H. Gish

4.8k citations
86 papers · 3.2k indexed · 1 hit paper · h-index 25

H. Gish

82 papers receiving 2.7k citations

Hit Papers

Vector quantization in speech coding5981985202619982012100200300400500

Peers

H. Gish
Comparison fields: 5 of 123
  • Signal Processing 1.9k
  • Artificial Intelligence 2.2k
  • Computer Vision and Pattern Recognition 978
  • Computer Networks and Communications 184
  • Experimental and Cognitive Psychology 89
Replace Frank Seide with:
Frank Seide China
S. Levinson United States
Özgür Çetin United States
Joe Frankel United Kingdom
Peder A. Olsen United States
Nash Borges United States
Wonyong Sung South Korea
M.H. Ackroyd United Kingdom
Xuemin Chi China
Pedro J. Moreno United States
H. Gish relative to Frank Seide China Frank Seide's profile →
Citations per field
00.5×1.5×
Frank Seide · 1×
Citations per year

Countries citing papers authored by H. Gish

Since Specialization
Citations

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

Fields of papers citing papers by H. Gish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside H. Gish, 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. Gish Line = papers co-authored together H. Gish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201350
2 201114
3 201020
4 2007191
5 20054
6 20059
7 2003133
8 200326
9 200212
10 20023
11 2002174
12 20023
13 199942
14 199750
15 199747
16 19958
17 19948
18 199316
19 19854
20
OPTIMUM QUANTIZATION OF RANDOM SEQUENCES.
19676

About H. Gish

H. Gish is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability and Aerospace Engineering, having authored 86 papers that have together received 3.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (48 papers), Speech and Audio Processing (31 papers), Natural Language Processing Techniques (23 papers), Music and Audio Processing (16 papers), Speech and dialogue systems (13 papers), Advanced Data Compression Techniques (11 papers), Blind Source Separation Techniques (5 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Signal Processing (1.9k citations), Artificial Intelligence (2.2k citations), Computer Vision and Pattern Recognition (978 citations), Computer Networks and Communications (184 citations) and Experimental and Cognitive Psychology (89 citations). H. Gish has collaborated with scholars based in United States, Hong Kong and Sweden. Frequent co-authors include S. Roucos, J. Makhoul, John R. Pierce, Man-Hung Siu, Ellen Eide, Kenney Ng, Ján Rohlíček, D. Cochran, Alexander Mielke and W. Russell. Their work appears in journals such as Computer Speech & Language, Proceedings of the IEEE, IEEE Signal Processing Letters, IEEE Signal Processing Magazine and IEEE Transactions on Audio Speech and Language Processing.

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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