Daniel Blanchard

446 citations
8 papers · 251 · h-index 6

Impact in

Papers in

Daniel Blanchard

8 papers receiving 222 citations

Peers

Daniel Blanchard
Comparison fields: 5 of 28
  • Artificial Intelligence 231
  • Developmental and Educational Psychology 44
  • Language and Linguistics 26
  • Experimental and Cognitive Psychology 28
  • Health Informatics 2
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Tim Buckwalter United States
Carlos Ramisch France
Johannes Bjerva Denmark
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Rachele De Felice United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Blanchard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Blanchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Daniel Blanchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Blanchard Line = papers co-authored together Daniel Blanchard links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2013141
2
Native Tongues, Lost and Found: Resources and Empirical Evaluations in Native Language Identification
201254
3 201028
4 201511
5 20089
6 20185
7
TOEFL11: A Corpus of Non-Native English. Research Report. ETS RR-13-24.
20132
8
Automated Scoring for the "TOEFL Junior"® Comprehensive Writing and Speaking Test. Research Report. ETS RR-15-09.
20151

About Daniel Blanchard

Daniel Blanchard is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Information Systems, Language and Linguistics and Infectious Diseases, having authored 8 papers that have together received 251 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Speech and dialogue systems (3 papers), Language Development and Disorders (2 papers), Speech Recognition and Synthesis (2 papers), Second Language Acquisition and Learning (1 paper), Authorship Attribution and Profiling (1 paper), Software Engineering Research (1 paper) and Lexicography and Language Studies (1 paper). The work is most often cited by research in Artificial Intelligence (231 citations), Developmental and Educational Psychology (44 citations), Language and Linguistics (26 citations), Experimental and Cognitive Psychology (28 citations) and Health Informatics (2 citations). Daniel Blanchard has collaborated with scholars based in United States and Austria. Frequent co-authors include Aoife Cahill, Joel Tetreault, Martin Chodorow, Derrick Higgins, Jeffrey Heinz, Roberta Michnick Golinkoff, Xinhao Wang, Keelan Evanini, Michael Heilman and Chee Wee Leong. Their work appears in journals such as Journal of Child Language, ETS Research Report Series and International Conference on Computational Linguistics.

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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