Anup Mohan
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
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- IoT and Edge/Fog Computing
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Video Surveillance and Tracking Methods 6
- Image and Video Quality Assessment 3
- Visual Attention and Saliency Detection 3
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- IoT and Edge/Fog Computing 3
- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 2
- Co-authors
- Yung-Hsiang Lu (9 shared papers)Kent Gauen (5 shared papers)Ahmed S. Kaseb (7 shared papers)Yung-Hsiang Lu (3 shared papers)Haiman Tian (1 shared paper)Yudong Tao (1 shared paper)Mei‐Ling Shyu (1 shared paper)Samira Pouyanfar (1 shared paper)
- Journals
- IEEE Transactions on Cloud Computing (2 papers)IEEE Cloud Computing (1 paper)Concurrency and Computation Practice and Experience (1 paper)Purdue e-Pubs (Purdue University) (1 paper)
- Partner nations
- United StatesEgyptCanada
In The Last Decade
Anup Mohan
16 papers receiving 305 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 134
- Computer Networks and Communications 92
- Artificial Intelligence 98
- Information Systems 64
- Hardware and Architecture 13
Countries citing papers authored by Anup Mohan
This map shows the geographic impact of Anup Mohan'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 Anup Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Mohan more than expected).
Fields of papers citing papers by Anup Mohan
This network shows the impact of papers produced by Anup Mohan. 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 Anup Mohan. The network helps show where Anup Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup Mohan, 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 | 2018 | 110 | |
| 2 | Agile Cold Starts for Scalable Serverless | 2019 | 48 |
| 3 | 2017 | 40 | |
| 4 | 2017 | 37 | |
| 5 | 2014 | 20 | |
| 6 | 2015 | 12 | |
| 7 | 2018 | 11 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2013 | 2 | |
| 15 | 2014 | 1 | |
| 16 | Cloud Resource Management for Big Visual Data Analysis from Globally Distributed Network Cameras | 2017 | 1 |
About Anup Mohan
Anup Mohan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Information Systems and Management and Urban Studies, having authored 16 papers that have together received 315 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Video Surveillance and Tracking Methods (6 papers), Image and Video Quality Assessment (3 papers), Visual Attention and Saliency Detection (3 papers), IoT and Edge/Fog Computing (3 papers), Cloud Computing and Resource Management (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Computer Networks and Communications (92 citations), Artificial Intelligence (98 citations), Information Systems (64 citations) and Hardware and Architecture (13 citations). Anup Mohan has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include Yung-Hsiang Lu, Kent Gauen, Ahmed S. Kaseb, Yung-Hsiang Lu, Haiman Tian, Yudong Tao, Mei‐Ling Shyu, Samira Pouyanfar, Shu‐Ching Chen and Wei Wayne Li. Their work appears in journals such as IEEE Transactions on Cloud Computing, IEEE Cloud Computing, Concurrency and Computation Practice and Experience and Purdue e-Pubs (Purdue 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.