H.F. Silverman

3.3k citations
92 papers · 2.1k indexed · h-index 23

H.F. Silverman

83 papers receiving 1.9k citations

Peers

H.F. Silverman
Comparison fields: 5 of 89
  • Signal Processing 1.4k
  • Hardware and Architecture 313
  • Computational Mechanics 496
  • Artificial Intelligence 534
  • Electrical and Electronic Engineering 670
Replace Hiroshi Sawada with:
Hiroshi Sawada Japan
Bhaskar D. Rao United States
Wonyong Sung South Korea
A.B. Premkumar Singapore
Stefan Bilbao United Kingdom
M.H. Ackroyd United Kingdom
J. Markel United States
T.P. Barnwell United States
Haitham Hassanieh United States
Roger Woods United Kingdom
H.F. Silverman relative to Hiroshi Sawada Japan Hiroshi Sawada's profile →
Citations per field
00.5×1.5×2.0×
Hiroshi Sawada · 1×
Citations per year

Countries citing papers authored by H.F. Silverman

Since Specialization
Citations

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

Fields of papers citing papers by H.F. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside H.F. Silverman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H.F. Silverman Line = papers co-authored together H.F. Silverman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20053
2 20052
3 20055
4 20055
5 20050
6 20030
7 20037
8 20026
9 20022
10 200232
11 20026
12 199847
13 19964
14 199421
15 19938
16 19919
17 19913
18 19896
19
Some architectural concepts for speech recognition.
19851
20 19732

About H.F. Silverman

H.F. Silverman is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (59 papers), Advanced Adaptive Filtering Techniques (30 papers), Speech Recognition and Synthesis (30 papers), Music and Audio Processing (18 papers), Digital Filter Design and Implementation (11 papers), Acoustic Wave Phenomena Research (11 papers), Image and Signal Denoising Methods (7 papers) and Indoor and Outdoor Localization Technologies (7 papers). The work is most often cited by research in Signal Processing (1.4k citations), Hardware and Architecture (313 citations), Computational Mechanics (496 citations), Artificial Intelligence (534 citations) and Electrical and Electronic Engineering (670 citations). H.F. Silverman has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include M.S. Brandstein, Peter M. Athanas, John Adcock, N. Dixon, William R. Patterson, D.P. Morgan, James L. Flanagan, William R. Patterson, James T. Rayfield and Douglas Sturim. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Signal Processing Letters, Computer, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

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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