Mitch Campion

553 total citations
13 papers, 357 citations indexed

About

Mitch Campion is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Mitch Campion has authored 13 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 4 papers in Computer Networks and Communications and 3 papers in Aerospace Engineering. Recurrent topics in Mitch Campion's work include Energy Load and Power Forecasting (4 papers), Electric Power System Optimization (4 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Mitch Campion is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Electric Power System Optimization (4 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). Mitch Campion collaborates with scholars based in United States. Mitch Campion's co-authors include Prakash Ranganathan, Saleh Faruque, Arun Sukumaran Nair, Naima Kaabouch, Daisy Flora Selvaraj, Anupam Mukherjee, Jeremy Lin, Hossein Salehfar, Timothy M. Hansen and M. A. Boetel and has published in prestigious journals such as TSpace, Journal of Information Security and Forecasting.

In The Last Decade

Mitch Campion

13 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mitch Campion United States 8 171 143 129 89 50 13 357
Haque Nawaz Pakistan 5 221 1.3× 142 1.0× 87 0.7× 75 0.8× 27 0.5× 16 328
Pradip M. Jawandhiya India 6 163 1.0× 123 0.9× 79 0.6× 48 0.5× 27 0.5× 11 388
Weijia Wang China 9 227 1.3× 151 1.1× 79 0.6× 122 1.4× 54 1.1× 30 355
Torsten Andre Austria 9 305 1.8× 302 2.1× 146 1.1× 148 1.7× 40 0.8× 16 489
Jérôme Henry Canada 6 143 0.8× 220 1.5× 155 1.2× 71 0.8× 18 0.4× 16 370
Gaoqing Shen China 6 147 0.9× 140 1.0× 47 0.4× 75 0.8× 30 0.6× 10 284
Daniel Fernando Pigatto Brazil 9 121 0.7× 117 0.8× 72 0.6× 70 0.8× 37 0.7× 30 254
Zhen Xue China 13 360 2.1× 245 1.7× 286 2.2× 67 0.8× 17 0.3× 23 552
Ebtehal T. Alotaibi Saudi Arabia 5 180 1.1× 115 0.8× 33 0.3× 147 1.7× 38 0.8× 9 295

Countries citing papers authored by Mitch Campion

Since Specialization
Citations

This map shows the geographic impact of Mitch Campion'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 Mitch Campion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Campion more than expected).

Fields of papers citing papers by Mitch Campion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitch Campion. 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 Mitch Campion. The network helps show where Mitch Campion may publish in the future.

Co-authorship network of co-authors of Mitch Campion

This figure shows the co-authorship network connecting the top 25 collaborators of Mitch Campion. A scholar is included among the top collaborators of Mitch Campion 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 Mitch Campion. Mitch Campion is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Campion, Mitch, Hossein Salehfar, & Prakash Ranganathan. (2020). Impact of Electric Vehicles on Residential Power Grid: An Educational Review. 1 indexed citations
2.
Mukherjee, Anupam, Mitch Campion, Hossein Salehfar, et al.. (2018). A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets. Forecasting. 1(1). 26–46. 33 indexed citations
3.
Nair, Arun Sukumaran, et al.. (2018). Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid. 3(1). 40 indexed citations
4.
Campion, Mitch, Prakash Ranganathan, & Saleh Faruque. (2018). A Review and Future Directions of UAV Swarm Communication Architectures. 903–908. 36 indexed citations
5.
Campion, Mitch, Prakash Ranganathan, & Saleh Faruque. (2018). UAV swarm communication and control architectures: a review. TSpace. 7(2). 93–106. 144 indexed citations
6.
Nair, Arun Sukumaran, et al.. (2018). Optimal Operation of Residential EVs using DNN and Clustering based Energy Forecast. 1–6. 13 indexed citations
7.
Campion, Mitch, Prakash Ranganathan, & Saleh Faruque. (2018). Notice of Removal: A Review and Future Directions of UAV Swarm Communication Architectures. 903–908. 56 indexed citations
8.
Campion, Mitch, et al.. (2018). Investigation of Price-Feature Selection Algorithms for the Day-Ahead Electricity Markets. 1. 1–6. 4 indexed citations
9.
Campion, Mitch, et al.. (2018). Two-Stage Load Forecasting for Residual Reduction and Economic Dispatch Using PJM Datasets. 6. 691–695. 5 indexed citations
10.
Campion, Mitch & Prakash Ranganathan. (2017). Identification of critical buses based on betweenness-centrality in a smart grid. 1–5. 7 indexed citations
11.
Campion, Mitch, et al.. (2016). Clustering analytics for streaming smart grid datasets. 17. 1–8. 6 indexed citations
12.
Campion, Mitch, et al.. (2016). Data Compression for Next Generation Phasor Data Concentrators (PDCs) in a Smart Grid. Journal of Information Security. 7(5). 291–296. 5 indexed citations
13.
Campion, Mitch, Laura Cronquist, Michelle Feist, et al.. (2016). Predicting West Nile Virus (WNV) occurrences in North Dakota using data mining techniques. 310–317. 7 indexed citations

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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