M.A. Baseer

13 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 · 504 citations
5040+2+5Years since publication100200300400500

Peers

M.A. Baseer
Comparison fields: 5 of 101
  • Energy Engineering and Power Technology 239
  • Pollution 194
  • Aerospace Engineering 321
  • Environmental Engineering 168
  • Electrical and Electronic Engineering 603
Replace Fatih Onur Hocaoğlu with:
Fatih Onur Hocaoğlu Türkiye
Paulo César Marques de Carvalho Brazil
Mohammad Yusri Hassan Malaysia
Abdullah Al‐Badi Oman
Robin Girard France
Cláudio Monteiro Portugal
Ángel Molina‐García Spain
Alexandre Beluco Brazil
Önder Güler Türkiye
Matti Koivisto Denmark
M.A. Baseer relative to Fatih Onur Hocaoğlu Türkiye Fatih Onur Hocaoğlu's profile →
Citations per field
00.5×2.9×
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 16 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

13 of 13 papers shown
#Work
1
Application of support vector machine models for forecasting solar and wind energy resources: A review
Hit paper breakdown →
2018504
2 2017195
3 2019134
4 2016126
5 201575
6 200554
7 201529
8 202025
9 202223
10 20157
11 20043
12
Synthesis and antimicrobial studies of some novel pyrazolines
20112
13
Synthesis And Antimicrobial Activity Of Some New Isoxazolines And 1,5-Benzothiazepines
20022

About M.A. Baseer

M.A. Baseer is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Energy Engineering and Power Technology, Organic Chemistry and Pollution, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wind Energy Research and Development (4 papers), Hybrid Renewable Energy Systems (3 papers), Energy and Environment Impacts (2 papers), Advanced Machining and Optimization Techniques (2 papers), Solar Radiation and Photovoltaics (2 papers), Multicomponent Synthesis of Heterocycles (2 papers), Electric Power System Optimization (2 papers) and Advanced machining processes and optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (239 citations), Pollution (194 citations), Aerospace Engineering (321 citations), Environmental Engineering (168 citations) and Electrical and Electronic Engineering (603 citations). M.A. Baseer has collaborated with scholars based in Saudi Arabia, South Africa and China. Frequent co-authors include Alireza Zendehboudi, R. Saidur, Shafiqur Rehman, Josua P. Meyer, Md. Mahbub Alam, Faleh A. Al-Sulaiman, Anwar Khalil Sheikh, Luai M. Alhems, Hassan Z. Al Garni and Abdullahi Abubakar Mas’ud. Their work appears in journals such as Renewable Energy, Journal of Cleaner Production, Indian Journal of Pharmaceutical Sciences, Sustainable Energy Technologies and Assessments and Energy.

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.

Explore authors with similar magnitude of impact