M. Raihan

124 total papers · 942 total citations
65 papers, 492 citations indexed

About

M. Raihan is a scholar working on Artificial Intelligence, Health Information Management and Signal Processing. According to data from OpenAlex, M. Raihan has authored 65 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 18 papers in Health Information Management and 7 papers in Signal Processing. Recurrent topics in M. Raihan's work include Artificial Intelligence in Healthcare (18 papers), Imbalanced Data Classification Techniques (10 papers) and Sentiment Analysis and Opinion Mining (6 papers). M. Raihan is often cited by papers focused on Artificial Intelligence in Healthcare (18 papers), Imbalanced Data Classification Techniques (10 papers) and Sentiment Analysis and Opinion Mining (6 papers). M. Raihan collaborates with scholars based in Bangladesh, India and Saudi Arabia. M. Raihan's co-authors include Laboni Akter, Md. Mehedi Hassan, Etu Podder, Arun More, Anupam Kumar Bairagi, Sadika Zaman, Khan Md. Hasib, Himadri Shekhar Mondal, Mehedi Masud and Fahmida Dil Farzana and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

M. Raihan

53 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
M. Raihan	198	158	77	57	53	65	492
Ashwini Kodipalli	199 1.0×	87 0.6×	79 1.0×	29 0.5×	21 0.4×	110	521
Oumaima Saidani	190 1.0×	21 0.1×	64 0.8×	22 0.4×	17 0.3×	56	484
J Aravinth	115 0.6×	90 0.6×	28 0.4×	8 0.1×	45 0.8×	54	529
V. Dhilip Kumar	116 0.6×	66 0.4×	67 0.9×	45 0.8×	15 0.3×	38	533
Jingchi Jiang	197 1.0×	41 0.3×	18 0.2×	20 0.4×	74 1.4×	56	419
Mehmet Akif Çifçi	212 1.1×	39 0.2×	91 1.2×	18 0.3×	20 0.4×	31	502
Jatinder Manhas	177 0.9×	59 0.4×	99 1.3×	15 0.3×	5 0.1×	32	462
Wiharto Wiharto	177 0.9×	149 0.9×	96 1.2×	11 0.2×	6 0.1×	54	491
Ji-Won Baek	110 0.6×	61 0.4×	31 0.4×	16 0.3×	8 0.2×	41	407
Lalitha Krishnasamy	129 0.7×	42 0.3×	54 0.7×	10 0.2×	15 0.3×	67	532

Countries citing papers authored by M. Raihan

Since Specialization

Citations

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

Fields of papers citing papers by M. Raihan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Raihan

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