Fahim Mannan
Impact in
- Acoustics and Ultrasonics top 10%
- Instrumentation top 10%
- Advanced Optical Sensing Technologies
Papers in
-
- Advanced Neural Network Applications 6
- Advanced Vision and Imaging 4
- Optical measurement and interference techniques 3
- Image Enhancement Techniques 3
-
- Advanced Optical Sensing Technologies 5
- Co-authors
- Felix Heide (11 shared papers)Michael Langer (4 shared papers)Jean‐François Lalonde (3 shared papers)Ethan Tseng (3 shared papers)Derek Nowrouzezahrai (3 shared papers)Avinash Sharma (2 shared papers)Ali Mosleh (2 shared papers)Werner Ritter (2 shared papers)
- Journals
- ACM Transactions on Graphics (2 papers)Journal of the Optical Society of America A (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Fahim Mannan
16 papers receiving 344 citations
Peers
Comparison fields: 5 of 54
- Acoustics and Ultrasonics 20
- Instrumentation 65
- Media Technology 83
- Computer Vision and Pattern Recognition 190
- Biophysics 21
Countries citing papers authored by Fahim Mannan
This map shows the geographic impact of Fahim Mannan'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 Fahim Mannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahim Mannan more than expected).
Fields of papers citing papers by Fahim Mannan
This network shows the impact of papers produced by Fahim Mannan. 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 Fahim Mannan. The network helps show where Fahim Mannan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fahim Mannan, 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 | 2020 | 95 | |
| 2 | 2021 | 72 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 33 | |
| 5 | 2021 | 32 | |
| 6 | Seeing Through Fog Without Seeing Fog: Deep Sensor Fusion in the Absence of Labeled Training Data. | 2019 | 19 |
| 7 | 2016 | 13 | |
| 8 | 2012 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | Pix2Scene: Learning Implicit 3D Representations from Images | 2018 | 4 |
| 16 | 2024 | 1 |
About Fahim Mannan
Fahim Mannan is a scholar working on Computer Vision and Pattern Recognition, Instrumentation, Media Technology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Optical Sensing Technologies (5 papers), Image Processing Techniques and Applications (5 papers), Advanced Vision and Imaging (4 papers), Optical measurement and interference techniques (3 papers), Image Enhancement Techniques (3 papers), Industrial Vision Systems and Defect Detection (3 papers) and Digital Holography and Microscopy (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (20 citations), Instrumentation (65 citations), Media Technology (83 citations), Computer Vision and Pattern Recognition (190 citations) and Biophysics (21 citations). Fahim Mannan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Felix Heide, Michael Langer, Jean‐François Lalonde, Ethan Tseng, Derek Nowrouzezahrai, Avinash Sharma, Ali Mosleh, Werner Ritter, Klaus Dietmayer and Florian Kraus. Their work appears in journals such as ACM Transactions on Graphics, Journal of the Optical Society of America A, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).
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.