Jonathan Graehl

1.4k total citations
6 papers, 898 citations indexed

About

Jonathan Graehl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Jonathan Graehl has authored 6 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jonathan Graehl's work include Natural Language Processing Techniques (5 papers), Handwritten Text Recognition Techniques (3 papers) and Mathematics, Computing, and Information Processing (2 papers). Jonathan Graehl is often cited by papers focused on Natural Language Processing Techniques (5 papers), Handwritten Text Recognition Techniques (3 papers) and Mathematics, Computing, and Information Processing (2 papers). Jonathan Graehl collaborates with scholars based in United States. Jonathan Graehl's co-authors include Kevin Knight, Michel Galley, Steve DeNeefe, Daniel Marcu, Wei Wang, Mark Hopkins, Andreas Maletti, Sujith Ravi, David Chiang and Adam Pauls and has published in prestigious journals such as SIAM Journal on Computing, Computational Linguistics and North American Chapter of the Association for Computational Linguistics.

In The Last Decade

Jonathan Graehl

6 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Graehl United States	6	880	141	70	60	58	6	898
Ulrich Germann United Kingdom	15	659 0.7×	126 0.9×	51 0.7×	12 0.2×	30 0.5×	39	696
Taro Watanabe Japan	19	1.0k 1.1×	168 1.2×	72 1.0×	12 0.2×	70 1.2×	97	1.1k
Nicola Cancedda France	12	592 0.7×	51 0.4×	94 1.3×	19 0.3×	40 0.7×	34	620
Marc Dymetman France	14	637 0.7×	66 0.5×	69 1.0×	40 0.7×	32 0.6×	52	658
AiTi Aw Singapore	11	483 0.5×	53 0.4×	53 0.8×	17 0.3×	43 0.7×	34	514
Adrià de Gispert United Kingdom	16	821 0.9×	80 0.6×	66 0.9×	36 0.6×	45 0.8×	61	841
Vasin Punyakanok United States	10	858 1.0×	56 0.4×	93 1.3×	18 0.3×	85 1.5×	20	902
Markus Dreyer United States	15	523 0.6×	62 0.4×	45 0.6×	13 0.2×	22 0.4×	28	537
Muyun Yang China	11	362 0.4×	77 0.5×	77 1.1×	9 0.1×	17 0.3×	72	422
Jan Daciuk Poland	8	242 0.3×	25 0.2×	24 0.3×	102 1.7×	40 0.7×	16	277

Countries citing papers authored by Jonathan Graehl

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Graehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Graehl

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Graehl. A scholar is included among the top collaborators of Jonathan Graehl 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 Jonathan Graehl. Jonathan Graehl 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:

6 of 6 papers shown

1.

Chiang, David, Jonathan Graehl, Kevin Knight, Adam Pauls, & Sujith Ravi. (2010). Bayesian Inference for Finite-State Transducers. North American Chapter of the Association for Computational Linguistics. 447–455. 15 indexed citations

2.

Maletti, Andreas, Jonathan Graehl, Mark Hopkins, & Kevin Knight. (2009). The Power of Extended Top-Down Tree Transducers. SIAM Journal on Computing. 39(2). 410–430. 48 indexed citations

3.

Graehl, Jonathan, et al.. (2008). Training Tree Transducers. Computational Linguistics. 34(3). 391–427. 63 indexed citations

4.

Galley, Michel, Jonathan Graehl, Kevin Knight, et al.. (2006). Scalable inference and training of context-rich syntactic translation models. Columbia Academic Commons (Columbia University). 961–968. 310 indexed citations

5.

Knight, Kevin & Jonathan Graehl. (1997). Machine transliteration. 128–135. 128 indexed citations

6.

Knight, Kevin & Jonathan Graehl. (1997). Machine transliteration. 128–135. 334 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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