Arjuna Flenner
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- Medical Image Segmentation Techniques 4
- Image Retrieval and Classification Techniques 4
- Digital Media Forensic Detection 3
- Image and Signal Denoising Methods 2
- Generative Adversarial Networks and Image Synthesis 2
- Media Technology top 10%
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- Topological and Geometric Data Analysis 4
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- Complex Network Analysis Techniques 2
- Artificial Intelligence top 10%
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Andrea L. BertozziLakshmanan NatarajTajuddin Manhar MohammedAmit K. Roy–ChowdhuryB.S. ManjunathShivkumar ChandrasekaranJawadul H. BappyAllon G. Percus
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputational Theory and Mathematics
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of the Association for Information Systems (1 paper)SIAM Review (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Arjuna Flenner
19 papers receiving 419 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 254
- Media Technology 52
- Computational Theory and Mathematics 74
- Statistical and Nonlinear Physics 49
- Artificial Intelligence 121
Countries citing papers authored by Arjuna Flenner
This map shows the geographic impact of Arjuna Flenner'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 Arjuna Flenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjuna Flenner more than expected).
Fields of papers citing papers by Arjuna Flenner
This network shows the impact of papers produced by Arjuna Flenner. 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 Arjuna Flenner. The network helps show where Arjuna Flenner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arjuna Flenner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2019 | 4 | |
| 3 | 2019 | 3 | |
| 4 | 2019 | 1 | |
| 5 | 2019 | 1 | |
| 6 | 2019 | 170 | |
| 7 | 2018 | 13 | |
| 8 | 2018 | 0 | |
| 9 | 2017 | 13 | |
| 10 | 2016 | 36 | |
| 11 | 2014 | 2 | |
| 12 | 2014 | 30 | |
| 13 | 2014 | 71 | |
| 14 | A Novel Business Intelligence Technique to Improve High Performance within an Organization Applying Insights from Hydrogeological Case | 2013 | 1 |
| 15 | 2012 | 4 | |
| 16 | 2012 | 1 | |
| 17 | 2012 | 85 | |
| 18 | 2011 | 9 | |
| 19 | 2008 | 2 | |
| 20 | 2006 | 1 |
About Arjuna Flenner
Arjuna Flenner is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 20 papers that have together received 448 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Image Retrieval and Classification Techniques (4 papers), Topological and Geometric Data Analysis (4 papers), Digital Media Forensic Detection (3 papers), Image and Signal Denoising Methods (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Complex Network Analysis Techniques (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Media Technology (52 citations) and Computational Theory and Mathematics (74 citations). Arjuna Flenner has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Andrea L. Bertozzi, Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Amit K. Roy–Chowdhury, B.S. Manjunath, Shivkumar Chandrasekaran, Jawadul H. Bappy, Allon G. Percus, Cristina García–Cardona and Ekaterina Merkurjev. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of the Association for Information Systems and SIAM Review.
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.