Forrest Iandola

17 papers and 1.2k indexed citations i.

About

Forrest Iandola is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Forrest Iandola has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Hardware and Architecture. Recurrent topics in Forrest Iandola’s work include Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Forrest Iandola is often cited by papers focused on Advanced Neural Network Applications (7 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Forrest Iandola collaborates with scholars based in United States, Switzerland and Germany. Forrest Iandola's co-authors include Hao Fang, Margaret Mitchell, Li Deng, Xiaodong He, John Platt, C. Lawrence Zitnick, Rupesh K. Srivastava, Jianfeng Gao, Piotr Dollár and Geoffrey Zweig and has published in prestigious journals such as eScholarship (California Digital Library), CiteSeer X (The Pennsylvania State University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Forrest Iandola i

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.

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).

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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2025