John F. Pitrelli

1.9k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

John F. Pitrelli is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, John F. Pitrelli has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in John F. Pitrelli's work include Natural Language Processing Techniques (15 papers), Speech and dialogue systems (11 papers) and Speech Recognition and Synthesis (11 papers). John F. Pitrelli is often cited by papers focused on Natural Language Processing Techniques (15 papers), Speech and dialogue systems (11 papers) and Speech Recognition and Synthesis (11 papers). John F. Pitrelli collaborates with scholars based in United States. John F. Pitrelli's co-authors include Julia Hirschberg, Mary E. Beckman, Kim Silverman, Colin W. Wightman, Patti Price, Janet B. Pierrehumbert, Ellen Eide, Wael Hamza, R. Bakis and Michael Picheny and has published in prestigious journals such as Scientific American, IEEE Transactions on Audio Speech and Language Processing and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

John F. Pitrelli

28 papers receiving 950 citations

Hit Papers

TOBI: a standard for labeling English prosody 1992 2026 2003 2014 1992 200 400 600
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. TOBI: a standard for labeling English prosody
    1992 600 citations Kim Silverman, Mary E. Beckman et al. profile →

Peers

John F. Pitrelli
Florian Schiel Germany
Martine Adda‐Decker France
Rolf Carlson Sweden
Kim Silverman United States
Morgan Sonderegger Canada
Chilin Shih United States
Bernd Möbius Germany
P. Price United States
Keelan Evanini United States
Dafydd Gibbon Germany
Florian Schiel Germany
John F. Pitrelli
Citations per year, relative to John F. Pitrelli John F. Pitrelli (= 1×) peers Florian Schiel

Countries citing papers authored by John F. Pitrelli

Since Specialization
Citations

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

Fields of papers citing papers by John F. Pitrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Pitrelli. 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 John F. Pitrelli. The network helps show where John F. Pitrelli may publish in the future.

Co-authorship network of co-authors of John F. Pitrelli

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Pitrelli. A scholar is included among the top collaborators of John F. Pitrelli 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 John F. Pitrelli. John F. Pitrelli 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.
Florian, Radu, John F. Pitrelli, Salim Roukos, & Imed Zitouni. (2010). Improving Mention Detection Robustness to Noisy Input. Empirical Methods in Natural Language Processing. 335–345. 20 indexed citations
2.
Luo, Xiaoqiang, et al.. (2010). Using Bagging and Boosting Techniques for Improving Coreference Resolution. 34(1). 111–118. 7 indexed citations
3.
Luo, Xiaoqiang, et al.. (2009). Classifier combination techniques applied to coreference resolution. 1–6. 9 indexed citations
4.
5.
Pitrelli, John F., J. Subrahmonia, & Michael Perrone. (2006). Confidence modeling for handwriting recognition: algorithms and applications. International Journal on Document Analysis and Recognition (IJDAR). 8(1). 35–46. 7 indexed citations
6.
Pitrelli, John F., R. Bakis, Ellen Eide, et al.. (2006). The IBM expressive text-to-speech synthesis system for American English. IEEE Transactions on Audio Speech and Language Processing. 14(4). 1099–1108. 84 indexed citations
7.
Eide, Ellen, et al.. (2005). Conversational Computers. Scientific American. 292(6). 64–69. 7 indexed citations
8.
9.
Eide, Ellen, et al.. (2004). A corpus-based approach to expressive speech synthesis.. SSW. 79–84. 49 indexed citations
10.
Pitrelli, John F.. (2004). ToBI prosodic analysis of a professional speaker of American English. 557–560. 4 indexed citations
11.
Pitrelli, John F., et al.. (2004). QUANTIFYING THE CONTRIBUTION OF LANGUAGE MODELING TO WRITERINDEPENDENT ONLINE HANDWRITING RECOGNITION. Data Archiving and Networked Services (DANS). 1 indexed citations
12.
Pitrelli, John F. & Michael Perrone. (2003). Confidence modeling for verification post-processing for handwriting recognition. 30–35. 12 indexed citations
13.
Pitrelli, John F., et al.. (2003). Creating word-level language models for large-vocabulary handwriting recognition. International Journal on Document Analysis and Recognition (IJDAR). 5(2-3). 126–137. 6 indexed citations
14.
Pitrelli, John F., et al.. (2002). Creating word-level language models for handwriting recognition. 721–725. 2 indexed citations
15.
Pitrelli, John F., J. Subrahmonia, & B. Maison. (2002). Toward island-of-reliability-driven very-large-vocabulary on-line handwriting recognition using character confidence scoring. 3. 1525–1528. 7 indexed citations
16.
Basson, Sara, et al.. (2002). User participation and compliance in speech automated telecommunications applications. 3. 1680–1683. 3 indexed citations
17.
Pitrelli, John F., Mary E. Beckman, & Julia Hirschberg. (1994). Evaluation of prosodic transcription labeling reliability in the tobi framework. 123–126. 207 indexed citations
18.
Silverman, Kim, Mary E. Beckman, John F. Pitrelli, et al.. (1992). TOBI: a standard for labeling English prosody. 867–870. 600 indexed citations breakdown →
19.
Silverman, Kim, et al.. (1992). A prosodic comparison of spontaneous speech and read speech. 1299–1302. 11 indexed citations
20.
Silverman, Kim, et al.. (1992). Towards using prosody in speech recognition/understanding systems. 435–435. 6 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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