Muhammad Abubakar
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Fida HussainYue ShenHui LiuSheeraz ArifMuhammad FaheemAshish GehaniFareed ZaffarMuhammad Shoaib Bhutta
- Topics
- Energy Load and Power Forecasting (5 papers)Power Quality and Harmonics (5 papers)Smart Grid Energy Management (3 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaScientific Reports
In The Last Decade
Muhammad Abubakar
22 papers receiving 465 citations
Peers
Comparison fields: 5 of 81
- Electrical and Electronic Engineering 299
- Control and Systems Engineering 163
- Artificial Intelligence 96
- Information Systems 73
- Computer Networks and Communications 67
Countries citing papers authored by Muhammad Abubakar
This map shows the geographic impact of Muhammad Abubakar'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 Muhammad Abubakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Abubakar more than expected).
Fields of papers citing papers by Muhammad Abubakar
This network shows the impact of papers produced by Muhammad Abubakar. 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 Muhammad Abubakar. The network helps show where Muhammad Abubakar may publish in the future.
Co-authorship network of co-authors of Muhammad Abubakar
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Abubakar. A scholar is included among the top collaborators of Muhammad Abubakar 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 Muhammad Abubakar. Muhammad Abubakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 23 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 27 | |
| 6 | 18 | |
| 7 | 29 | |
| 8 | SHARD: Fine-Grained Kernel Specialization with Context-Aware Hardening. | 7 |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 85 | |
| 16 | 39 | |
| 17 | 22 | |
| 18 | 108 | |
| 19 | 52 | |
| 20 | 2 |
About Muhammad Abubakar
Muhammad Abubakar is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 483 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (5 papers), Power Quality and Harmonics (5 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Control and Systems Engineering (163 citations), Electrical and Electronic Engineering (299 citations) and Signal Processing (54 citations). Muhammad Abubakar has collaborated with scholars based in Pakistan, China and Finland. Frequent co-authors include Fida Hussain, Yue Shen, Hui Liu, Sheeraz Arif, Muhammad Faheem, Ashish Gehani, Fareed Zaffar, Muhammad Shoaib Bhutta, Yanbo Che and Arfan Ali Nagra. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Scientific Reports.
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.