Ryan M. Roth

1.6k total citations · 1 hit paper
24 papers, 1.0k citations indexed

About

Ryan M. Roth is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ryan M. Roth has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ryan M. Roth's work include Natural Language Processing Techniques (10 papers), Topic Modeling (7 papers) and Photonic and Optical Devices (6 papers). Ryan M. Roth is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (7 papers) and Photonic and Optical Devices (6 papers). Ryan M. Roth collaborates with scholars based in United States, Australia and Germany. Ryan M. Roth's co-authors include Nizar Habash, Owen Rambow, Mona Diab, Ramy Eskander, Manoj Pooleery, Mohamed Al-Badrashiny, Ahmed El Kholy, Richard M. Osgood, Matthew Adams and Nicolae C. Panoiu and has published in prestigious journals such as Applied Physics Letters, Optics Letters and Optics Express.

In The Last Decade

Ryan M. Roth

23 papers receiving 949 citations

Hit Papers

MADAMIRA: A Fast, Comprehensive Tool for Morphological An... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan M. Roth United States 13 696 182 156 142 93 24 1.0k
Stanley Chen United States 12 301 0.4× 143 0.8× 742 4.8× 220 1.5× 45 0.5× 27 1.4k
Heeyoung Lee Japan 19 806 1.2× 372 2.0× 880 5.6× 266 1.9× 64 0.7× 133 1.9k
Mikel L. Forcada Spain 19 959 1.4× 50 0.3× 47 0.3× 35 0.2× 140 1.5× 100 1.2k
Reinhard Köhler Germany 17 375 0.5× 36 0.2× 103 0.7× 165 1.2× 8 0.1× 54 871
Anthony Rousseau France 14 379 0.5× 35 0.2× 169 1.1× 122 0.9× 60 0.6× 39 705
Nisha Yadav India 15 90 0.1× 141 0.8× 151 1.0× 128 0.9× 46 0.5× 42 547
Bradley Hauer Canada 13 207 0.3× 345 1.9× 223 1.4× 44 0.3× 21 0.2× 54 566
Jingye Chen China 18 103 0.1× 238 1.3× 466 3.0× 51 0.4× 255 2.7× 49 788
Ching‐Hui Chen United States 17 113 0.2× 100 0.5× 335 2.1× 36 0.3× 202 2.2× 42 869

Countries citing papers authored by Ryan M. Roth

Since Specialization
Citations

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

Fields of papers citing papers by Ryan M. Roth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan M. Roth. 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 Ryan M. Roth. The network helps show where Ryan M. Roth may publish in the future.

Co-authorship network of co-authors of Ryan M. Roth

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan M. Roth. A scholar is included among the top collaborators of Ryan M. Roth 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 Ryan M. Roth. Ryan M. Roth 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.
Al-Badrashiny, Mohamed, Mona Diab, Ahmed El Kholy, et al.. (2014). MADAMIRA: A Fast, Comprehensive Tool for Morphological Analysis and Disambiguation of Arabic. Language Resources and Evaluation. 1094–1101. 414 indexed citations breakdown →
2.
Tomeh, Nadi, Nizar Habash, Ryan M. Roth, et al.. (2013). Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition. Meeting of the Association for Computational Linguistics. 549–555. 6 indexed citations
3.
Habash, Nizar, et al.. (2013). Automatic Morphological Enrichment of a Morphologically Underspecified Treebank. North American Chapter of the Association for Computational Linguistics. 460–470. 9 indexed citations
4.
Habash, Nizar, Ryan M. Roth, Owen Rambow, Ramy Eskander, & Nadi Tomeh. (2013). Morphological Analysis and Disambiguation for Dialectal Arabic. North American Chapter of the Association for Computational Linguistics. 426–432. 91 indexed citations
5.
Habash, Nizar, et al.. (2013). DIRA: Dialectal Arabic Information Retrieval Assistant. International Joint Conference on Natural Language Processing. 13–16. 6 indexed citations
6.
Belinkov, Yonatan, Nizar Habash, Adam Kilgarriff, et al.. (2013). arTenTen: a new, vast corpus for Arabic. 20–20. 7 indexed citations
7.
Habash, Nizar & Ryan M. Roth. (2011). Identification of Naturally Occurring Numerical Expressions in Arabic.
8.
Habash, Nizar & Ryan M. Roth. (2011). Using Deep Morphology to Improve Automatic Error Detection in Arabic Handwriting Recognition. Meeting of the Association for Computational Linguistics. 875–884. 14 indexed citations
9.
Habash, Nizar & Ryan M. Roth. (2009). CATiB. 221–221. 69 indexed citations
10.
Roth, Ryan M., Owen Rambow, Nizar Habash, Mona Diab, & Cynthia Rudin. (2008). Arabic morphological tagging, diacritization, and lemmatization using lexeme models and feature ranking. Columbia Academic Commons (Columbia University). 117–117. 105 indexed citations
11.
Djukic, Djordje, et al.. (2007). Electro-optically tunable second-harmonic-generation gratings in ion-exfoliated thin films of periodically poled lithium niobate. Applied Physics Letters. 90(17). 31 indexed citations
12.
Roth, Ryan M., Nicolae C. Panoiu, Matthew Adams, Jerry I. Dadap, & Richard M. Osgood. (2007). Polarization-tunable plasmon-enhanced extraordinary transmission through metallic films using asymmetric cruciform apertures. Optics Letters. 32(23). 3414–3414. 23 indexed citations
13.
Djukic, Djordje, Ryan M. Roth, Richard M. Osgood, et al.. (2007). X-ray microbeam probing of elastic strains in patterned He+ implanted single-crystal LiNbO3. Applied Physics Letters. 91(11). 13 indexed citations
14.
Roth, Ryan M., et al.. (2007). Fabrication and material properties of submicrometer SrTiO3 films exfoliated using crystal ion slicing. Applied Physics Letters. 90(11). 8 indexed citations
15.
Djukic, Djordje, Ryan M. Roth, R. B. Laibowitz, et al.. (2006). Fabrication of patterned single-crystal SrTiO3 thin films by ion slicing and anodic bonding. Applied Physics Letters. 89(12). 7 indexed citations
16.
Roth, Ryan M., Djordje Djukic, Richard M. Osgood, et al.. (2006). Compositional and structural changes in LiNbO3 following deep He+ ion implantation for film exfoliation. Applied Physics Letters. 89(11). 39 indexed citations
17.
Roth, Ryan M., et al.. (2006). Plasmon-resonant field enhancement metallic tip-substrate systems. 80. 1–2. 1 indexed citations
18.
Roth, Ryan M., Tomoyuki Izuhara, Richard L. Espinola, et al.. (2005). Integrable wide-free-spectral-range Fabry–Perot optical filters using free-standing LiNbO_3 thin films. Optics Letters. 30(9). 994–994. 10 indexed citations
19.
Djukic, Djordje, Tomoyuki Izuhara, Ryan M. Roth, et al.. (2005). Extremely thin, single-crystal films of LiNbO/sub 3/ fabricated using localized He+ ion-implantation. 229–231 Vol. 1. 1 indexed citations
20.
Izuhara, Tomoyuki, et al.. (2003). Low-voltage tunable TE/TM converter on ion-sliced lithium niobate thin film. Electronics Letters. 39(15). 1118–1119. 13 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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