Gabriel Doyle

2.3k total citations · 2 hit papers
18 papers, 1.6k citations indexed

About

Gabriel Doyle is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Gabriel Doyle has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Developmental and Educational Psychology and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Gabriel Doyle's work include Language Development and Disorders (6 papers), Speech and dialogue systems (5 papers) and Natural Language Processing Techniques (5 papers). Gabriel Doyle is often cited by papers focused on Language Development and Disorders (6 papers), Speech and dialogue systems (5 papers) and Natural Language Processing Techniques (5 papers). Gabriel Doyle collaborates with scholars based in United States, Finland and United Kingdom. Gabriel Doyle's co-authors include Roger Lévy, José Costa Pereira, Emanuele Coviello, Nuno Vasconcelos, Nikhil Rasiwasia, Gert Lanckriet, Michael C. Frank, Charles Elkan, Okko Räsänen and Daniel Yurovsky and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Cognition and Frontiers in Psychology.

In The Last Decade

Gabriel Doyle

17 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new approach to cross-modal multimedia retrieval

2010 948 citations Nikhil Rasiwasia, José Costa Pereira et al. profile →
On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval

2013 323 citations José Costa Pereira, Emanuele Coviello et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gabriel Doyle United States	10	1.2k	587	111	48	44	18	1.6k
Manfred Pinkal Germany	19	563 0.5×	990 1.7×	79 0.7×	78 1.6×	20 0.5×	58	1.5k
Roeland Ordelman Netherlands	14	295 0.3×	499 0.9×	254 2.3×	67 1.4×	16 0.4×	77	798
Mitesh M. Khapra India	19	442 0.4×	1.2k 2.1×	61 0.5×	13 0.3×	57 1.3×	86	1.5k
William B. Dolan United States	17	680 0.6×	2.0k 3.5×	39 0.4×	31 0.6×	33 0.8×	24	2.4k
Anoop Sarkar Canada	22	333 0.3×	1.8k 3.1×	43 0.4×	129 2.7×	8 0.2×	96	2.1k
Alexei Baevski Israel	15	654 0.6×	2.4k 4.1×	572 5.2×	80 1.7×	17 0.4×	26	2.7k
Eric Sven Ristad United States	6	123 0.1×	574 1.0×	98 0.9×	30 0.6×	25 0.6×	22	801
Ruifeng Xu China	14	211 0.2×	563 1.0×	42 0.4×	68 1.4×	19 0.4×	66	833
Jacob Andreas United States	20	878 0.7×	1.3k 2.3×	36 0.3×	14 0.3×	11 0.3×	62	1.7k
Mary P. Harper United States	26	180 0.2×	1.4k 2.4×	272 2.5×	231 4.8×	60 1.4×	107	1.7k

Countries citing papers authored by Gabriel Doyle

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Doyle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Doyle

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

18 of 18 papers shown

1.

Doyle, Gabriel, et al.. (2023). Not Just Iconic: Emoji Interpretation is Shaped by Use. 452–457. 1 indexed citations

2.

Doyle, Gabriel, et al.. (2021). Echoes of L1 Syllable Structure in L2 Phoneme Recognition. Frontiers in Psychology. 12. 515237–515237. 2 indexed citations

3.

Doyle, Gabriel, et al.. (2018). Alignment, Acceptance, and Rejection of Group Identities in Online Political Discourse. 1–8. 3 indexed citations

4.

Räsänen, Okko, Gabriel Doyle, & Michael C. Frank. (2017). Pre-linguistic segmentation of speech into syllable-like units. Cognition. 171. 130–150. 43 indexed citations

5.

Doyle, Gabriel & Roger Lévy. (2016). Data-driven learning of symbolic constraints for a log-linear model in a phonological setting.. International Conference on Computational Linguistics. 2217–2226. 2 indexed citations

6.

Yurovsky, Daniel, Gabriel Doyle, & Michael C. Frank. (2016). Linguistic input is tuned to children's developmental level.. Cognitive Science. 16 indexed citations

7.

Doyle, Gabriel, et al.. (2016). A Robust Framework for Estimating Linguistic Alignment in Twitter Conversations. 637–648. 21 indexed citations

8.

Doyle, Gabriel & Michael C. Frank. (2016). Investigating the Sources of Linguistic Alignment in Conversation. 526–536. 12 indexed citations

9.

Räsänen, Okko, Gabriel Doyle, & Michael C. Frank. (2015). Unsupervised word discovery from speech using automatic segmentation into syllable-like units. 3204–3208. 45 indexed citations

10.

Doyle, Gabriel & Michael C. Frank. (2015). Audience size and contextual effects on information density in Twitter conversations. 19–28. 5 indexed citations

11.

Doyle, Gabriel & Michael C. Frank. (2015). Shared common ground influences information density in microblog texts. 1587–1596. 11 indexed citations

12.

Doyle, Gabriel. (2014). Mapping Dialectal Variation by Querying Social Media. 98–106. 45 indexed citations

13.

Doyle, Gabriel, Klinton Bicknell, & Roger Lévy. (2014). Nonparametric Learning of Phonological Constraints in Optimality Theory. 1094–1103. 7 indexed citations

14.

Pereira, José Costa, Emanuele Coviello, Gabriel Doyle, et al.. (2013). On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(3). 521–535. 323 indexed citations breakdown →

15.

Doyle, Gabriel & Roger Lévy. (2013). Combining multiple information types in Bayesian word segmentation. 117–126. 7 indexed citations

16.

Rasiwasia, Nikhil, José Costa Pereira, Emanuele Coviello, et al.. (2010). A new approach to cross-modal multimedia retrieval. 251–260. 948 indexed citations breakdown →

17.

Doyle, Gabriel & Charles Elkan. (2009). Accounting for burstiness in topic models. 281–288. 69 indexed citations

18.

Doyle, Gabriel & Roger Lévy. (2008). Environment Prototypicality in Syntactic Alternation. Proceedings of the Annual Meeting of the Berkeley Linguistics Society. 34(1). 85–85. 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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