Ted Soubdhan

1.0k citations
25 papers · 785 · h-index 14

Impact in

Papers in

Ted Soubdhan

24 papers receiving 762 citations

Peers

Ted Soubdhan
Comparison fields: 5 of 64
  • Renewable Energy, Sustainability and the Environment 364
  • Artificial Intelligence 573
  • Electrical and Electronic Engineering 459
  • Energy Engineering and Power Technology 21
  • Management Science and Operations Research 74
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Rich H. Inman United States
Kacem Gairaa Algeria
Zibo Dong Singapore
Bixuan Gao China
Martín Gastón Spain
Lukas Nonnenmacher United States
Ricardo Marquez United States
Gokhan Mert Yagli Singapore
Nicolas Schmutz Australia
Sophie Pelland Canada
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Citations per field
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Citations per year

Countries citing papers authored by Ted Soubdhan

Since Specialization
Citations

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

Fields of papers citing papers by Ted Soubdhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ted Soubdhan, 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 Ted Soubdhan Line = papers co-authored together Ted Soubdhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015191
2 2016118
3 200990
4 200451
5 201650
6 201543
7 201340
8 201928
9 201626
10 201824
11 201522
12 201519
13 201118
14 201914
15 202013
16 202112
17 20149
18 20218
19 20233
20 20222

About Ted Soubdhan

Ted Soubdhan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment and Control and Systems Engineering, having authored 25 papers that have together received 785 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (17 papers), Energy Load and Power Forecasting (13 papers), Photovoltaic System Optimization Techniques (7 papers), Grey System Theory Applications (7 papers), Solar Thermal and Photovoltaic Systems (4 papers), Wind Turbine Control Systems (2 papers), Microgrid Control and Optimization (2 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (364 citations), Artificial Intelligence (573 citations), Electrical and Electronic Engineering (459 citations), Energy Engineering and Power Technology (21 citations) and Management Science and Operations Research (74 citations). Ted Soubdhan has collaborated with scholars based in Guadeloupe, France and United States. Frequent co-authors include Rudy Calif, Cyril Voyant, Philippe Lauret, Mathieu David, Richard Emilion, Philippe Poggi, François G. Schmitt, Yongxiang Huang, Marc Muselli and Sophie Dabo‐Niang. Their work appears in journals such as Solar Energy, Energy, Renewable Energy, IET Renewable Power Generation and Energies.

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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