Forrest Iandola

10.7k citations
19 papers · 1.4k indexed · 2 hit papers · h-index 9
Topics
Advanced Neural Network Applications (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)Music and Audio Processing (5 papers)
Journals
Infoscience (Ecole Polytechnique Fédérale de Lausanne)arXiv (Cornell University)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

In The Last Decade

Forrest Iandola

17 papers receiving 1.3k citations

Hit Papers

From captions to visual concepts and back201520262018202220152024250500750

Peers

Forrest Iandola
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 1.2k
  • Artificial Intelligence 542
  • Aerospace Engineering 73
  • Media Technology 50
  • Electrical and Electronic Engineering 45
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Rémi Cadène France
Congyan Lang China
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You He China
Forrest Iandola relative to Fengwei Yu China Fengwei Yu's profile →
Citations per field
00.5×50×100×150×179×
Fengwei Yu · 1×
Citations per year

Countries citing papers authored by Forrest Iandola

Since Specialization
Citations

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

Fields of papers citing papers by Forrest Iandola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Forrest Iandola

This figure shows the co-authorship network connecting the top 25 collaborators of Forrest Iandola. A scholar is included among the top collaborators of Forrest Iandola 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 Forrest Iandola. Forrest Iandola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 1
3 3
4
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anythingbreakdown →
74
5 0
6 1
7 1
8 1
9 26
10 32
11 2
12 253
13 9
14 1
15
From captions to visual concepts and backbreakdown →
774
16 15
17 137
18 30
19
Real-time capacity of networked data fusion
0

About Forrest Iandola

Forrest Iandola is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (542 citations) and Media Technology (50 citations). Forrest Iandola has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Trevor Darrell, Saurabh Gupta, John Platt, Xiaodong He, Margaret Mitchell, Li Deng, Hao Fang, Piotr Dollár, C. Lawrence Zitnick and Rupesh K. Srivastava. Their work appears in journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), arXiv (Cornell University) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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