into feedforward artificial neural networks. 1. 806–811.

11.

Brown, R.H., Timothy Ruchti, & Xuewei Feng. (2002). On identification of partially known dynamic nonlinear systems with neural network. 4. 499–504. 2 indexed citations

12.

Povinelli, Richard J., J.F. Bangura, N.A. Demerdash, & R.H. Brown. (2002). Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state space modeling. 14. 809–813. 4 indexed citations

13.

Ruchti, Timothy, et al.. (2002). Kalman based artificial neural network training algorithms for nonlinear system identification. 1. 582–587. 3 indexed citations

14.

Brown, R.H., et al.. (2002). On algorithms for velocity estimation using discrete position encoders. 2. 844–849. 31 indexed citations

15.

Brown, R.H., et al.. (2002). Switched reluctance motor control with artificial neural networks. TB1/2.1–TB1/2.3. 1 indexed citations

16.

Povinelli, Richard J., J.F. Bangura, N.A. Demerdash, & R.H. Brown. (2002). Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling. IEEE Power Engineering Review. 22(2). 58–59. 48 indexed citations

17.

Brown, R.H., et al.. (2001). Robust stability of singularly perturbed state feedback systems using unified approach. IEE Proceedings - Control Theory and Applications. 148(5). 391–396. 28 indexed citations

18.

Povinelli, Richard J., et al.. (2000). Diagnostics of Faults in Induction Motor ASDs Using Time-Stepping Coupled Finite Element State-Space and Time Series Data Mining Techniques. 3 indexed citations

19.

Streckfus, Charles F., et al.. (1994). Parotid function and composition of parotid saliva among elderly edentulous African – American diabetics. Journal of Oral Pathology and Medicine. 23(6). 277–279. 29 indexed citations

20.

Ruchti, Timothy, R.H. Brown, Dean C. Jeutter, & Xin Feng. (1993). Identification algorithm for systemic arterial parameters with application to total artificial heart control. Annals of Biomedical Engineering. 21(3). 221–236. 13 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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