Nina Peterson

16 total papers · 661 total citations
9 papers, 137 citations indexed

About

Nina Peterson is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Nina Peterson has authored 9 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Nina Peterson's work include Energy Efficient Wireless Sensor Networks (7 papers), Context-Aware Activity Recognition Systems (3 papers) and Underwater Vehicles and Communication Systems (2 papers). Nina Peterson is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Context-Aware Activity Recognition Systems (3 papers) and Underwater Vehicles and Communication Systems (2 papers). Nina Peterson collaborates with scholars based in United States. Nina Peterson's co-authors include Behrooz Shirazi, Wen‐Zhan Song, Somak Das, Richard G. LaHusen, Mingsen Xu, Renjie Huang, Yang Peng, Ali R. Hurson, Lei Wang and Aaron Kiely and has published in prestigious 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.

In The Last Decade

Nina Peterson

8 papers receiving 118 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Peterson 93 67 35 15 13 9 137
Pavlos Antoniou 227 2.4× 110 1.6× 17 0.5× 18 1.2× 6 0.5× 10 277
Onur Soysal 194 2.1× 50 0.7× 38 1.1× 10 0.7× 11 0.8× 9 228
David Culler 120 1.3× 44 0.7× 19 0.5× 4 0.3× 8 0.6× 6 145
Aridaman Singh Nandan 255 2.7× 167 2.5× 14 0.4× 12 0.8× 7 0.5× 9 292
Rami Tawil 183 2.0× 161 2.4× 15 0.4× 7 0.5× 3 0.2× 18 214
Changsu Suh 165 1.8× 145 2.2× 40 1.1× 14 0.9× 4 0.3× 6 213
Arrasy Rahman 25 0.3× 92 1.4× 25 0.7× 7 0.5× 39 3.0× 11 173
Zhilbert Tafa 156 1.7× 80 1.2× 10 0.3× 12 0.8× 10 0.8× 14 248
Suresh Borkar 125 1.3× 206 3.1× 8 0.2× 7 0.5× 13 1.0× 7 261
J. Blumenthal 97 1.0× 53 0.8× 22 0.6× 3 0.2× 31 2.4× 8 112

Countries citing papers authored by Nina Peterson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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