Saumay Pushp
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
- Caching and Content Delivery
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- Advanced Neural Network Applications
Papers in
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- Opportunistic and Delay-Tolerant Networks 5
- Peer-to-Peer Network Technologies 3
- Caching and Content Delivery 3
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- Green IT and Sustainability 4
- Co-authors
- Mengwei Xu (4 shared papers)Xuanzhe Liu (2 shared papers)Yunxin Liu (4 shared papers)Feng Qian (2 shared papers)Junehwa Song (10 shared papers)Feifan Huang (1 shared paper)Yun Ma (1 shared paper)Gang Huang (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2 papers)IEEE Transactions on Mobile Computing (2 papers)Advances in intelligent systems and computing (1 paper)Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (1 paper)2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama) (1 paper)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Saumay Pushp
19 papers receiving 330 citations
Peers
Comparison fields: 5 of 53
- Computer Networks and Communications 146
- Computer Vision and Pattern Recognition 97
- Human-Computer Interaction 23
- Computer Science Applications 22
- Artificial Intelligence 106
Countries citing papers authored by Saumay Pushp
This map shows the geographic impact of Saumay Pushp'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 Saumay Pushp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saumay Pushp more than expected).
Fields of papers citing papers by Saumay Pushp
This network shows the impact of papers produced by Saumay Pushp. 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 Saumay Pushp. The network helps show where Saumay Pushp may publish in the future.
Co-authors
The 25 scholars most cited alongside Saumay Pushp, 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 | 2019 | 99 | |
| 2 | 2019 | 87 | |
| 3 | 2017 | 68 | |
| 4 | 2017 | 31 | |
| 5 | Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones. | 2017 | 15 |
| 6 | 2014 | 8 | |
| 7 | 2012 | 6 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2016 | 2 | |
| 12 | 2014 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2012 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2012 | 1 |
About Saumay Pushp
Saumay Pushp is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Information Systems and Management, having authored 19 papers that have together received 337 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (5 papers), Green IT and Sustainability (4 papers), Peer-to-Peer Network Technologies (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Personal Information Management and User Behavior (3 papers), Caching and Content Delivery (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Computer Networks and Communications (146 citations), Computer Vision and Pattern Recognition (97 citations), Human-Computer Interaction (23 citations), Computer Science Applications (22 citations) and Artificial Intelligence (106 citations). Saumay Pushp has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Mengwei Xu, Xuanzhe Liu, Yunxin Liu, Feng Qian, Junehwa Song, Feifan Huang, Yun Ma, Gang Huang, Felix Xiaozhu Lin and Youngki Lee. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Mobile Computing, Advances in intelligent systems and computing, Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering and 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama).
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.