Doug Downey

5.1k total citations · 2 hit papers
72 papers, 2.4k citations indexed

About

Doug Downey is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Doug Downey has authored 72 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 16 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Doug Downey's work include Topic Modeling (45 papers), Natural Language Processing Techniques (37 papers) and Web Data Mining and Analysis (11 papers). Doug Downey is often cited by papers focused on Topic Modeling (45 papers), Natural Language Processing Techniques (37 papers) and Web Data Mining and Analysis (11 papers). Doug Downey collaborates with scholars based in United States, China and Israel. Doug Downey's co-authors include Oren Etzioni, Stephen Soderland, Michael Cafarella, Daniel S. Weld, Alexander Yates, Ana-Maria Popescu, Tal Shaked, Eric Horvitz, Susan Dumais and Stanley Kok and has published in prestigious journals such as Communications of the ACM, Journal of Applied Mechanics and Artificial Intelligence.

In The Last Decade

Doug Downey

68 papers receiving 2.2k citations

Hit Papers

Unsupervised named-entity extraction from the Web: An exp... 2004 2026 2011 2018 2005 2004 200 400 600

Peers

Doug Downey
Comparison fields: 5 of 99
  • Artificial Intelligence 1.8k
  • Information Systems 967
  • Management Science and Operations Research 308
  • Molecular Biology 196
  • Computer Networks and Communications 194
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Citations per field, relative to Doug Downey
Doug Downey · 1×
Citations per year, relative to Doug Downey
Doug Downey · 1×

Countries citing papers authored by Doug Downey

Since Specialization
Citations

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

Fields of papers citing papers by Doug Downey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doug Downey

This figure shows the co-authorship network connecting the top 25 collaborators of Doug Downey. A scholar is included among the top collaborators of Doug Downey 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 Doug Downey. Doug Downey 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 0
2 6
3 1
4 2
5 2
6 19
7 3
8 5
9 14
10 2
11 3
12
CODE: Compiler-based Neuron-aware Ensemble training
1
13
G-DAUG: Generative Data Augmentation for Commonsense Reasoning
5
14 83
15
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
13
16
Locating complex named entities in web text
96
17
Models of searching and browsing: languages, studies, and applications
72
18
Methods for domain-independent information extraction from the web: an experimental comparison
73
19
Learning Text Patterns for Web Information Extraction and Assessment (Extended Version)
2
20
Learning text patterns for web information extraction and assessment
26

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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