Salman A. Malik

69 total papers · 913 total citations
43 papers, 638 citations indexed

About

Salman A. Malik is a scholar working on Modeling and Simulation, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Salman A. Malik has authored 43 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Modeling and Simulation, 24 papers in Mathematical Physics and 16 papers in Applied Mathematics. Recurrent topics in Salman A. Malik's work include Fractional Differential Equations Solutions (32 papers), Numerical methods in inverse problems (24 papers) and Differential Equations and Boundary Problems (11 papers). Salman A. Malik is often cited by papers focused on Fractional Differential Equations Solutions (32 papers), Numerical methods in inverse problems (24 papers) and Differential Equations and Boundary Problems (11 papers). Salman A. Malik collaborates with scholars based in Pakistan, France and United States. Salman A. Malik's co-authors include Mokhtar Kirane, Muhammad Ali, M. A. Al-Gwaiz, Eduardo Cuesta, Brecht Reynders, Alessandro Chiumento, Sofie Pollin, Shahid S. Siddiqi, Ghazala Akram and Philippe Jacquet and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Signal Processing.

In The Last Decade

Salman A. Malik

41 papers receiving 612 citations

Author Peers

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

Author						Papers	Cites
Salman A. Malik	463	338	293	221	159	43	638
Paolo Novati	227 0.5×	168 0.5×	151 0.5×	384 1.7×	46 0.3×	48	723
Nguyen Huu Can	461 1.0×	184 0.5×	374 1.3×	180 0.8×	109 0.7×	60	619
Yunru Bai	196 0.4×	94 0.3×	375 1.3×	129 0.6×	95 0.6×	46	665
Haiyong Wang	330 0.7×	65 0.2×	453 1.5×	263 1.2×	99 0.6×	30	657
Zengqin Zhao	234 0.5×	110 0.3×	543 1.9×	264 1.2×	20 0.1×	64	712
Jingjun Zhao	343 0.7×	56 0.2×	112 0.4×	392 1.8×	98 0.6×	79	568
M. Thamban Nair	53 0.1×	549 1.6×	190 0.6×	143 0.6×	217 1.4×	78	680
Dang Duc Trong	156 0.3×	528 1.6×	209 0.7×	107 0.5×	230 1.4×	83	690
Marina Popolizio	474 1.0×	34 0.1×	144 0.5×	355 1.6×	72 0.5×	25	638
M. Zarebnia	372 0.8×	101 0.3×	69 0.2×	356 1.6×	96 0.6×	55	774

Countries citing papers authored by Salman A. Malik

Since Specialization

Citations

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

Fields of papers citing papers by Salman A. Malik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salman A. Malik. 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 Salman A. Malik. The network helps show where Salman A. Malik may publish in the future.

Co-authorship network of co-authors of Salman A. Malik

This figure shows the co-authorship network connecting the top 25 collaborators of Salman A. Malik. A scholar is included among the top collaborators of Salman A. Malik 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 Salman A. Malik. Salman A. Malik 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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