Ryan McDonald

15.2k total citations · 8 hit papers
72 papers, 9.0k citations indexed

About

Ryan McDonald is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryan McDonald has authored 72 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 15 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryan McDonald's work include Topic Modeling (59 papers), Natural Language Processing Techniques (52 papers) and Biomedical Text Mining and Ontologies (10 papers). Ryan McDonald is often cited by papers focused on Topic Modeling (59 papers), Natural Language Processing Techniques (52 papers) and Biomedical Text Mining and Ontologies (10 papers). Ryan McDonald collaborates with scholars based in United States, Sweden and United Kingdom. Ryan McDonald's co-authors include Fernando Pereira, Joakim Nivre, Ivan Titov, Slav Petrov, John Blitzer, Koby Crammer, Jan Hajič, Dipanjan Das, Fernando C. N. Pereira and Sandra Kübler and has published in prestigious journals such as Bioinformatics, Fuel and BMC Bioinformatics.

In The Last Decade

Ryan McDonald

71 papers receiving 8.0k citations

Hit Papers

Domain adaptation with structural correspondence learning 2005 2026 2012 2019 2006 2016 2005 2005 2008 250 500 750

Peers

Ryan McDonald
Comparison fields: 5 of 130
  • Artificial Intelligence 8.4k
  • Information Systems 969
  • Molecular Biology 882
  • Computer Vision and Pattern Recognition 817
  • Sociology and Political Science 228
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Citations per field, relative to Ryan McDonald
Ryan McDonald · 1×
Citations per year, relative to Ryan McDonald
Ryan McDonald · 1×

Countries citing papers authored by Ryan McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Ryan McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan McDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan McDonald. A scholar is included among the top collaborators of Ryan McDonald 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 McDonald. Ryan McDonald 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
# Work Indexed citations
1 44
2
Zero-shot Neural Retrieval via Domain-targeted Synthetic Query Generation.
8
3
Universal Dependencies v1: A Multilingual Treebank Collection breakdown →
575
4
Adapting taggers to Twitter with not-so-distant supervision
22
5
Target Language Adaptation of Discriminative Transfer Parsers
65
6 15
7
Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
139
8
Generalized Higher-Order Dependency Parsing with Cube Pruning
34
9
Training dependency parsers by jointly optimizing multiple objectives
20
10
Multi-Source Transfer of Delexicalized Dependency Parsers
182
11
Training a Parser for Machine Translation Reordering
35
12
What's great and what's not: learning to classify the scope of negation for improved sentiment analysis
113
13
Evaluation of Dependency Parsers on Unbounded Dependencies
38
14
The viability of web-derived polarity lexicons
129
15
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
137
16
A Joint Model of Text and Aspect Ratings for Sentiment Summarization breakdown →
411
17
Structured Models for Fine-to-Coarse Sentiment Analysis
176
18
The CoNLL 2007 Shared Task on Dependency Parsing breakdown →
430
19
Characterizing the Errors of Data-Driven Dependency Parsing Models
188
20
Online Learning of Approximate Dependency Parsing Algorithms.
343

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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