M. M.

528 total citations
3 papers, 4 citations indexed

About

M. M. is a scholar working on Computer Networks and Communications, Urban Studies and Information Systems. According to data from OpenAlex, M. M. has authored 3 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Networks and Communications, 1 paper in Urban Studies and 1 paper in Information Systems. Recurrent topics in M. M.'s work include Advanced Computing and Algorithms (1 paper), Emotion and Mood Recognition (1 paper) and AI and Big Data Applications (1 paper). M. M. is often cited by papers focused on Advanced Computing and Algorithms (1 paper), Emotion and Mood Recognition (1 paper) and AI and Big Data Applications (1 paper). M. M. collaborates with scholars based in China. M. M.'s co-authors include Nayef Abdulwahab Mohammed Alduais, Qian He, Jian Pu and Wei Su and has published in prestigious journals such as Journal of Intelligent & Fuzzy Systems and Journal of Intelligent Systems and Internet of Things.

In The Last Decade

M. M.

2 papers receiving 4 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. M. China	2	2	2	2	2	1	3	4
Vincent-Pierre Berges United States	2	2 1.0×	2 1.0×				3	3
Y. F. Han China	3	2 1.0×	2 1.0×				5	10
Jifeng Hu China	2	2 1.0×	2 1.0×				7	6
Zhenfei Yin China	2	2 1.0×	2 1.0×				9	7
Ningmei Zhang China	2		2 1.0×	2 1.0×			4	4
Peter-Paul M. Willemse Netherlands	1		2 1.0×	2 1.0×			2	2
Adam Bates United Kingdom	1	2 1.0×	2 1.0×				2	4
V. Chekalina Russia	2	1 0.5×	2 1.0×	2 1.0×			2	4
Sharan Sankar India	1	2 1.0×	3 1.5×	1 0.5×			2	6

Countries citing papers authored by M. M.

Since Specialization

Citations

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

Fields of papers citing papers by M. M.

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

M., M., et al.. (2024). Automated EEG based Emotion Detection using Bonobo Optimizer with Deep Learning on Human Computer Interaction. Journal of Intelligent Systems and Internet of Things. 12(1). 70–83.

2.

M., M., et al.. (2024). HDRA: A Haybird Data Reduction and Routing Algorithm. Journal of Intelligent Systems and Internet of Things. 12(2). 99–121. 1 indexed citations

3.

He, Qian, et al.. (2020). FRFCM clustering segmentation method for medical MR image feature diagnosis. Journal of Intelligent & Fuzzy Systems. 40(2). 2871–2879. 3 indexed citations

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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