I.S. Moghram
Impact in
-
- Grey System Theory Applications
- Stock Market Forecasting Methods
Papers in
-
- Energy Load and Power Forecasting 3
- Electric Power System Optimization 2
-
- Thermal Analysis in Power Transmission 2
- Extremum Seeking Control Systems 1
- Advanced Control Systems Design 1
- Co-authors
- Saifur Rahman (2 shared papers)Daniel Tylavsky (1 shared paper)Saifur Rahman (1 shared paper)
- Journals
- Proceedings of the IEEE (1 paper)Renewable Energy (1 paper)IEEE Transactions on Power Systems (1 paper)IEEE Power Engineering Review (1 paper)International Journal of Electrical Engineering Education (1 paper)
- Partner nations
- United StatesYemenJordan
In The Last Decade
I.S. Moghram
6 papers receiving 592 citations
I.S. Moghram's Hit Papers
Peers
Comparison fields: 5 of 52
- Management Science and Operations Research 238
- Energy Engineering and Power Technology 49
- Electrical and Electronic Engineering 595
- Environmental Engineering 123
- Artificial Intelligence 167
Countries citing papers authored by I.S. Moghram
This map shows the geographic impact of I.S. Moghram'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 I.S. Moghram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I.S. Moghram more than expected).
Fields of papers citing papers by I.S. Moghram
This network shows the impact of papers produced by I.S. Moghram. 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 I.S. Moghram. The network helps show where I.S. Moghram may publish in the future.
Co-authors
The 3 scholars most cited alongside I.S. Moghram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Analysis and evaluation of five short-term load forecasting techniques Hit paper breakdown → | 1989 | 559 |
| 2 | 1989 | 45 | |
| 3 | 1997 | 38 | |
| 4 | 1998 | 5 | |
| 5 | 1987 | 5 | |
| 6 | 2003 | 2 | |
| 7 | 2000 | 0 |
About I.S. Moghram
I.S. Moghram is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Astronomy and Astrophysics, Artificial Intelligence and Media Technology, having authored 7 papers that have together received 654 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (3 papers), Lightning and Electromagnetic Phenomena (2 papers), Neural Networks and Applications (2 papers), Thermal Analysis in Power Transmission (2 papers), Electric Power System Optimization (2 papers), Extremum Seeking Control Systems (1 paper), Advanced Control Systems Design (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Management Science and Operations Research (238 citations), Energy Engineering and Power Technology (49 citations), Electrical and Electronic Engineering (595 citations), Environmental Engineering (123 citations) and Artificial Intelligence (167 citations). I.S. Moghram has collaborated with scholars based in United States, Yemen and Jordan. Frequent co-authors include Saifur Rahman, Daniel Tylavsky and Saifur Rahman. Their work appears in journals such as Proceedings of the IEEE, Renewable Energy, IEEE Transactions on Power Systems, IEEE Power Engineering Review and International Journal of Electrical Engineering Education.
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.