Maneesh Singh
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Materials Chemistry
- Civil and Structural Engineering
- Co-authors
- Tore MarkesetHung-Yu TsengJia‐Bin HuangMing–Hsuan YangQi MaoYu-Ding LuHsin-Ying LeeNarendra Ahuja
- Topics
- Structural Integrity and Reliability Analysis (7 papers)Concrete Corrosion and Durability (5 papers)Digital Media Forensic Detection (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMetals and AlloysComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Information TheoryInternational Journal of Computer VisionSpeech Communication
- Partner nations
- NorwayUnited StatesIndia
In The Last Decade
Maneesh Singh
26 papers receiving 592 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 345
- Artificial Intelligence 118
- Mechanical Engineering 110
- Materials Chemistry 64
- Civil and Structural Engineering 59
Countries citing papers authored by Maneesh Singh
This map shows the geographic impact of Maneesh Singh'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 Maneesh Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maneesh Singh more than expected).
Fields of papers citing papers by Maneesh Singh
This network shows the impact of papers produced by Maneesh Singh. 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 Maneesh Singh. The network helps show where Maneesh Singh may publish in the future.
Co-authorship network of co-authors of Maneesh Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Maneesh Singh. A scholar is included among the top collaborators of Maneesh Singh 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 Maneesh Singh. Maneesh Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | DRIT++: Diverse Image-to-Image Translation via Disentangled Representationsbreakdown → | 271 |
| 8 | 4 | |
| 9 | 0 | |
| 10 | SpliceRadar: A Learned Method For Blind Image Forensics | 4 |
| 11 | 32 | |
| 12 | 18 | |
| 13 | Disconnected Manifold Learning for Generative Adversarial Networks | 25 |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 35 | |
| 17 | 9 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 96 |
About Maneesh Singh
Maneesh Singh is a scholar working on Medical Laboratory Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 28 papers that have together received 615 indexed citations. Recurring topics across this work include Structural Integrity and Reliability Analysis (7 papers), Concrete Corrosion and Durability (5 papers) and Digital Media Forensic Detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (345 citations), Metals and Alloys (26 citations) and Computer Graphics and Computer-Aided Design (29 citations). Maneesh Singh has collaborated with scholars based in Norway, United States and India. Frequent co-authors include Tore Markeset, Hung-Yu Tseng, Jia‐Bin Huang, Ming–Hsuan Yang, Qi Mao, Yu-Ding Lu, Hsin-Ying Lee, Narendra Ahuja, Yufei Ye and Abhinav Gupta. Their work appears in journals such as IEEE Transactions on Information Theory, International Journal of Computer Vision and Speech Communication.
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.