Mark Dales

1.1k citations
15 papers · 914 · h-index 13

Impact in

Papers in

Mark Dales

15 papers receiving 902 citations

Peers

Mark Dales
Comparison fields: 5 of 57
  • Renewable Energy, Sustainability and the Environment 772
  • Artificial Intelligence 373
  • Energy Engineering and Power Technology 30
  • Electrical and Electronic Engineering 502
  • Industrial and Manufacturing Engineering 81
Replace Bruce Mehrdadi with:
Bruce Mehrdadi United Kingdom
Mahmoud Dhimish United Kingdom
Siva Ramakrishna Madeti India
Sofiane Kichou Spain
Marium Jalal Pakistan
Yassine Chaibi Morocco
Yousef Mahmoud United States
Kamel Kara Algeria
Dhanup S. Pillai India
C. Birk Jones United States
Mark Dales relative to Bruce Mehrdadi United Kingdom Bruce Mehrdadi's profile →
Citations per field
00.5×1.5×
Bruce Mehrdadi · 1×
Citations per year

Countries citing papers authored by Mark Dales

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Mark Dales, 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 Mark Dales Line = papers co-authored together Mark Dales links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2017186
2 2017117
3 2017109
4 201782
5 201771
6 201764
7 201756
8 201753
9 201853
10 201744
11 201734
12
Detecting Defective Bypass Diodes in Photovoltaic Modules using Mamdani Fuzzy Logic System
201718
13 201616
14 20177
15 20174

About Mark Dales

Mark Dales is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Environmental Engineering, having authored 15 papers that have together received 914 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (15 papers), solar cell performance optimization (7 papers), Solar Radiation and Photovoltaics (6 papers), Solar Thermal and Photovoltaic Systems (6 papers), Silicon and Solar Cell Technologies (5 papers), Islanding Detection in Power Systems (3 papers), Photovoltaic Systems and Sustainability (1 paper) and Microgrid Control and Optimization (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (772 citations), Artificial Intelligence (373 citations), Energy Engineering and Power Technology (30 citations), Electrical and Electronic Engineering (502 citations) and Industrial and Manufacturing Engineering (81 citations). Mark Dales has collaborated with scholars based in United Kingdom. Frequent co-authors include Violeta Holmes, Bruce Mehrdadi, Mahmoud Dhimish, Mahmoud Dhimish, Peter Mather, Li Zhang, Benjamin Chong and Martin J. N. Sibley. Their work appears in journals such as Renewable Energy, Electric Power Systems Research, IEEE Transactions on Device and Materials Reliability, Journal of Science Advanced Materials and Devices and IET Renewable Power Generation.

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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