Gerald Penn

6.8k total citations · 4 hit papers
127 papers, 4.5k citations indexed

About

Gerald Penn is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gerald Penn has authored 127 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Artificial Intelligence, 21 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gerald Penn's work include Natural Language Processing Techniques (56 papers), Speech and dialogue systems (34 papers) and Topic Modeling (29 papers). Gerald Penn is often cited by papers focused on Natural Language Processing Techniques (56 papers), Speech and dialogue systems (34 papers) and Topic Modeling (29 papers). Gerald Penn collaborates with scholars based in Canada, United States and United Kingdom. Gerald Penn's co-authors include Abdelrahman Mohamed, Hui Jiang, Ossama Abdel‐Hamid, Dong Yu, Li Deng, Christopher Collins, Sheelagh Carpendale, Carl E. Speicher, Ronald Glaser and Janice K. Kiecolt‐Glaser and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Gastroenterology.

In The Last Decade

Gerald Penn

116 papers receiving 4.1k citations

Hit Papers

Convolutional Neural Ne... 1984 2026 1998 2012 2014 2012 1984 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Penn Canada 23 2.1k 1.2k 925 225 222 127 4.5k
Linlin Shen China 43 1.7k 0.8× 640 0.5× 3.4k 3.7× 482 2.1× 38 0.2× 311 6.8k
Jennifer Dy United States 39 3.3k 1.6× 590 0.5× 1.9k 2.0× 459 2.0× 25 0.1× 209 7.2k
Sándor Szedmák United Kingdom 19 1.4k 0.7× 339 0.3× 1.7k 1.8× 77 0.3× 27 0.1× 65 3.8k
Philip K. Chan United States 44 4.5k 2.1× 1.9k 1.6× 930 1.0× 928 4.1× 32 0.1× 170 8.8k
Vittorio Murino Italy 44 1.8k 0.8× 959 0.8× 5.2k 5.7× 655 2.9× 28 0.1× 380 8.6k
Ye Wang China 38 1.0k 0.5× 1.4k 1.1× 1.3k 1.4× 507 2.3× 14 0.1× 544 6.7k
Jagath C. Rajapakse Singapore 37 1.0k 0.5× 823 0.7× 1.0k 1.1× 171 0.8× 270 1.2× 214 7.7k
Tom Heskes Netherlands 37 1.7k 0.8× 317 0.3× 548 0.6× 260 1.2× 32 0.1× 230 5.9k
Y-Lan Boureau United States 18 1.5k 0.7× 322 0.3× 2.0k 2.2× 154 0.7× 20 0.1× 23 3.9k
Yun Zhang China 40 264 0.1× 1.3k 1.1× 2.7k 2.9× 215 1.0× 77 0.3× 301 5.3k

Countries citing papers authored by Gerald Penn

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Penn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Penn

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Penn. A scholar is included among the top collaborators of Gerald Penn 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 Gerald Penn. Gerald Penn 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.
Penn, Gerald, et al.. (2024). LLM-supertagger: Categorial Grammar Supertagging via Large Language Models. 697–705. 1 indexed citations
4.
Rees, Erin E., et al.. (2021). Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies. Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada. 1–6. 1 indexed citations
5.
Ng, Victoria, et al.. (2020). Temporal Histories of Epidemic Events (THEE): A Case Study in Temporal Annotation for Public Health. Language Resources and Evaluation. 2223–2230. 2 indexed citations
6.
Cheung, Jackie Chi Kit & Gerald Penn. (2013). Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors. Meeting of the Association for Computational Linguistics. 392–401. 4 indexed citations
7.
Penn, Gerald, et al.. (2013). Why Letter Substitution Puzzles are Not Hard to Solve: A Case Study in Entropy and Probabilistic Search-Complexity. 83–92.
8.
Cheung, Jackie Chi Kit & Gerald Penn. (2013). Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain. Meeting of the Association for Computational Linguistics. 1233–1242. 13 indexed citations
9.
Butt, Miriam, et al.. (2012). Proceedings of the EACL 2012 Joint Workshop of LINGVIS & UNCLH. Conference of the European Chapter of the Association for Computational Linguistics. 6 indexed citations
10.
Cheung, Jackie Chi Kit & Gerald Penn. (2012). Unsupervised Detection of Downward-Entailing Operators By Maximizing Classification Certainty. Conference of the European Chapter of the Association for Computational Linguistics. 696–705. 3 indexed citations
11.
Cheung, Jackie Chi Kit & Gerald Penn. (2012). Evaluating Distributional Models of Semantics for Syntactically Invariant Inference. Conference of the European Chapter of the Association for Computational Linguistics. 33–43. 4 indexed citations
12.
Penn, Gerald & Paul Kiparsky. (2012). On Panini and the Generative Capacity of Contextualized Replacement Systems. International Conference on Computational Linguistics. 943–950.
13.
Zhu, Xiaodan, Colin Cherry, & Gerald Penn. (2011). Indexing Spoken Documents with Hierarchical Semantic Structures: Semantic Tree-to-string Alignment Models. NPARC. 509–517. 1 indexed citations
14.
Penn, Gerald, et al.. (2010). An Exact A* Method for Deciphering Letter-Substitution Ciphers. Meeting of the Association for Computational Linguistics. 1040–1047. 17 indexed citations
15.
Krakovna, Victoria, et al.. (2010). A Generalized-Zero-Preserving Method for Compact Encoding of Concept Lattices. Meeting of the Association for Computational Linguistics. 1512–1521. 1 indexed citations
16.
Zhu, Xiaodan, Colin Cherry, & Gerald Penn. (2010). Imposing Hierarchical Browsing Structures onto Spoken Documents. NPARC. 1550–1557. 3 indexed citations
17.
Penn, Gerald, et al.. (2010). Accurate Context-Free Parsing with Combinatory Categorial Grammar. Meeting of the Association for Computational Linguistics. 335–344. 26 indexed citations
18.
Penn, Gerald & Xiaodan Zhu. (2008). A Critical Reassessment of Evaluation Baselines for Speech Summarization. Meeting of the Association for Computational Linguistics. 470–478. 48 indexed citations
19.
Penn, Gerald & Bob Carpenter. (1993). Three sources of disjunction in a typed feature structure-based resolution system. Ellis Horwood eBooks. 21–32. 1 indexed citations
20.
Prakash, Chandra, C. R. Cole, Hari M. Sharma, et al.. (1983). ANGIO-PROLIFERATIVE LESIONS IN A HOMOSEXUAL BOAR WITH FEATURES RESEMBLING KAPOSI'S SARCOMA. PubMed. 1(1). 13–30. 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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