Sameer Al‐Dahidi

2.6k citations
100 papers · 1.8k indexed · h-index 26

Impact in

Papers in

Sameer Al‐Dahidi

96 papers receiving 1.7k citations

Peers

Sameer Al‐Dahidi
Comparison fields: 5 of 95
  • Energy Engineering and Power Technology 191
  • Renewable Energy, Sustainability and the Environment 655
  • Artificial Intelligence 561
  • Fluid Flow and Transfer Processes 84
  • Automotive Engineering 162
Replace Firas Basim Ismail with:
Firas Basim Ismail Malaysia
Kody M. Powell United States
Niladri Chakraborty India
Hoseyn Sayyaadi Iran
Ahmet Teke Türkiye
Ali Khosravi Finland
Paweł Ocłoń Poland
Renu Sharma India
Andrea Toffolo Italy
Jinghua Li China
Sameer Al‐Dahidi relative to Firas Basim Ismail Malaysia Firas Basim Ismail's profile →
Citations per field
00.5×4.7×
Firas Basim Ismail · 1×
Citations per year

Countries citing papers authored by Sameer Al‐Dahidi

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Al‐Dahidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer Al‐Dahidi. 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 Sameer Al‐Dahidi. The network helps show where Sameer Al‐Dahidi may publish in the future.

Co-authors

The 25 scholars most cited alongside Sameer Al‐Dahidi, 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 Sameer Al‐Dahidi Line = papers co-authored together Sameer Al‐Dahidi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019122
2 201883
3 201965
4 201961
5 201961
6 201952
7 201649
8 202146
9 201944
10 202439
11 202337
12 202435
13 202035
14 201934
15 202333
16 202432
17 202432
18 202031
19 201931
20 202030

About Sameer Al‐Dahidi

Sameer Al‐Dahidi is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Artificial Intelligence, Mechanical Engineering and Control and Systems Engineering, having authored 100 papers that have together received 1.8k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (26 papers), Photovoltaic System Optimization Techniques (24 papers), Energy Load and Power Forecasting (18 papers), Solar Thermal and Photovoltaic Systems (11 papers), Fault Detection and Control Systems (10 papers), Energy and Environment Impacts (9 papers), Hybrid Renewable Energy Systems (9 papers) and Reliability and Maintenance Optimization (8 papers). The work is most often cited by research in Energy Engineering and Power Technology (191 citations), Renewable Energy, Sustainability and the Environment (655 citations), Artificial Intelligence (561 citations), Fluid Flow and Transfer Processes (84 citations) and Automotive Engineering (162 citations). Sameer Al‐Dahidi has collaborated with scholars based in Jordan, United States and Italy. Frequent co-authors include Mohammad Alrbai, Osama Ayadi, Loiy Al‐Ghussain, Enrico Zio, Piero Baraldi, Ali Alahmer, Hassan Hayajneh, Bashar R. Qawasmeh, Mohamed Louzazni and Francesco Di Maio. Their work appears in journals such as Sustainability, Energies, Results in Engineering, Energy and IEEE Access.

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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