Bob Coyne

621 total citations
22 papers, 340 citations indexed

About

Bob Coyne is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Bob Coyne has authored 22 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Control and Systems Engineering. Recurrent topics in Bob Coyne's work include Natural Language Processing Techniques (10 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (5 papers). Bob Coyne is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (5 papers). Bob Coyne collaborates with scholars based in United States and United Kingdom. Bob Coyne's co-authors include Richard Sproat, Owen Rambow, Masoud Rouhizadeh, Julia Hirschberg, Thomas J. Paulus, T. W. Raudorf, Yun Wei, Anusha Balakrishnan, Wei Xu and Mona Diab and has published in prestigious journals such as IEEE Transactions on Nuclear Science, Language Resources and Evaluation and International Journal of Paediatric Dentistry.

In The Last Decade

Bob Coyne

18 papers receiving 300 citations

Peers

Bob Coyne
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 187
  • Artificial Intelligence 185
  • Control and Systems Engineering 87
  • Computer Graphics and Computer-Aided Design 25
  • Computer Networks and Communications 21
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Yanze Wu China
Marc Christie France
Tobias Hinz Germany
Babak Saleh United States
Yong-Goo Shin South Korea
Svebor Karaman United States
Liang Chang China
Chenfei Wu China
Yael Vinker Israel
Matej Perše Slovenia
Yanze Wu China View profile →
Citations per field, relative to Bob Coyne
Bob Coyne · 1×
Citations per year, relative to Bob Coyne
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Countries citing papers authored by Bob Coyne

Since Specialization
Citations

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

Fields of papers citing papers by Bob Coyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bob Coyne

This figure shows the co-authorship network connecting the top 25 collaborators of Bob Coyne. A scholar is included among the top collaborators of Bob Coyne 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 Bob Coyne. Bob Coyne 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
4
2
Evaluating the WordsEye Text-to-Scene System: Imaginative and Realistic Sentences
2
3 2
4 6
5 13
6 1
7 16
8
The Flaming Lips - The Soft Bulletin
1
9
Belle and Sebastian - The Boy With The Arab Strap
0
10 4
11 4
12
Outkast - Hey Ya!
1
13
The Avalanches - Since I Left You
0
14
Modest Mouse - The Moon and Antarctica
0
15
Radiohead - Hail To The Thief
1
16 15
17 12
18 2
19 10
20 236

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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