Muhammad Salman Saeed
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Civil and Structural Engineering top 10%
- Mechanical Engineering
- Co-authors
- Mohd Wazir MustafaTouqeer Ahmed JumaniUsman Ullah SheikhNayyar Hussain MirjatMadihah Md RasidIlyas KhanZeeshan Ahmad ArfeenRaja Masood Larik
- Topics
- Electricity Theft Detection Techniques (9 papers)Imbalanced Data Classification Techniques (6 papers)Thermoelastic and Magnetoelastic Phenomena (4 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Muhammad Salman Saeed
20 papers receiving 490 citations
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 382
- Control and Systems Engineering 297
- Artificial Intelligence 94
- Civil and Structural Engineering 78
- Mechanical Engineering 36
Countries citing papers authored by Muhammad Salman Saeed
This map shows the geographic impact of Muhammad Salman Saeed'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 Salman Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Salman Saeed more than expected).
Fields of papers citing papers by Muhammad Salman Saeed
This network shows the impact of papers produced by Muhammad Salman Saeed. 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 Salman Saeed. The network helps show where Muhammad Salman Saeed may publish in the future.
Co-authorship network of co-authors of Muhammad Salman Saeed
This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Salman Saeed. A scholar is included among the top collaborators of Muhammad Salman Saeed 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 Salman Saeed. Muhammad Salman Saeed 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 101 | |
| 16 | 39 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | 71 | |
| 20 | 78 |
About Muhammad Salman Saeed
Muhammad Salman Saeed is a scholar working on Modeling and Simulation, Artificial Intelligence and Control and Systems Engineering, having authored 27 papers that have together received 508 indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (9 papers), Imbalanced Data Classification Techniques (6 papers) and Thermoelastic and Magnetoelastic Phenomena (4 papers). The work is most often cited by research in Control and Systems Engineering (297 citations), Energy Engineering and Power Technology (35 citations) and Electrical and Electronic Engineering (382 citations). Muhammad Salman Saeed has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Mohd Wazir Mustafa, Touqeer Ahmed Jumani, Usman Ullah Sheikh, Nayyar Hussain Mirjat, Madihah Md Rasid, Ilyas Khan, Zeeshan Ahmad Arfeen, Raja Masood Larik, Azhar Khairuddin and Zohaib Hussain Leghari. Their work appears in journals such as Energies, Applied Physics A and International Communications in Heat and Mass Transfer.
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.