M.A. Baseer

12 papers receiving 1.1k citations

M.A. Baseer's Hit Papers

Application of support vector machine models for forecasting solar and wind energy resources: A review 2018 · 469 citations
4690+2+5Years since publication100200300400

Peers

M.A. Baseer
Comparison fields: 5 of 99
  • Energy Engineering and Power Technology 233
  • Pollution 184
  • Aerospace Engineering 306
  • Environmental Engineering 158
  • Electrical and Electronic Engineering 572
Replace Fatih Onur Hocaoğlu with:
Fatih Onur Hocaoğlu Türkiye
Paulo César Marques de Carvalho Brazil
Abdullah Al‐Badi Oman
Mohammad Yusri Hassan Malaysia
Cláudio Monteiro Portugal
Ángel Molina‐García Spain
Robin Girard France
Önder Güler Türkiye
Alexandre Beluco Brazil
Mustafa Serdar Genç Türkiye
M.A. Baseer relative to Fatih Onur Hocaoğlu Türkiye Fatih Onur Hocaoğlu's profile →
Citations per field
00.5×3.0×
Fatih Onur Hocaoğlu · 1×
Citations per year

Countries citing papers authored by M.A. Baseer

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Baseer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Baseer. 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 M.A. Baseer. The network helps show where M.A. Baseer may publish in the future.

Co-authors

The 15 scholars most cited alongside M.A. Baseer, 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 M.A. Baseer Line = papers co-authored together M.A. Baseer links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Application of support vector machine models for forecasting solar and wind energy resources: A review
Hit paper breakdown →
2018469
2 2017185
3 2019129
4 2016122
5 201571
6 200550
7 201527
8 202024
9 202222
10 20043
11
Synthesis and antimicrobial studies of some novel pyrazolines
20112
12
Synthesis And Antimicrobial Activity Of Some New Isoxazolines And 1,5-Benzothiazepines
20021

About M.A. Baseer

M.A. Baseer is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Organic Chemistry, Pollution and Sociology and Political Science, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wind Energy Research and Development (4 papers), Electric Power System Optimization (2 papers), Advanced machining processes and optimization (2 papers), Energy and Environment Impacts (2 papers), Synthesis and biological activity (2 papers), Advanced Machining and Optimization Techniques (2 papers), Social Acceptance of Renewable Energy (2 papers) and Hybrid Renewable Energy Systems (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (233 citations), Pollution (184 citations), Aerospace Engineering (306 citations), Environmental Engineering (158 citations) and Electrical and Electronic Engineering (572 citations). M.A. Baseer has collaborated with scholars based in Saudi Arabia, China and South Africa. Frequent co-authors include Alireza Zendehboudi, R. Saidur, Shafiqur Rehman, Md. Mahbub Alam, Josua P. Meyer, Anwar Khalil Sheikh, Faleh A. Al-Sulaiman, Luai M. Alhems, Makbul A.M. Ramli and Hassan Z. Al Garni. Their work appears in journals such as Journal of Cleaner Production, Renewable Energy, Journal of Materials Processing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and Sustainable Energy Technologies and Assessments.

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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