Larry D. Paarmann

476 total citations
16 papers, 340 citations indexed

About

Larry D. Paarmann is a scholar working on Signal Processing, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Larry D. Paarmann has authored 16 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 8 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Larry D. Paarmann's work include Neural Networks and Applications (7 papers), Image and Signal Denoising Methods (4 papers) and Control Systems and Identification (4 papers). Larry D. Paarmann is often cited by papers focused on Neural Networks and Applications (7 papers), Image and Signal Denoising Methods (4 papers) and Control Systems and Identification (4 papers). Larry D. Paarmann collaborates with scholars based in United States, Canada and Bangladesh. Larry D. Paarmann's co-authors include Michael J. Korenberg, Michael J. Korenberg, Michael K. Wynne, Jun Bi, Hyuck M. Kwon and Wenhao Xiong and has published in prestigious journals such as IEEE Transactions on Automatic Control, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.

In The Last Decade

Larry D. Paarmann

16 papers receiving 314 citations

Peers

Larry D. Paarmann
P. Yee Canada
D.J. Sebald United States
L.P. Calôba Brazil
Miguel Pinzolas Spain
J. Schroeder United States
Djamel Chikouche Algeria
Enzo Mumolo Italy
Chen Meng China
M. Turki-Hadj Alouane Tunisia
V.K. Aatre Canada
P. Yee Canada
Larry D. Paarmann
Citations per year, relative to Larry D. Paarmann Larry D. Paarmann (= 1×) peers P. Yee

Countries citing papers authored by Larry D. Paarmann

Since Specialization
Citations

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

Fields of papers citing papers by Larry D. Paarmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry D. Paarmann. 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 Larry D. Paarmann. The network helps show where Larry D. Paarmann may publish in the future.

Co-authorship network of co-authors of Larry D. Paarmann

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

All Works

16 of 16 papers shown
1.
Paarmann, Larry D., et al.. (2009). BIOLOGICAL-VISION INSPIRED DSA SYSTEM FOR UAVS. 502–505. 1 indexed citations
2.
Paarmann, Larry D., et al.. (2005). Mapping from the s-domain to the z-domain via the phase-invariance method. Signal Processing. 86(2). 223–229. 7 indexed citations
3.
Paarmann, Larry D., et al.. (2002). Short-term power load forecasting based on autocorrelation function optimization. 2. 1475–1478. 2 indexed citations
4.
Paarmann, Larry D., et al.. (2002). Design of linear phase Bessel IIR digital filters. 2. 623–626. 2 indexed citations
5.
Paarmann, Larry D., et al.. (2002). Short-term electric load forecasting using neural network models. 3. 1436–1439. 11 indexed citations
6.
Paarmann, Larry D., et al.. (2002). Analysis of the Wigner-Ville transform of periodic signals. 68–71. 6 indexed citations
7.
Paarmann, Larry D.. (2001). Design and Analysis of Analog Filters: A Signal Processing Perspective. TU Digital Collections (Thammasat University). 90 indexed citations
8.
Paarmann, Larry D.. (1998). Mapping from the s-domain to the z-domain via the magnitude-invariance method. Signal Processing. 69(3). 219–228. 7 indexed citations
9.
Paarmann, Larry D. & Michael K. Wynne. (1996). Bimodal perception of spectrum compressed speech. 4th International Conference on Spoken Language Processing (ICSLP 1996). 169–172. 1 indexed citations
10.
Paarmann, Larry D., et al.. (1995). Adaptive online load forecasting via time series modeling. Electric Power Systems Research. 32(3). 219–225. 27 indexed citations
11.
Paarmann, Larry D., et al.. (1994). Bimodal perception of spectrum compressed speech. The Journal of the Acoustical Society of America. 95(5_Supplement). 2975–2976. 1 indexed citations
12.
Paarmann, Larry D. & Michael J. Korenberg. (1992). Estimation of the parameters of an ARMA signal model based on an orthogonal search. IEEE Transactions on Automatic Control. 37(3). 347–352. 7 indexed citations
13.
Korenberg, Michael J. & Larry D. Paarmann. (1991). Orthogonal approaches to time-series analysis and system identification. IEEE Signal Processing Magazine. 8(3). 29–43. 118 indexed citations
14.
Korenberg, Michael J. & Larry D. Paarmann. (1989). Applications of fast orthogonal search: Time-series analysis and resolution of signals in noise. Annals of Biomedical Engineering. 17(3). 219–231. 46 indexed citations
15.
Korenberg, Michael J. & Larry D. Paarmann. (1989). An orthogonal ARMA identifier with automatic order estimation for biological modeling. Annals of Biomedical Engineering. 17(6). 571–592. 13 indexed citations
16.
Paarmann, Larry D.. (1989). Modelling Of Stochastic/Deterministic Mixed Signals Using A Modified Multipulse Analvsis Technique. International Journal of Modelling and Simulation. 9(2). 39–43. 1 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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