Noah Klugman
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Bluetooth and Wireless Communication Technologies
- Opportunistic and Delay-Tolerant Networks
- Computer Science Applications top 10%
Papers in
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- Smart Grid Energy Management 4
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- Mobile Crowdsensing and Crowdsourcing 6
- Co-authors
- Prabal Dutta (10 shared papers)Joshua Adkins (5 shared papers)Bradford Campbell (2 shared papers)Neal Jackson (2 shared papers)Jay Taneja (7 shared papers)Jesse Dallery (1 shared paper)Andrew Robinson (1 shared paper)Steven E. Meredith (1 shared paper)
- Journals
- Nicotine & Tobacco Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Applied Energy (1 paper)Nature Energy (1 paper)
- Partner nations
- United StatesSwedenTanzania
In The Last Decade
Noah Klugman
16 papers receiving 305 citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 152
- Computer Science Applications 24
- Applied Psychology 19
- Pollution 41
- Energy Engineering and Power Technology 10
Countries citing papers authored by Noah Klugman
This map shows the geographic impact of Noah Klugman'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 Noah Klugman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Klugman more than expected).
Fields of papers citing papers by Noah Klugman
This network shows the impact of papers produced by Noah Klugman. 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 Noah Klugman. The network helps show where Noah Klugman may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Klugman, 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 | 2015 | 159 | |
| 2 | 2014 | 51 | |
| 3 | 2019 | 30 | |
| 4 | 2014 | 12 | |
| 5 | 2022 | 10 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2025 | 4 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2015 | 2 | |
| 16 | 2019 | 2 |
About Noah Klugman
Noah Klugman is a scholar working on Electrical and Electronic Engineering, Computer Science Applications, Computer Networks and Communications, Pollution and Information Systems, having authored 16 papers that have together received 315 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (6 papers), Smart Grid Energy Management (4 papers), Energy and Environment Impacts (3 papers), ICT in Developing Communities (3 papers), Personal Information Management and User Behavior (2 papers), Bluetooth and Wireless Communication Technologies (2 papers), Smart Grid Security and Resilience (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (152 citations), Computer Science Applications (24 citations), Applied Psychology (19 citations), Pollution (41 citations) and Energy Engineering and Power Technology (10 citations). Noah Klugman has collaborated with scholars based in United States, Sweden and Tanzania. Frequent co-authors include Prabal Dutta, Joshua Adkins, Bradford Campbell, Neal Jackson, Jay Taneja, Jesse Dallery, Andrew Robinson, Steven E. Meredith, Catherine Wolfram and Isha Ray. Their work appears in journals such as Nicotine & Tobacco Research, Proceedings of the National Academy of Sciences, Applied Energy and Nature Energy.
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.