Shakoor Muhammad

22 total papers · 622 total citations
16 papers, 402 citations indexed

About

Shakoor Muhammad is a scholar working on Control and Systems Engineering, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Shakoor Muhammad has authored 16 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Modeling and Simulation and 3 papers in Artificial Intelligence. Recurrent topics in Shakoor Muhammad's work include Fractional Differential Equations Solutions (4 papers), Optimization and Mathematical Programming (2 papers) and Power Systems Fault Detection (2 papers). Shakoor Muhammad is often cited by papers focused on Fractional Differential Equations Solutions (4 papers), Optimization and Mathematical Programming (2 papers) and Power Systems Fault Detection (2 papers). Shakoor Muhammad collaborates with scholars based in Pakistan, China and Brazil. Shakoor Muhammad's co-authors include Muhammad Tahir, Muhammad Sardaraz, Zahid Mehmood, Wahab Khan, Muhammad Sulaiman, Ali Daud, Khalil Khan, Waseem Waseem, Ashfaq Ahmad and Kamal Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Journal of Advanced Research.

In The Last Decade

Shakoor Muhammad

15 papers receiving 389 citations

Hit Papers

Exploring the frontiers o... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shakoor Muhammad 138 124 81 67 53 16 402
Ismail Ali 63 0.5× 135 1.1× 95 1.2× 30 0.4× 16 0.3× 27 373
Sattar Seifollahi 54 0.4× 122 1.0× 23 0.3× 109 1.6× 26 0.5× 21 416
Paul Weng 30 0.2× 88 0.7× 66 0.8× 46 0.7× 39 0.7× 31 398
Xin Long 38 0.3× 62 0.5× 236 2.9× 37 0.6× 32 0.6× 15 380
Muhammad Reazul Haque 56 0.4× 179 1.4× 156 1.9× 32 0.5× 56 1.1× 19 420
Pier Luigi Novi Inverardi 128 0.9× 152 1.2× 13 0.2× 19 0.3× 16 0.3× 27 422
Ali Shakiba 33 0.2× 72 0.6× 15 0.2× 112 1.7× 20 0.4× 32 364
Bing Liu 43 0.3× 34 0.3× 17 0.2× 57 0.9× 59 1.1× 27 393
C. Fornaro 24 0.2× 19 0.2× 32 0.4× 27 0.4× 30 0.6× 27 351
Rosy Pradhan 70 0.5× 136 1.1× 76 0.9× 29 0.4× 166 3.1× 28 370

Countries citing papers authored by Shakoor Muhammad

Since Specialization
Citations

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

Fields of papers citing papers by Shakoor Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shakoor Muhammad. 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 Shakoor Muhammad. The network helps show where Shakoor Muhammad may publish in the future.

Co-authorship network of co-authors of Shakoor Muhammad

This figure shows the co-authorship network connecting the top 25 collaborators of Shakoor Muhammad. A scholar is included among the top collaborators of Shakoor Muhammad 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 Shakoor Muhammad. Shakoor Muhammad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026