L. Marple

1.4k total citations · 1 hit paper
10 papers, 951 citations indexed

About

L. Marple is a scholar working on Civil and Structural Engineering, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, L. Marple has authored 10 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 6 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in L. Marple's work include Structural Health Monitoring Techniques (6 papers), Blind Source Separation Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). L. Marple is often cited by papers focused on Structural Health Monitoring Techniques (6 papers), Blind Source Separation Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). L. Marple collaborates with scholars based in United States. L. Marple's co-authors include Albert H. Nuttall and Steven Kay and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Acoustics Speech and Signal Processing and IEE Proceedings F Communications, Radar and Signal Processing.

In The Last Decade

L. Marple

8 papers receiving 895 citations

Hit Papers

align trajectories

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.

Computing the discrete-time "analytic" signal via FFT

1999 539 citations L. Marple IEEE Transactions on Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Marple United States	7	272	163	150	134	132	10	951
Theodor D. Popescu Romania	13	253 0.9×	199 1.2×	379 2.5×	119 0.9×	158 1.2×	64	1.2k
S.J. Orfanidis United States	15	244 0.9×	233 1.4×	119 0.8×	136 1.0×	68 0.5×	29	1.3k
Dapang Chen United States	7	198 0.7×	104 0.6×	239 1.6×	231 1.7×	118 0.9×	11	792
Liangyue Cao Australia	9	223 0.8×	156 1.0×	257 1.7×	102 0.8×	75 0.6×	20	1.7k
C.W. Therrien United States	14	370 1.4×	223 1.4×	136 0.9×	343 2.6×	96 0.7×	57	1.1k
Stefan L. Hahn Poland	9	123 0.5×	154 0.9×	171 1.1×	213 1.6×	122 0.9×	20	757
S.M. Kogon United States	12	404 1.5×	222 1.4×	90 0.6×	101 0.8×	62 0.5×	30	1.0k
E.L. Dagless United Kingdom	11	190 0.7×	319 2.0×	127 0.8×	199 1.5×	48 0.4×	52	1.2k
Temujin Gautama Belgium	12	187 0.7×	66 0.4×	127 0.8×	245 1.8×	112 0.8×	25	847
M.R. Portnoff United States	8	504 1.9×	107 0.7×	151 1.0×	310 2.3×	65 0.5×	12	859

Countries citing papers authored by L. Marple

Since Specialization

Citations

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

Fields of papers citing papers by L. Marple

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Marple

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Marple, L.. (2005). Spectral line analysis by Pisarenko and Prony methods. 4. 159–161. 10 indexed citations

2.

Marple, L.. (2005). Resolution of conventional Fourier, autoregressive, and special ARMA methods of spectrum analysis. 2. 74–77. 28 indexed citations

3.

Marple, L.. (2005). Exponential energy spectral density estimation. 5. 588–591.

4.

Marple, L.. (2005). High resolution autoregressive spectrum analysis using noise power cancellation. 3. 345–348. 3 indexed citations

5.

Kay, Steven & L. Marple. (2005). Sources of and remedies for spectral line splitting in autoregressive spectrum analysis. 4. 151–154. 10 indexed citations

6.

Marple, L.. (2005). Fast least squares FIR system identification. 6. 852–855.

7.

Marple, L.. (1999). Computing the discrete-time "analytic" signal via FFT. IEEE Transactions on Signal Processing. 47(9). 2600–2603. 539 indexed citations breakdown →

8.

Marple, L. & Albert H. Nuttall. (1983). Experimental comparison of three multichannel linear prediction spectral estimators. IEE Proceedings F Communications, Radar and Signal Processing. 130(3). 218–229. 23 indexed citations

9.

Marple, L. & Albert H. Nuttall. (1983). Experimental comparison of three multichannel linear prediction spectral estimators. IEE Proceedings F Communications Radar and Signal Processing. 130(3). 218–218. 24 indexed citations

10.

Marple, L.. (1980). A new autoregressive spectrum analysis algorithm. IEEE Transactions on Acoustics Speech and Signal Processing. 28(4). 441–454. 314 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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