Paden Tomasello

485 citations
10 papers · 153 indexed · h-index 5
Topics
Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Speech Recognition and Synthesis (6 papers)
Journals
Transactions of the Association for Computational LinguisticsInterspeech 2022SPIRE - Sciences Po Institutional REpository

In The Last Decade

Paden Tomasello

9 papers receiving 142 citations

Peers

Paden Tomasello
Comparison fields: 5 of 32
  • Artificial Intelligence 140
  • Signal Processing 49
  • Computer Vision and Pattern Recognition 22
  • Experimental and Cognitive Psychology 11
  • Cognitive Neuroscience 5
Replace Tatiana Likhomanenko with:
Tatiana Likhomanenko United States
Julián Salazar United States
Yichong Leng China
Ziyang Ma China
Arun Babu India
Patrick von Platen Germany
David Gaddy United States
Galen Chuang United States
Ondřej Klejch United Kingdom
Christophe Cerisara France
Paden Tomasello relative to Tatiana Likhomanenko United States Tatiana Likhomanenko's profile →
Citations per field
00.5×1.5×
Tatiana Likhomanenko · 1×
Citations per year

Countries citing papers authored by Paden Tomasello

Since Specialization
Citations

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

Fields of papers citing papers by Paden Tomasello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paden Tomasello

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 20
2 4
3 12
4 2
5 9
6 0
7 2
8 17
9 4
10 83

About Paden Tomasello

Paden Tomasello is a scholar working on Signal Processing, Artificial Intelligence and Infectious Diseases, having authored 10 papers that have together received 153 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Signal Processing (49 citations), Artificial Intelligence (140 citations) and Computer Vision and Pattern Recognition (22 citations). Paden Tomasello has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Gabriel Synnaeve, Alexei Baevski, Tatiana Likhomanenko, Alexis Conneau, Qiantong Xu, Ronan Collobert, Michael Auli, Wei-Ning Hsu, Jade Copet and Yossi Adi. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Interspeech 2022 and SPIRE - Sciences Po Institutional REpository.

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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