Muhammad Badar Hayat

661 total citations
9 papers, 465 citations indexed

About

Muhammad Badar Hayat is a scholar working on Mechanical Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Muhammad Badar Hayat has authored 9 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanical Engineering, 5 papers in Water Science and Technology and 2 papers in Civil and Structural Engineering. Recurrent topics in Muhammad Badar Hayat's work include Minerals Flotation and Separation Techniques (5 papers), Mineral Processing and Grinding (4 papers) and Extraction and Separation Processes (2 papers). Muhammad Badar Hayat is often cited by papers focused on Minerals Flotation and Separation Techniques (5 papers), Mineral Processing and Grinding (4 papers) and Extraction and Separation Processes (2 papers). Muhammad Badar Hayat collaborates with scholars based in United States and Pakistan. Muhammad Badar Hayat's co-authors include Lana Alagha, Danish Ali, Keitumetse Cathrine Monyake, Niaz Ahmed, Aditya Kumar, Rachel Cook and Muhammad Zaka Emad and has published in prestigious journals such as International Journal of Energy Research, Advanced Powder Technology and Minerals.

In The Last Decade

Muhammad Badar Hayat

8 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Muhammad Badar Hayat United States	6	168	161	119	71	69	9	465
Keitumetse Cathrine Monyake United States	5	168 1.0×	160 1.0×	102 0.9×	70 1.0×	68 1.0×	8	442
Mansur Aliyu Saudi Arabia	14	155 0.9×	89 0.6×	149 1.3×	66 0.9×	43 0.6×	26	570
Yong Zhu China	15	313 1.9×	265 1.6×	235 2.0×	52 0.7×	96 1.4×	45	735
Rachid Benchrifa Morocco	8	168 1.0×	112 0.7×	63 0.5×	59 0.8×	93 1.3×	21	369
Carlos Mata‐Torres Chile	11	356 2.1×	99 0.6×	252 2.1×	60 0.8×	61 0.9×	18	560
Maulidi Barasa China	6	129 0.8×	220 1.4×	63 0.5×	35 0.5×	36 0.5×	8	450
Ayman Mdallal United Arab Emirates	7	165 1.0×	222 1.4×	128 1.1×	13 0.2×	40 0.6×	14	572
Abbas Naeimi Iran	6	245 1.5×	101 0.6×	172 1.4×	16 0.2×	55 0.8×	7	436
Muhammad Uzair Pakistan	14	274 1.6×	141 0.9×	124 1.0×	56 0.8×	96 1.4×	63	516
Ahmed A. Hassan Egypt	14	208 1.2×	61 0.4×	216 1.8×	77 1.1×	19 0.3×	37	496

Countries citing papers authored by Muhammad Badar Hayat

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Badar Hayat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Badar Hayat

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

All Works

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9 of 9 papers shown

Ali, Danish, et al.. (2025). Artificial intelligence and machine learning models for predicting the metallurgical performance of complex sulfide ore flotation process. 134(1). 13–32.

Hayat, Muhammad Badar, et al.. (2021). Quadratic Mathematical Modeling of Sustainable Dry Beneficiation of Kaolin. Minerals. 11(4). 429–429. 4 indexed citations

Cook, Rachel, Keitumetse Cathrine Monyake, Muhammad Badar Hayat, Aditya Kumar, & Lana Alagha. (2020). Prediction of flotation efficiency of metal sulfides using an original hybrid machine learning model. Engineering Reports. 2(6). 34 indexed citations

Hayat, Muhammad Badar, et al.. (2019). Developing Empirical Models for Uniaxial Compressive Strength Prediction by Using Non-Destructive TestResults. Journal of Mining Science. 55(6). 883–892. 8 indexed citations

Hayat, Muhammad Badar, Lana Alagha, & Danish Ali. (2019). Air Decks in Surface Blasting Operations. Journal of Mining Science. 55(6). 922–929. 9 indexed citations

Ali, Danish, et al.. (2018). An evaluation of machine learning and artificial intelligence models for predicting the flotation behavior of fine high-ash coal. Advanced Powder Technology. 29(12). 3493–3506. 34 indexed citations

Hayat, Muhammad Badar. (2018). Mitigation of Environmental Hazards of Sulfide Mineral Flotation with an Insight into Froth Stability and Flotation Performance. 5 indexed citations

Hayat, Muhammad Badar, Danish Ali, Keitumetse Cathrine Monyake, Lana Alagha, & Niaz Ahmed. (2018). Solar energy-A look into power generation, challenges, and a solar-powered future. International Journal of Energy Research. 43(3). 1049–1067. 353 indexed citations

Hayat, Muhammad Badar, et al.. (2017). Flotation Behavior of Complex Sulfide Ores in the Presence of Biodegradable Polymeric Depressants. International Journal of Polymer Science. 2017. 1–9. 18 indexed citations

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.

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