Nina Peterson
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Ocean Engineering
- Co-authors
- Behrooz ShiraziWen‐Zhan SongSomak DasRichard G. LaHusenRenjie HuangMingsen XuLei WangAli R. Hurson
- Topics
- Energy Efficient Wireless Sensor Networks (7 papers)Context-Aware Activity Recognition Systems (3 papers)IoT and Edge/Fog Computing (2 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Parallel and Distributed SystemsIEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPervasive and Mobile Computing
- Partner nations
- United States
In The Last Decade
Nina Peterson
8 papers receiving 118 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 92
- Electrical and Electronic Engineering 66
- Computer Vision and Pattern Recognition 35
- Control and Systems Engineering 15
- Ocean Engineering 13
Countries citing papers authored by Nina Peterson
This map shows the geographic impact of Nina Peterson'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 Nina Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Peterson more than expected).
Fields of papers citing papers by Nina Peterson
This network shows the impact of papers produced by Nina Peterson. 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 Nina Peterson. The network helps show where Nina Peterson may publish in the future.
Co-authorship network of co-authors of Nina Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Peterson. A scholar is included among the top collaborators of Nina Peterson 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 Nina Peterson. Nina Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 48 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | Adaptive context modeling and situation awareness for wireless sensor networks | 0 |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 13 |
About Nina Peterson
Nina Peterson is a scholar working on Computer Networks and Communications, Geology and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 136 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Context-Aware Activity Recognition Systems (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Networks and Communications (92 citations), Computer Vision and Pattern Recognition (35 citations) and Electrical and Electronic Engineering (66 citations). Nina Peterson has collaborated with scholars based in United States. Frequent co-authors include Behrooz Shirazi, Wen‐Zhan Song, Somak Das, Richard G. LaHusen, Renjie Huang, Mingsen Xu, Lei Wang, Ali R. Hurson, Yang Peng and Aaron Kiely. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Pervasive and Mobile Computing.
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.