Forrest Briggs

885 citations
14 papers · 520 · h-index 8

Impact in

Papers in

Forrest Briggs

14 papers receiving 496 citations

Peers

Forrest Briggs
Comparison fields: 5 of 56
  • Developmental Biology 215
  • Signal Processing 228
  • Computer Vision and Pattern Recognition 177
  • Artificial Intelligence 221
  • Ecological Modeling 29
Replace Rafael Álvarez with:
Rafael Álvarez Spain
Lawrence Neal United States
Juan G. Colonna Brazil
Seppo Fagerlund Finland
Hervé Glotin France
Rolf Bardeli Germany
Edgar E. Vallejo Mexico
Yujie Zhong China
Amal Punchihewa New Zealand
Yagya Raj Pandeya South Korea
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Citations per field
00.5×3.2×
Rafael Álvarez · 1×
Citations per year

Countries citing papers authored by Forrest Briggs

Since Specialization
Citations

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

Fields of papers citing papers by Forrest Briggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Forrest Briggs, 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 Forrest Briggs Line = papers co-authored together Forrest Briggs links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012197
2 2012147
3 201160
4 200960
5 201315
6 201410
7 20089
8 20138
9 20135
10 20133
11 20162
12 19602
13 20121
14 19611

About Forrest Briggs

Forrest Briggs is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Developmental Biology and Political Science and International Relations, having authored 14 papers that have together received 520 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Animal Vocal Communication and Behavior (5 papers), Image Retrieval and Classification Techniques (5 papers), Text and Document Classification Technologies (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Video Analysis and Summarization (2 papers), Speech and Audio Processing (2 papers) and Marine animal studies overview (1 paper). The work is most often cited by research in Developmental Biology (215 citations), Signal Processing (228 citations), Computer Vision and Pattern Recognition (177 citations), Artificial Intelligence (221 citations) and Ecological Modeling (29 citations). Forrest Briggs has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Raviv Raich, Xiaoli Z. Fern, Lawrence Neal, Matthew G. Betts, Adam S. Hadley, Balaji Lakshminarayanan, Qi Lou and K. Eftaxias. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, The Library Quarterly, The Journal of the Acoustical Society of America, Knowledge and Information Systems and International Journal of Knowledge-based and Intelligent Engineering Systems.

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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