Tom Key

21 papers receiving 410 citations

Peers

Tom Key
Comparison fields: 5 of 65
  • Ecological Modeling 54
  • Environmental Engineering 131
  • Ecology 167
  • Control and Systems Engineering 138
  • Energy Engineering and Power Technology 13
Replace C. S. Jha with:
C. S. Jha India
Rodrigo Pereira Brazil
Pierre‐Julien Trombe Denmark
Zelin Liu China
Jianchen Liu China
Sebastian Achilles Germany
Amarasingam Narmilan Sri Lanka
Matthew Armstrong United Kingdom
Daniel Haziza France
Tom Key relative to C. S. Jha India C. S. Jha's profile →
Citations per field
00.5×2×3×3.9×
C. S. Jha · 1×
Citations per year

Countries citing papers authored by Tom Key

Since Specialization
Citations

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

Fields of papers citing papers by Tom Key

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Key, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Key Line = papers co-authored together Tom Key links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001197
2 200647
3 201345
4 201235
5 198731
6 201715
7 202113
8
Design and development of a 4-kW/2-kHz dc-isolated power conditioner for utility-interactive photovoltaic applications
198711
9 202010
10
Utility compatibility of nonisolated residential power conditioners
19878
11 20056
12 20234
13 20124
14 20233
15 20203
16
Power conditioning development for grid-connected residential photovoltaic applications
19873
17 20213
18 20213
19 20192
20 20172

About Tom Key

Tom Key is a scholar working on Control and Systems Engineering, Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Environmental Engineering, having authored 21 papers that have together received 446 indexed citations. Recurring topics across this work include Islanding Detection in Power Systems (8 papers), Microgrid Control and Optimization (6 papers), Photovoltaic System Optimization Techniques (5 papers), Advanced Battery Technologies Research (5 papers), Smart Grid Security and Resilience (3 papers), Power Systems and Technologies (3 papers), Energy Harvesting in Wireless Networks (2 papers) and Optimal Power Flow Distribution (2 papers). The work is most often cited by research in Ecological Modeling (54 citations), Environmental Engineering (131 citations), Ecology (167 citations), Control and Systems Engineering (138 citations) and Energy Engineering and Power Technology (13 citations). Tom Key has collaborated with scholars based in United States, Australia and Puerto Rico. Frequent co-authors include R.C. Dugan, Greg Ball, Jeff Smith, W. Bower, Abraham Ellis, Clifford W. Hansen, Gefei Kou, X L Shi, Jens C. Boemer and S. Ćuk. Their work appears in journals such as IEEE Power and Energy Magazine, IEEE Industry Applications Magazine, Obstetrical & Gynecological Survey, Remote Sensing of Environment and International Journal of Training Research.

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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