Muhammad Asif Jan

43 total papers · 868 total citations
35 papers, 679 citations indexed

About

Muhammad Asif Jan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computational Mechanics. According to data from OpenAlex, Muhammad Asif Jan has authored 35 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 8 papers in Computational Mechanics. Recurrent topics in Muhammad Asif Jan's work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Evolutionary Algorithms and Applications (11 papers). Muhammad Asif Jan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Evolutionary Algorithms and Applications (11 papers). Muhammad Asif Jan collaborates with scholars based in Pakistan, Saudi Arabia and Taiwan. Muhammad Asif Jan's co-authors include Qingfu Zhang, Wali Khan Mashwani, Muhammad Rooman, Zahir Shah, Poom Kumam, Narcisa Vrînceanu, Özgür Yeniay, Nasser Tairan, Abdellah Salhi and Muhammad Sulaiman and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Muhammad Asif Jan

33 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Muhammad Asif Jan	327	307	176	146	127	35	679
Choi-Hong Lai	177 0.5×	83 0.3×	53 0.3×	79 0.5×	102 0.8×	56	621
Rituparna Datta	329 1.0×	353 1.1×	67 0.4×	92 0.6×	13 0.1×	48	710
P. Kaelo	344 1.1×	283 0.9×	32 0.2×	28 0.2×	108 0.9×	33	710
Yi Xiao	121 0.4×	130 0.4×	38 0.2×	97 0.7×	71 0.6×	49	706
Wei Zeng	246 0.8×	264 0.9×	28 0.2×	92 0.6×	41 0.3×	40	602
Oğuz Emrah Turgut	229 0.7×	140 0.5×	53 0.3×	216 1.5×	28 0.2×	50	677
Sebastian Schmitt	244 0.7×	197 0.6×	88 0.5×	47 0.3×	11 0.1×	28	634
Manoj Kumar Naik	366 1.1×	123 0.4×	94 0.5×	29 0.2×	24 0.2×	32	693
Henning Tolle	85 0.3×	146 0.5×	139 0.8×	108 0.7×	43 0.3×	45	715
Jie Zhao	289 0.9×	137 0.4×	43 0.2×	28 0.2×	23 0.2×	58	621

Countries citing papers authored by Muhammad Asif Jan

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Asif Jan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asif Jan

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

All Works

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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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