A.H.M.A. Rahim

118 papers receiving 1.7k citations

Peers

A.H.M.A. Rahim
Comparison fields: 5 of 65
  • Statistics, Probability and Uncertainty 639
  • Medical Laboratory Technology 60
  • Management Information Systems 346
  • Control and Systems Engineering 712
  • Safety, Risk, Reliability and Quality 254
Replace Nabil Nahas with:
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Yizhong Ma China
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Citations per field
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Citations per year

Countries citing papers authored by A.H.M.A. Rahim

Since Specialization
Citations

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

Fields of papers citing papers by A.H.M.A. Rahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A.H.M.A. Rahim, 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 A.H.M.A. Rahim Line = papers co-authored together A.H.M.A. Rahim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988158
2 2012112
3 2000111
4 199490
5 200260
6 198953
7 199853
8 200052
9 200152
10 200352
11 199341
12 199641
13 199440
14 198836
15 200230
16 199629
17 200129
18 198829
19 200428
20 200727

About A.H.M.A. Rahim

A.H.M.A. Rahim is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty, Artificial Intelligence and Management Information Systems, having authored 120 papers that have together received 1.8k indexed citations. Recurring topics across this work include Power System Optimization and Stability (40 papers), Microgrid Control and Optimization (34 papers), Wind Turbine Control Systems (26 papers), Frequency Control in Power Systems (22 papers), HVDC Systems and Fault Protection (19 papers), Advanced Statistical Process Monitoring (19 papers), Islanding Detection in Power Systems (8 papers) and Supply Chain and Inventory Management (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (639 citations), Medical Laboratory Technology (60 citations), Management Information Systems (346 citations), Control and Systems Engineering (712 citations) and Safety, Risk, Reliability and Quality (254 citations). A.H.M.A. Rahim has collaborated with scholars based in Saudi Arabia, Canada and Bangladesh. Frequent co-authors include Mohamed Ben‐Daya, Pradeep Banerjee, E.P. Nowicki, M.H. Haque, Antônio Fernando Branco Costa, S.A. Al-Baiyat, F.J. Arcelus, Mahmudur Rahman, Ibrahim El‐Amin and Hiroshi Ohta. Their work appears in journals such as Electric Power Systems Research, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Energy Conversion, International Journal of Production Research and IEEE Transactions on Power Systems.

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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