J. Markel

6.2k total citations · 1 hit paper
45 papers, 4.5k citations indexed

About

J. Markel is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, J. Markel has authored 45 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Signal Processing, 17 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in J. Markel's work include Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (14 papers) and Advanced Data Compression Techniques (13 papers). J. Markel is often cited by papers focused on Speech and Audio Processing (28 papers), Speech Recognition and Synthesis (14 papers) and Advanced Data Compression Techniques (13 papers). J. Markel collaborates with scholars based in United States and Mexico. J. Markel's co-authors include Alfred Gray, Augustine H. Gray, Robert M. Gray, A. Buzo, David Y. Wong, Beatrice T. Oshika, S. Davis, Yasuo Koike, Robert D. Arnott and Steven J. Davis and has published in prestigious journals such as The Journal of the Acoustical Society of America, Annals of Otology Rhinology & Laryngology and IEEE Transactions on Acoustics Speech and Signal Processing.

In The Last Decade

J. Markel

40 papers receiving 3.8k citations

Hit Papers

Linear Prediction of Speech 1976 2026 1992 2009 1976 500 1000 1.5k
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.

  1. Linear Prediction of Speech
    1976 1.6k citations J. Markel, Augustine H. Gray profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Markel United States 20 3.1k 1.8k 1.6k 920 494 45 4.5k
Bishnu S. Atal United States 29 4.3k 1.4× 2.6k 1.5× 2.5k 1.6× 951 1.0× 580 1.2× 100 5.5k
James L. Flanagan United States 32 3.5k 1.2× 2.2k 1.3× 1.2k 0.8× 1.3k 1.4× 1.2k 2.5× 197 5.8k
B. Yegnanarayana India 45 5.3k 1.7× 4.8k 2.7× 1.1k 0.7× 653 0.7× 1.5k 3.1× 310 7.3k
J.R. Deller United States 16 1.9k 0.6× 1.4k 0.8× 543 0.3× 571 0.6× 208 0.4× 102 2.9k
M.H. Ackroyd United Kingdom 13 1.2k 0.4× 758 0.4× 593 0.4× 341 0.4× 202 0.4× 33 2.3k
Kiyohiro Shikano Japan 36 5.2k 1.7× 4.9k 2.8× 975 0.6× 1.1k 1.2× 385 0.8× 417 7.4k
Ben Gold United States 19 1.9k 0.6× 610 0.3× 928 0.6× 601 0.7× 113 0.2× 37 3.8k
W. Bastiaan Kleijn Sweden 34 3.3k 1.1× 1.9k 1.1× 2.3k 1.5× 1.4k 1.6× 282 0.6× 302 5.2k
Julius O. Smith United States 35 4.0k 1.3× 658 0.4× 2.7k 1.7× 1.1k 1.2× 127 0.3× 267 5.7k
Fumitada Itakura Japan 22 2.5k 0.8× 1.5k 0.8× 835 0.5× 597 0.6× 228 0.5× 135 3.4k

Countries citing papers authored by J. Markel

Since Specialization
Citations

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

Fields of papers citing papers by J. Markel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Markel

This figure shows the co-authorship network connecting the top 25 collaborators of J. Markel. A scholar is included among the top collaborators of J. Markel 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 J. Markel. J. Markel 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
1.
Mansour, D., et al.. (2005). Study of echo cancelling algorithms for full duplex telephone networks with vocoders. 6. 1074–1077. 1 indexed citations
2.
3.
4.
Wong, David Y. & J. Markel. (2005). An intelligibility evaluation of several linear prediction vocoder modifications. 2. 208–211. 1 indexed citations
5.
Buzo, A., Alfred Gray, Robert M. Gray, & J. Markel. (1980). Speech coding based upon vector quantization. IEEE Transactions on Acoustics Speech and Signal Processing. 28(5). 562–574. 411 indexed citations
6.
Gray, Alfred & J. Markel. (1977). A note on "A computer program for designing digital elliptic filters". IEEE Transactions on Acoustics Speech and Signal Processing. 25(3). 267–267. 1 indexed citations
7.
Markel, J., Beatrice T. Oshika, & Alfred Gray. (1977). Long-term feature averaging for speaker recognition. IEEE Transactions on Acoustics Speech and Signal Processing. 25(4). 330–337. 61 indexed citations
8.
Gray, Alfred, Robert M. Gray, & J. Markel. (1977). Comparison of optimal quantizations of speech reflection coefficients. IEEE Transactions on Acoustics Speech and Signal Processing. 25(1). 9–23. 34 indexed citations
9.
Markel, J. & David Y. Wong. (1976). Considerations in the estimation of glottal volume velocity waveforms. The Journal of the Acoustical Society of America. 59(S1). S96–S97. 4 indexed citations
10.
Markel, J. & Augustine H. Gray. (1976). Linear Prediction of Speech. 1627 indexed citations breakdown →
11.
Markel, J., Beatrice T. Oshika, & Alfred Gray. (1976). Long-term feature averaging in voice authentication. The Journal of the Acoustical Society of America. 60(S1). S13–S13. 1 indexed citations
12.
Gray, Alfred & J. Markel. (1975). COSH measure for speech processing. The Journal of the Acoustical Society of America. 58(S1). S97–S97. 4 indexed citations
13.
Koike, Yasuo & J. Markel. (1975). Application of Inverse Filtering for Detecting Laryngeal Pathology. Annals of Otology Rhinology & Laryngology. 84(1). 117–124. 36 indexed citations
14.
Gray, Alfred & J. Markel. (1974). A spectral-flatness measure for studying the autocorrelation method of linear prediction of speech analysis. IEEE Transactions on Acoustics Speech and Signal Processing. 22(3). 207–217. 97 indexed citations
15.
Markel, J. & Alfred Gray. (1974). Fixed-point truncation arithmetic implementation of a linear prediction autocorrelation vocoder. IEEE Transactions on Acoustics Speech and Signal Processing. 22(4). 273–282. 17 indexed citations
16.
Markel, J. & Y. Koike. (1974). Early Acoustic Detection of Laryngeal Pathology. The Journal of the Acoustical Society of America. 55(2_Supplement). 398–398.
17.
Markel, J. & Alfred Gray. (1974). A linear prediction vocoder simulation based upon the autocorrelation method. IEEE Transactions on Acoustics Speech and Signal Processing. 22(2). 124–134. 56 indexed citations
18.
Gray, Alfred & J. Markel. (1973). Digital lattice and ladder filter synthesis. IEEE Transactions on Audio and Electroacoustics. 21(6). 491–500. 227 indexed citations
19.
Markel, J. & Alfred Gray. (1973). On autocorrelation equations as applied to speech analysis. IEEE Transactions on Audio and Electroacoustics. 21(2). 69–79. 112 indexed citations
20.
Markel, J.. (1973). Application of a digital inverse filter for automatic formant and F<inf>o</inf>analysis. IEEE Transactions on Audio and Electroacoustics. 21(3). 154–160. 13 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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