James K. Baker

1.2k total citations
12 papers, 612 citations indexed

About

James K. Baker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, James K. Baker has authored 12 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in James K. Baker's work include Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (5 papers). James K. Baker is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (5 papers). James K. Baker collaborates with scholars based in United States, Türkiye and Canada. James K. Baker's co-authors include R. L. Mercer, L.R. Bahl, F. Jelinek, Martin L. Morton, Robert C. Lasiewski, E. Ables, Richard C. Banks, Janet M. Baker, Christopher White and Sanjeev Khudanpur and has published in prestigious journals such as The Journal of the Acoustical Society of America, Ornithological Applications and Journal of Combinatorial Theory.

In The Last Decade

James K. Baker

11 papers receiving 529 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James K. Baker United States 6 477 60 59 58 38 12 612
Luh Yen Belgium 10 203 0.4× 30 0.5× 85 1.4× 80 1.4× 52 1.4× 12 470
Mikio L. Braun Germany 9 314 0.7× 95 1.6× 86 1.5× 130 2.2× 33 0.9× 16 597
Sylvie Ranwez France 9 212 0.4× 19 0.3× 223 3.8× 38 0.7× 83 2.2× 21 450
Qiuchi Li China 15 1.0k 2.1× 37 0.6× 56 0.9× 154 2.7× 80 2.1× 42 1.2k
Wonil Chang South Korea 9 101 0.2× 29 0.5× 59 1.0× 36 0.6× 17 0.4× 21 313
Katja Markert United Kingdom 21 940 2.0× 18 0.3× 41 0.7× 149 2.6× 107 2.8× 57 1.2k
Boris Ryabko Russia 14 306 0.6× 43 0.7× 82 1.4× 165 2.8× 22 0.6× 95 651
Chayant Tantipathananandh United States 7 102 0.2× 35 0.6× 52 0.9× 117 2.0× 55 1.4× 8 516
Aleksandar Bojchevski Germany 11 387 0.8× 12 0.2× 68 1.2× 93 1.6× 69 1.8× 17 486
Andrea Setzer United Kingdom 10 750 1.6× 95 1.6× 254 4.3× 29 0.5× 76 2.0× 14 879

Countries citing papers authored by James K. Baker

Since Specialization
Citations

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

Fields of papers citing papers by James K. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James K. Baker. 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 James K. Baker. The network helps show where James K. Baker may publish in the future.

Co-authorship network of co-authors of James K. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of James K. Baker. A scholar is included among the top collaborators of James K. Baker 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 James K. Baker. James K. Baker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
White, Christopher, Abhinav Sethy, Bhuvana Ramabhadran, et al.. (2009). Unsupervised pronunciation validation. 4301–4304.
2.
White, Christopher, Sanjeev Khudanpur, & James K. Baker. (2008). An investigation of acoustic models for multilingual code-switching. 2691–2694. 16 indexed citations
3.
Paul, D.B., James K. Baker, & Janet M. Baker. (1991). On the interaction between true source, training, and testing language models. 569–572 vol.1. 11 indexed citations
4.
Paul, Douglas B., James K. Baker, & Janet M. Baker. (1990). On the interaction between true source, training, and testing language models. 185–189. 1 indexed citations
5.
Baker, Janet M. & James K. Baker. (1989). Dragon. 143–143. 1 indexed citations
6.
Baker, James K. & Janet M. Baker. (1987). Large vocabulary natural language speech recognition in software.. 2440. 1 indexed citations
7.
Baker, James K.. (1979). Trainable grammars for speech recognition. The Journal of the Acoustical Society of America. 65(S1). S132–S132. 312 indexed citations
8.
Jelinek, F., R. L. Mercer, L.R. Bahl, & James K. Baker. (1977). Perplexity—a measure of the difficulty of speech recognition tasks. The Journal of the Acoustical Society of America. 62(S1). S63–S63. 196 indexed citations
9.
Baker, James K.. (1975). Stochastic modeling as a means of automatic speech recognition.. CERN Bulletin. 29 indexed citations
10.
Baker, Janet M., James K. Baker, & Jerome Y. Lettvin. (1972). More Visible Speech. The Journal of the Acoustical Society of America. 52(1A_Supplement). 183–183. 2 indexed citations
11.
Baker, James K.. (1970). A combinatorial proof of Tucker's lemma for the n-cube. Journal of Combinatorial Theory. 8(3). 279–290. 3 indexed citations
12.
Lasiewski, Robert C., et al.. (1962). From Field and Study. Ornithological Applications. 64(4). 324–329. 40 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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