D. Slepian

14.7k citations
51 papers · 9.7k indexed · 4 hit papers · h-index 32
Topics
Image and Signal Denoising Methods (7 papers)Mathematical Analysis and Transform Methods (7 papers)Cooperative Communication and Network Coding (6 papers)
Partner nations
United StatesJapan

In The Last Decade

D. Slepian

50 papers receiving 8.6k citations

Hit Papers

Noiseless coding of correlated information sources1961202619822004197319611978196250010001.5k2.0k2.5k

Peers

D. Slepian
Comparison fields: 5 of 151
  • Electrical and Electronic Engineering 4.1k
  • Computer Networks and Communications 2.6k
  • Computer Vision and Pattern Recognition 2.4k
  • Applied Mathematics 1.5k
  • Artificial Intelligence 1.4k
Replace Charles F. Van Loan with:
Charles F. Van Loan United States
G. W. Stewart United States
I.M. RYZHIK United States
Thomas Strohmer United States
Ulf Grenander United States
J. H. Wilkinson United Kingdom
C Moler United States
Alan Jeffrey United Kingdom
Åke Björck Sweden
Sanjoy K. Mitter United States
D. Slepian relative to Charles F. Van Loan United States Charles F. Van Loan's profile →
Citations per field
00.5×2.9×
Charles F. Van Loan · 1×
Citations per year

Countries citing papers authored by D. Slepian

Since Specialization
Citations

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

Fields of papers citing papers by D. Slepian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Slepian

This figure shows the co-authorship network connecting the top 25 collaborators of D. Slepian. A scholar is included among the top collaborators of D. Slepian 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 D. Slepian. D. Slepian 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
#WorkIndexed citations
1 5
2 36
3
Prolate Spheroidal Wave Functions, Fourier Analysis, and Uncertainty-V: The Discrete Casebreakdown →
1169
4
On bandwidth
253
5
Key papers in the development of information theory
32
6 256
7
Noiseless coding of correlated information sourcesbreakdown →
2622
8 11
9 30
10 37
11 83
12 217
13 4
14
The One-Sided Barrier Problem for Gaussian Noisebreakdown →
491
15 24
16 88
17 60
18 77
19 121
20 152

About D. Slepian

D. Slepian is a scholar working on Applied Mathematics, Signal Processing and Statistical and Nonlinear Physics, having authored 51 papers that have together received 9.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (7 papers), Mathematical Analysis and Transform Methods (7 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Applied Mathematics (1.5k citations), Computer Vision and Pattern Recognition (2.4k citations) and Signal Processing (1.3k citations). D. Slepian has collaborated with scholars based in United States and Japan. Frequent co-authors include J.K. Wolf, H. O. Pollak, Jack K. Wolf, Mark Kac, H. J. Landau, Ulf Grenander, M. Rosenblatt, L. A. Shepp, T. Kadota and A.D. Wyner. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and SIAM Journal on Numerical Analysis.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026