Jeffrey Heinz

3.4k total citations
73 papers, 1.0k citations indexed

About

Jeffrey Heinz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Experimental and Cognitive Psychology. According to data from OpenAlex, Jeffrey Heinz has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Jeffrey Heinz's work include Natural Language Processing Techniques (36 papers), Machine Learning and Algorithms (24 papers) and semigroups and automata theory (17 papers). Jeffrey Heinz is often cited by papers focused on Natural Language Processing Techniques (36 papers), Machine Learning and Algorithms (24 papers) and semigroups and automata theory (17 papers). Jeffrey Heinz collaborates with scholars based in United States, France and Netherlands. Jeffrey Heinz's co-authors include Jane Chandlee, William J. Idsardi, Herbert G. Tanner, Adam Jardine, Daniel Blanchard, Rémi Eyraud, Roberta Michnick Golinkoff, James Rogers, José M. Sempere and Harry van der Hülst and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

Jeffrey Heinz

71 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey Heinz United States 18 745 426 272 138 123 73 1.0k
Edward P. Stabler United States 15 387 0.5× 123 0.3× 153 0.6× 224 1.6× 130 1.1× 73 803
Chilin Shih United States 20 953 1.3× 830 1.9× 19 0.1× 268 1.9× 94 0.8× 75 1.5k
James W. Minett Hong Kong 18 231 0.3× 153 0.4× 12 0.0× 125 0.9× 65 0.5× 43 973
William Schuler United States 19 697 0.9× 60 0.1× 16 0.1× 81 0.6× 239 1.9× 86 1.1k
Yael Gertner United States 11 546 0.7× 28 0.1× 141 0.5× 50 0.4× 297 2.4× 26 858
Bernard Victorri France 13 282 0.4× 136 0.3× 19 0.1× 122 0.9× 5 0.0× 51 704
Remko Scha Netherlands 17 514 0.7× 59 0.1× 14 0.1× 165 1.2× 30 0.2× 45 788
Tony Plate Canada 13 573 0.8× 38 0.1× 57 0.2× 39 0.3× 72 0.6× 18 857
Neville Ryant United States 15 656 0.9× 107 0.3× 8 0.0× 70 0.5× 76 0.6× 27 838
Afsaneh Fazly Canada 13 543 0.7× 66 0.2× 8 0.0× 82 0.6× 182 1.5× 50 728

Countries citing papers authored by Jeffrey Heinz

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Heinz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Heinz

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Heinz. A scholar is included among the top collaborators of Jeffrey Heinz 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 Jeffrey Heinz. Jeffrey Heinz 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.
Heinz, Jeffrey, et al.. (2020). Computing and classifying reduplication with 2-way finite-state transducers. SHILAP Revista de lepidopterología. 8(1). 13 indexed citations
2.
Kokkoni, Elena, et al.. (2020). GEARing smart environments for pediatric motor rehabilitation. Journal of NeuroEngineering and Rehabilitation. 17(1). 16–16. 31 indexed citations
3.
Heinz, Jeffrey, et al.. (2019). Learning reduplication with 2-way finite-state transducers. 67–80. 7 indexed citations
4.
Goedemans, Rob, Jeffrey Heinz, & Harry van der Hülst. (2019). The study of word stress and accent : theories, methods and data. Cambridge University Press eBooks. 11 indexed citations
5.
Heinz, Jeffrey, et al.. (2018). Modeling Reduplication with 2-way Finite-State Transducers. 12 indexed citations
6.
Heinz, Jeffrey, et al.. (2016). Using Model Theory for Grammatical Inference: a Case Study from Phonology. 66–78. 6 indexed citations
7.
Heinz, Jeffrey, et al.. (2016). Predicting Sequential Data with LSTMs Augmented with Strictly 2-Piecewise Input Vectors.. 137–142. 2 indexed citations
8.
Karydis, Konstantinos, et al.. (2016). Resilience through Learning in Multi-Agent Cyber-Physical Systems. Frontiers in Robotics and AI. 3. 3 indexed citations
9.
Heinz, Jeffrey, et al.. (2013). Learning Subregular Classes of Languages with Factored Deterministic Automata. 64–71. 12 indexed citations
10.
Heinz, Jeffrey, et al.. (2013). Vowel Harmony and Subsequentiality. 52–63. 44 indexed citations
11.
Fu, Jie, Herbert G. Tanner, & Jeffrey Heinz. (2013). Adaptive planning in unknown environments using grammatical inference. 5357–5363. 6 indexed citations
12.
Heinz, Jeffrey, Colin de la Higuera, & Menno van Zaanen. (2012). Grammatical inference for computational lingustics. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
13.
Heinz, Jeffrey, et al.. (2012). Learning in the limit with lattice-structured hypothesis spaces. Theoretical Computer Science. 457. 111–127. 16 indexed citations
14.
Chandlee, Jane, et al.. (2012). Integrating Grammatical Inference into Robotic Planning. 69–83. 3 indexed citations
15.
Heinz, Jeffrey, Colin de la Higuera, & Menno van Zaanen. (2011). Formal and Empirical Grammatical Inference. Meeting of the Association for Computational Linguistics. 2–2. 1 indexed citations
16.
Heinz, Jeffrey, et al.. (2011). Tier-based Strictly Local Constraints for Phonology. Meeting of the Association for Computational Linguistics. 58–64. 51 indexed citations
17.
Heinz, Jeffrey, et al.. (2010). Maximum Likelihood Estimation of Feature-Based Distributions. Meeting of the Association for Computational Linguistics. 28–37. 5 indexed citations
18.
Heinz, Jeffrey. (2010). String Extension Learning. Meeting of the Association for Computational Linguistics. 897–906. 28 indexed citations
19.
Heinz, Jeffrey & James Rogers. (2010). Estimating Strictly Piecewise Distributions. Meeting of the Association for Computational Linguistics. 886–896. 17 indexed citations
20.
Heinz, Jeffrey, Lynne Cahill, & Richard Wicentowski. (2010). Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology. Meeting of the Association for Computational Linguistics. 17 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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