D.B. Paul

793 total citations
12 papers, 431 citations indexed

About

D.B. Paul is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, D.B. Paul has authored 12 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in D.B. Paul's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (6 papers) and Natural Language Processing Techniques (5 papers). D.B. Paul is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (6 papers) and Natural Language Processing Techniques (5 papers). D.B. Paul collaborates with scholars based in United States and India. D.B. Paul's co-authors include Richard C. Rose, Edward A. Martin, James K. Baker, Janet M. Baker, Richard P. Lippmann and P. Priyanka and has published in prestigious journals such as IEEE International Conference on Acoustics Speech and Signal Processing and International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

D.B. Paul

11 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D.B. Paul United States	8	394	247	65	16	12	12	431
Roberto Gemello Italy	10	396 1.0×	299 1.2×	42 0.6×	10 0.6×	14 1.2×	50	455
Franco Mana Italy	10	369 0.9×	285 1.2×	40 0.6×	15 0.9×	10 0.8×	41	419
Kofi Boakye United States	8	204 0.5×	148 0.6×	48 0.7×	6 0.4×	9 0.8×	16	259
John Butzberger United States	12	447 1.1×	212 0.9×	49 0.8×	43 2.7×	23 1.9×	16	490
Hainan Xu United States	10	547 1.4×	298 1.2×	46 0.7×	25 1.6×	11 0.9×	22	585
Barry Chen United States	9	244 0.6×	193 0.8×	68 1.0×	16 1.0×	9 0.8×	14	317
Tom Bagby United States	7	359 0.9×	245 1.0×	34 0.5×	10 0.6×	11 0.9×	7	402
Matt Shannon United Kingdom	11	317 0.8×	250 1.0×	26 0.4×	16 1.0×	9 0.8×	13	372
S. Austin United States	7	312 0.8×	159 0.6×	38 0.6×	9 0.6×	2 0.2×	14	340

Countries citing papers authored by D.B. Paul

Since Specialization

Citations

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

Fields of papers citing papers by D.B. Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.B. Paul. 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 D.B. Paul. The network helps show where D.B. Paul may publish in the future.

Co-authorship network of co-authors of D.B. Paul

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Paul, D.B., et al.. (2024). Image Based Spacecraft Health Evaluation by AIML Based Expert System. 32. 896–900.

2.

Paul, D.B.. (2003). The Lincoln robust continuous speech recognizer. International Conference on Acoustics, Speech, and Signal Processing. 449–452. 6 indexed citations

3.

Paul, D.B. & Edward A. Martin. (2003). Speaker stress-resistant continuous speech recognition. 283–286. 10 indexed citations

4.

Martin, Edward A., Richard P. Lippmann, & D.B. Paul. (2003). Dynamic adaptation of Hidden Markov models for robust isolated-word speech recognition. 52–54. 2 indexed citations

5.

Rose, Richard C. & D.B. Paul. (2002). A hidden Markov model based keyword recognition system. International Conference on Acoustics, Speech, and Signal Processing. 129–132. 243 indexed citations

6.

Paul, D.B.. (2002). Extensions to phone-state decision-tree clustering: single tree and tagged clustering. 2. 1487–1490. 13 indexed citations

7.

Paul, D.B.. (2002). New developments in the Lincoln stack-decoder based large-vocabulary CSR system. 1. 45–48. 2 indexed citations

8.

Paul, D.B., et al.. (1993). The Lincoln large-vocabulary stack-decoder HMM CSR. IEEE International Conference on Acoustics Speech and Signal Processing. 660–663 vol.2. 13 indexed citations

9.

Paul, D.B.. (1992). An efficient A* stack decoder algorithm for continuous speech recognition with a stochastic language model. 25–28 vol.1. 53 indexed citations

10.

Paul, D.B.. (1991). The Lincoln tied-mixture HMM continuous speech recognizer. 329–332 vol.1. 28 indexed citations

11.

Paul, D.B.. (1991). Algorithms for an optimal A* search and linearizing the search in the stack decoder. 3. 693–696 vol. 1. 50 indexed citations

12.

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

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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