Matthew K. Gray

3.5k citations
14 papers · 2.0k indexed · 1 hit paper · h-index 7

Impact in

Papers in

    • Advanced Battery Technologies Research 7
    • Electric and Hybrid Vehicle Technologies 3
    • Electric Vehicles and Infrastructure 7
    • Optimal Power Flow Distribution 2
    • Electric Power System Optimization 2
    • Electrical Fault Detection and Protection 1

Matthew K. Gray

12 papers receiving 1.8k citations

Hit Papers

Quantitative Analysis of Culture Using Millions of Digitized Books 2010 · 1.7k citations
1.7k201020262015202050010001.5k

Peers

Matthew K. Gray
Comparison fields: 5 of 160
  • Cultural Studies 321
  • General Social Sciences 94
  • Automotive Engineering 201
  • Artificial Intelligence 514
  • Literature and Literary Theory 157
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Matthew K. Gray relative to Jon Oberlander United Kingdom Jon Oberlander's profile →
Citations per field
00.5×7.8×
Jon Oberlander · 1×
Citations per year

Countries citing papers authored by Matthew K. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Matthew K. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew K. Gray. 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 Matthew K. Gray. The network helps show where Matthew K. Gray may publish in the future.

Co-authors

The 14 scholars most cited alongside Matthew K. Gray, 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 Matthew K. Gray Line = papers co-authored together Matthew K. Gray links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20250
2 20240
3 20185
4 20171
5 201727
6 201635
7 201632
8 201616
9 20146
10 2014170
11 20134
12 20133
13
Quantitative Analysis of Culture Using Millions of Digitized Books
Hit paper breakdown →
20101670
14 200215

About Matthew K. Gray

Matthew K. Gray is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Cultural Studies, Language and Linguistics and Control and Systems Engineering, having authored 14 papers that have together received 2.0k indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (7 papers), Advanced Battery Technologies Research (7 papers), Electric and Hybrid Vehicle Technologies (3 papers), Optimal Power Flow Distribution (2 papers), Microgrid Control and Optimization (2 papers), Electric Power System Optimization (2 papers), Language and cultural evolution (1 paper) and Electrical Fault Detection and Protection (1 paper). The work is most often cited by research in Cultural Studies (321 citations), General Social Sciences (94 citations), Automotive Engineering (201 citations), Artificial Intelligence (514 citations) and Literature and Literary Theory (157 citations). Matthew K. Gray has collaborated with scholars based in Canada, United States and Malaysia. Frequent co-authors include Walid G. Morsi, Adrian Veres, Martin A. Nowak, Peter Norvig, Jon Orwant, Aviva Presser Aiden, Jean-Baptiste Michel, Steven Pinker, Erez Lieberman Aiden and Yuan Shen. Their work appears in journals such as Electric Power Systems Research, IEEE Transactions on Power Systems, Science and Journal of Biological Chemistry.

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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