G.G. Walter

1.8k total citations · 1 hit paper
40 papers, 1.3k citations indexed

About

G.G. Walter is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, G.G. Walter has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Applied Mathematics, 16 papers in Computer Vision and Pattern Recognition and 9 papers in Statistics and Probability. Recurrent topics in G.G. Walter's work include Image and Signal Denoising Methods (15 papers), Mathematical Analysis and Transform Methods (15 papers) and Advanced Statistical Methods and Models (5 papers). G.G. Walter is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Mathematical Analysis and Transform Methods (15 papers) and Advanced Statistical Methods and Models (5 papers). G.G. Walter collaborates with scholars based in United States, Austria and Finland. G.G. Walter's co-authors include Jun Zhang, J. R. Blum, G. G. Hamedani, V. Susarla, Jie Zhang, Hamid Krim, Xiaoping Shen, N. J. Salamon, Ahmed I. Zayed and Alireza Baghai‐Wadji and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and Pattern Recognition.

In The Last Decade

G.G. Walter

40 papers receiving 1.1k 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.

Wavelet neural networks for function learning

1995 539 citations Jun Zhang, G.G. Walter et al. 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
G.G. Walter United States	13	486	382	338	321	193	40	1.3k
G.L. Wise United States	15	589 1.2×	106 0.3×	298 0.9×	171 0.5×	310 1.6×	78	1.5k
Luoqing Li China	23	770 1.6×	201 0.5×	424 1.3×	132 0.4×	191 1.0×	100	1.6k
Felix Abramovich Israel	13	570 1.2×	179 0.5×	183 0.5×	112 0.3×	131 0.7×	29	1.3k
Gilbert G. Walter United States	16	461 0.9×	459 1.2×	96 0.3×	91 0.3×	119 0.6×	73	1.0k
E. Masry United States	22	231 0.5×	151 0.4×	370 1.1×	231 0.7×	306 1.6×	66	1.7k
J. Woods United States	16	1.6k 3.3×	104 0.3×	334 1.0×	191 0.6×	702 3.6×	46	2.3k
Frederick J. Beutler United States	17	143 0.3×	140 0.4×	161 0.5×	112 0.3×	120 0.6×	47	946
Giorgio Picci Italy	21	131 0.3×	95 0.2×	225 0.7×	1.1k 3.5×	90 0.5×	111	1.6k
David M. Bradley United States	22	325 0.7×	163 0.4×	145 0.4×	79 0.2×	30 0.2×	55	1.4k
Tao Qian Macao	26	846 1.7×	1.3k 3.4×	107 0.3×	585 1.8×	410 2.1×	214	2.6k

Countries citing papers authored by G.G. Walter

Since Specialization

Citations

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

Fields of papers citing papers by G.G. Walter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.G. Walter

This figure shows the co-authorship network connecting the top 25 collaborators of G.G. Walter. A scholar is included among the top collaborators of G.G. Walter 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.G. Walter. G.G. Walter 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:

20 of 20 papers shown

1.

Walter, G.G.. (2013). ANNUAL INDICES OF SKIPJACK TUNA (KATSUWONUS PELAMIS) LARVAE IN THE GULF OF MEXICO (1982-2011). 1 indexed citations

2.

Walter, G.G., et al.. (2013). DEVELOPMENT OF INDICES OF LARVAL BLUEFIN TUNA (THUNNUS THYNNUS) IN THE WESTERN MEDITERRANEAN SEA. 9 indexed citations

3.

Walter, G.G.. (2008). Chromatic Series with Prolate Spheroidal Wave Functions. Journal of Integral Equations and Applications. 20(2). 6 indexed citations

4.

Walter, G.G., William J. Richards, Clay E. Porch, et al.. (2008). ANNUAL INDICES OF BLUEFIN TUNA (THUNNUS THYNNUS) SPAWNING BIOMASS IN THE GULF OF MEXICO DEVELOPED USING DELTA-LOGNORMAL AND MULTIVARIATE MODELS. 3 indexed citations

5.

Walter, G.G., et al.. (2006). Prolate Spheroidal Wavelet Sampling in Computerized Tomography. 5(1). 21–36. 1 indexed citations

6.

Walter, G.G., et al.. (2005). A new friendly method of computing prolate spheroidal wave functions and wavelets. Applied and Computational Harmonic Analysis. 19(3). 432–443. 42 indexed citations

7.

Walter, G.G., et al.. (2004). Slepian semi-wavelets and their use in modeling of fading envelop. 25. 250–252. 1 indexed citations

8.

Krim, Hamid, et al.. (2003). Object representation and recognition in shape spaces. Pattern Recognition. 36(5). 1143–1154. 37 indexed citations

9.

Walter, G.G. & Jie Zhang. (1998). Orthonormal wavelets with simple closed-form expressions. IEEE Transactions on Signal Processing. 46(8). 2248–2251. 24 indexed citations

10.

Walter, G.G.. (1995). Pointwise Convergence of Wavelet Expansions. Journal of Approximation Theory. 80(1). 108–118. 52 indexed citations

11.

Zhang, Jun, et al.. (1995). Wavelet neural networks for function learning. IEEE Transactions on Signal Processing. 43(6). 1485–1497. 539 indexed citations breakdown →

12.

Walter, G.G.. (1993). Negative Spline Wavelets. Journal of Mathematical Analysis and Applications. 177(1). 239–253. 1 indexed citations

13.

Walter, G.G. & G. G. Hamedani. (1989). Bayes empirical Bayes estimation for discrete exponential families. Annals of the Institute of Statistical Mathematics. 41(1). 101–119. 2 indexed citations

14.

Walter, G.G. & G. G. Hamedani. (1988). Empiric bayes estimation of hypergeometric probability. Metrika. 35(1). 127–143. 1 indexed citations

15.

Walter, G.G.. (1988). An alternative approach to ill-posed problems. Journal of Integral Equations and Applications. 1(2). 2 indexed citations

16.

Hamedani, G. G. & G.G. Walter. (1988). Bayes estimation of the binomial parameter n. Communication in Statistics- Theory and Methods. 17(6). 1829–1843. 8 indexed citations

17.

Walter, G.G. & G. G. Hamedani. (1987). Empiric bayes estimation of binomial probability. Communication in Statistics- Theory and Methods. 16(2). 559–577. 6 indexed citations

18.

Walter, G.G. & J. R. Blum. (1979). Probability Density Estimation Using Delta Sequences. The Annals of Statistics. 7(2). 99 indexed citations

19.

Walter, G.G.. (1976). Hermite series as boundary values. Transactions of the American Mathematical Society. 218(0). 155–171. 2 indexed citations

20.

Walter, G.G.. (1971). Hermite series solutions of differential equations. Journal of Differential Equations. 10(1). 1–16. 7 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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