Muhammad Islam

79 total papers · 1.3k total citations
62 papers, 869 citations indexed

About

Muhammad Islam is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Muhammad Islam has authored 62 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Muhammad Islam's work include Video Surveillance and Tracking Methods (8 papers), Smart Agriculture and AI (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Muhammad Islam is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Smart Agriculture and AI (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Muhammad Islam collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Muhammad Islam's co-authors include Shabana Habib, Sheroz Khan, Waleed Albattah, Mohammed Aloraini, Mohammed F. Alsharekh, Suliman Aladhadh, Saleh Alyahya, Abdullah M. Alnajim, Taimoor Ashraf Khan and Saleh Albahli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Muhammad Islam

55 papers receiving 831 citations

Author Peers

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

Author						Papers	Cites
Muhammad Islam	237	232	211	148	82	62	869
Shabana Habib	282 1.2×	284 1.2×	181 0.9×	181 1.2×	108 1.3×	53	853
Sandeep Kautish	300 1.3×	156 0.7×	95 0.5×	228 1.5×	157 1.9×	63	877
Sushruta Mishra	279 1.2×	153 0.7×	119 0.6×	138 0.9×	146 1.8×	87	1.1k
Hani Alquhayz	315 1.3×	129 0.6×	140 0.7×	194 1.3×	106 1.3×	55	906
Shubham Mahajan	234 1.0×	125 0.5×	191 0.9×	134 0.9×	49 0.6×	87	822
Mohit Mittal	316 1.3×	244 1.1×	169 0.8×	387 2.6×	132 1.6×	67	1.0k
Muhammad Saleem	243 1.0×	132 0.6×	116 0.5×	213 1.4×	205 2.5×	36	880
Hrudaya Kumar Tripathy	220 0.9×	209 0.9×	96 0.5×	98 0.7×	95 1.2×	66	875
Amit Kant Pandit	225 0.9×	127 0.5×	211 1.0×	124 0.8×	35 0.4×	72	975
Avinash Sharma	194 0.8×	150 0.6×	106 0.5×	205 1.4×	167 2.0×	112	948

Countries citing papers authored by Muhammad Islam

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Islam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Islam

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