N. Dixon

427 total citations
28 papers, 283 citations indexed

About

N. Dixon is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, N. Dixon has authored 28 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Signal Processing and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in N. Dixon's work include Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (15 papers) and Speech and dialogue systems (7 papers). N. Dixon is often cited by papers focused on Speech Recognition and Synthesis (20 papers), Speech and Audio Processing (15 papers) and Speech and dialogue systems (7 papers). N. Dixon collaborates with scholars based in United States and Japan. N. Dixon's co-authors include H.F. Silverman, Charles C. Tappert, T. Kaneko, Thomas Martin, J. C. Yu, L.R. Bahl, Jyh‐Cheng Yu, R. L. Mercer, Paul S. Cohen and F. Jelinek and has published in prestigious journals such as The Journal of the Acoustical Society of America, AIAA Journal and Artificial Intelligence.

In The Last Decade

N. Dixon

25 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Dixon United States 10 249 199 78 30 14 28 283
G. Zavaliagkos United States 13 459 1.8× 322 1.6× 54 0.7× 51 1.7× 4 0.3× 31 487
Toomas Altosaar Finland 9 168 0.7× 136 0.7× 51 0.7× 44 1.5× 17 1.2× 35 224
R.A. Sukkar United States 10 273 1.1× 171 0.9× 18 0.2× 54 1.8× 6 0.4× 29 318
L. Welling Germany 9 284 1.1× 253 1.3× 55 0.7× 29 1.0× 19 1.4× 11 314
Venkata Ramana Rao Gadde United States 9 293 1.2× 259 1.3× 31 0.4× 37 1.2× 15 1.1× 13 344
Stephan Kanthak Germany 13 439 1.8× 183 0.9× 20 0.3× 37 1.2× 5 0.4× 20 454
Joel Pinto Switzerland 11 306 1.2× 240 1.2× 27 0.3× 23 0.8× 6 0.4× 24 344
Bajibabu Bollepalli Finland 8 225 0.9× 188 0.9× 59 0.8× 21 0.7× 10 0.7× 24 282
Aruna Bayya United States 6 262 1.1× 286 1.4× 34 0.4× 48 1.6× 29 2.1× 11 336
G. Evermann United Kingdom 11 505 2.0× 317 1.6× 26 0.3× 60 2.0× 4 0.3× 17 521

Countries citing papers authored by N. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by N. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of N. Dixon. A scholar is included among the top collaborators of N. Dixon 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 N. Dixon. N. Dixon 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.
Silverman, H.F., et al.. (2005). A comparison of three feature vector clustering procedures in a speech recognition paradigm. 8. 765–768. 3 indexed citations
2.
Silverman, H.F., et al.. (2005). Study of human and machine discrete utterance recognition (DUR). 7. 2022–2025. 5 indexed citations
3.
Dixon, N. & H.F. Silverman. (2005). The 1976 modular acoustic processor (MAP) : Signal analysis and phonemic segmentation. 1. 9–14. 2 indexed citations
4.
Bahl, L.R., James Baker, Paul S. Cohen, et al.. (2005). Preliminary results on the performance of a system for the automatic recognition of continuous speech. 1. 425–429. 5 indexed citations
7.
Kaneko, T. & N. Dixon. (1983). A hierarchical decision approach to large-vocabulary discrete utterance recognition. IEEE Transactions on Acoustics Speech and Signal Processing. 31(5). 1061–1066. 21 indexed citations
8.
Yu, J. C. & N. Dixon. (1980). Experimental Study of Sound Radiation from a Subsonic Jet in Simulated Motion. AIAA Journal. 18(4). 427–433. 3 indexed citations
9.
Dixon, N. & Thomas Martin. (1979). Automatic Speech and Speaker Recognition. John Wiley & Sons, Inc. eBooks. 17 indexed citations
10.
Dixon, N. & Thomas Martin. (1979). Automatic speech & speaker recognition. IEEE Press eBooks. 2 indexed citations
11.
Yu, Jyh‐Cheng & N. Dixon. (1979). An experimental study of sound radiation from a subsonic jet in simulated motion. 17th Aerospace Sciences Meeting. 1 indexed citations
12.
Dixon, N. & H.F. Silverman. (1977). The 1976 modular acoustic processor(MAP). IEEE Transactions on Acoustics Speech and Signal Processing. 25(5). 367–379. 20 indexed citations
13.
Dixon, N. & H.F. Silverman. (1976). A general language-operated decision implementation system (GLODIS): Its application to continuous-speech segmentation. IEEE Transactions on Acoustics Speech and Signal Processing. 24(2). 137–162. 23 indexed citations
14.
Silverman, H.F. & N. Dixon. (1976). A comparison of several speech-spectra classification methods. IEEE Transactions on Acoustics Speech and Signal Processing. 24(4). 289–295. 34 indexed citations
15.
Silverman, H.F. & N. Dixon. (1974). A parametrically controlled spectral analysis system for speech. IEEE Transactions on Acoustics Speech and Signal Processing. 22(5). 362–381. 34 indexed citations
16.
Tappert, Charles C. & N. Dixon. (1974). A procedure for adaptive control of the interaction between acoustic classification and linguistic decoding in automatic recognition of continuous speech. Artificial Intelligence. 5(2). 95–113. 3 indexed citations
17.
Tappert, Charles C., et al.. (1973). Application of sequential decoding for converting phonetic to graphic representation in automatic recognition of continuous speech(ARCS). IEEE Transactions on Audio and Electroacoustics. 21(3). 225–228. 12 indexed citations
18.
Dixon, N. & Charles C. Tappert. (1970). Toward Objective Phonetic Transcription¿An On-Line Interactive Technique for Machine-Processed Speech Data. 11(4). 202–210. 7 indexed citations
19.
Dixon, N., et al.. (1968). Terminal analog synthesis of continuous speech using the diphone method of segment assembly. IEEE Transactions on Audio and Electroacoustics. 16(1). 40–50. 44 indexed citations
20.
Dixon, N., et al.. (1965). Some Effects of List Familiarity and Synthetic Segment Familiarity on the Intelligibility of PB Words Produced by Diphone Synthesis. The Journal of the Acoustical Society of America. 38(5_Supplement). 941–941. 1 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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