M. Nazif Faqiry
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Sanjoy DasHongyu WuAnil PahwaBodhisattwa Prasad MajumderHaifeng ZhangAmin KhodaeiTing XuBo Liu
- Topics
- Smart Grid Energy Management (16 papers)Microgrid Control and Optimization (9 papers)Electric Power System Optimization (7 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Partner nations
- United StatesIndiaChina
In The Last Decade
M. Nazif Faqiry
17 papers receiving 366 citations
Peers
Comparison fields: 5 of 31
- Electrical and Electronic Engineering 351
- Control and Systems Engineering 169
- Information Systems 58
- Management Science and Operations Research 42
- Renewable Energy, Sustainability and the Environment 27
Countries citing papers authored by M. Nazif Faqiry
This map shows the geographic impact of M. Nazif Faqiry'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. Nazif Faqiry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Nazif Faqiry more than expected).
Fields of papers citing papers by M. Nazif Faqiry
This network shows the impact of papers produced by M. Nazif Faqiry. 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. Nazif Faqiry. The network helps show where M. Nazif Faqiry may publish in the future.
Co-authorship network of co-authors of M. Nazif Faqiry
This figure shows the co-authorship network connecting the top 25 collaborators of M. Nazif Faqiry. A scholar is included among the top collaborators of M. Nazif Faqiry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Nazif Faqiry. M. Nazif Faqiry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 36 | |
| 7 | 37 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 51 | |
| 11 | 18 | |
| 12 | 28 | |
| 13 | 7 | |
| 14 | 73 | |
| 15 | 41 | |
| 16 | 7 | |
| 17 | 8 |
About M. Nazif Faqiry
M. Nazif Faqiry is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 17 papers that have together received 378 indexed citations. Recurring topics across this work include Smart Grid Energy Management (16 papers), Microgrid Control and Optimization (9 papers) and Electric Power System Optimization (7 papers). The work is most often cited by research in Control and Systems Engineering (169 citations), Electrical and Electronic Engineering (351 citations) and Energy Engineering and Power Technology (14 citations). M. Nazif Faqiry has collaborated with scholars based in United States, India and China. Frequent co-authors include Sanjoy Das, Hongyu Wu, Anil Pahwa, Bodhisattwa Prasad Majumder, Haifeng Zhang, Amin Khodaei, Ting Xu, Bo Liu, Rohan Mukherjee and Dheepak Krishnamurthy. Their work appears in journals such as Applied Energy, IEEE Access and IEEE Transactions on Smart Grid.
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.