Mohammad Ali Khan

70 total papers · 690 total citations
40 papers, 524 citations indexed

About

Mohammad Ali Khan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Food Science. According to data from OpenAlex, Mohammad Ali Khan has authored 40 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 14 papers in Computer Networks and Communications and 12 papers in Food Science. Recurrent topics in Mohammad Ali Khan's work include Nonlinear Dynamics and Pattern Formation (13 papers), Chaos control and synchronization (13 papers) and Neural Networks Stability and Synchronization (6 papers). Mohammad Ali Khan is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (13 papers), Chaos control and synchronization (13 papers) and Neural Networks Stability and Synchronization (6 papers). Mohammad Ali Khan collaborates with scholars based in India, United States and Saudi Arabia. Mohammad Ali Khan's co-authors include Krishna Kumar Patel, Abhijit Kar, Swarup Poria, Rayees Ul Islam, Shahid Ul Islam, Arshied Manzoor, Rayees Ahmad Shiekh, M. Abdul Mujeebu, Banshidhar Sahoo and Sadaf Ahmad and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Desalination.

In The Last Decade

Mohammad Ali Khan

37 papers receiving 503 citations

Author Peers

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

Author						Papers	Cites
Mohammad Ali Khan	190	136	123	91	67	40	524
Choon Hui Tan	159 0.8×	68 0.5×	114 0.9×	119 1.3×	55 0.8×	24	540
Norashikin Ab. Aziz	324 1.7×	139 1.0×	44 0.4×	78 0.9×	78 1.2×	40	565
F. dos S. Gomes	317 1.7×	98 0.7×	44 0.4×	71 0.8×	95 1.4×	32	555
Julien Ricci	246 1.3×	189 1.4×	61 0.5×	60 0.7×	169 2.5×	42	543
Hefei Zhao	215 1.1×	72 0.5×	47 0.4×	128 1.4×	139 2.1×	26	565
S. M. Kamrul Hasan	302 1.6×	157 1.2×	109 0.9×	37 0.4×	143 2.1×	41	591
Evangelina García‐Armenta	246 1.3×	104 0.8×	80 0.7×	39 0.4×	87 1.3×	26	464
Udaykumar Nidoni	245 1.3×	128 0.9×	35 0.3×	33 0.4×	109 1.6×	71	493
Dinesh Chandra	221 1.2×	55 0.4×	32 0.3×	43 0.5×	90 1.3×	49	550
Irina Potoroko	220 1.2×	69 0.5×	43 0.3×	57 0.6×	121 1.8×	33	454

Countries citing papers authored by Mohammad Ali Khan

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Ali Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ali Khan. 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 Mohammad Ali Khan. The network helps show where Mohammad Ali Khan may publish in the future.

Co-authorship network of co-authors of Mohammad Ali Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Khan. A scholar is included among the top collaborators of Mohammad Ali Khan 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 Mohammad Ali Khan. Mohammad Ali Khan 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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