M. Amina Begum

36 total papers · 638 total citations
25 papers, 148 citations indexed

About

M. Amina Begum is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, M. Amina Begum has authored 25 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 2 papers in Media Technology. Recurrent topics in M. Amina Begum's work include Energy Efficient Wireless Sensor Networks (4 papers), Millimeter-Wave Propagation and Modeling (2 papers) and Brain Tumor Detection and Classification (2 papers). M. Amina Begum is often cited by papers focused on Energy Efficient Wireless Sensor Networks (4 papers), Millimeter-Wave Propagation and Modeling (2 papers) and Brain Tumor Detection and Classification (2 papers). M. Amina Begum collaborates with scholars based in India, United States and Saudi Arabia. M. Amina Begum's co-authors include Kazuaki Tanaka, R. Krishnamoorthy, Santosh Kumar, Harishchander Anandaram, Syed Noeman Taqui, Rahul Mishra, Ajay Singh Yadav, Alok Dubey, C. Nalini and Ramya Maranan and has published in prestigious journals such as Wireless Personal Communications, Journal of Infrared Millimeter and Terahertz Waves and Fusion Science & Technology.

In The Last Decade

M. Amina Begum

16 papers receiving 141 citations

Author Peers

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

Author Last Decade Papers Cites
M. Amina Begum 28 21 21 14 14 25 148
Olamilekan Shobayo 22 0.8× 32 1.5× 23 1.1× 7 0.5× 13 0.9× 24 164
KDV Prasad 41 1.5× 16 0.8× 15 0.7× 5 0.4× 7 0.5× 29 159
Waleed Abu-Ain 43 1.5× 41 2.0× 21 1.0× 14 1.0× 62 4.4× 18 192
Mahaveer Singh Naruka 25 0.9× 32 1.5× 18 0.9× 6 0.4× 21 1.5× 27 134
Bilal Saoud 58 2.1× 60 2.9× 53 2.5× 8 0.6× 14 1.0× 31 216
V. Mohanraj 40 1.4× 39 1.9× 17 0.8× 6 0.4× 31 2.2× 35 141
Rakesh Ramakrishnan 33 1.2× 23 1.1× 11 0.5× 18 1.3× 24 1.7× 16 143
Maganti Syamala 19 0.7× 56 2.7× 19 0.9× 3 0.2× 20 1.4× 24 136
Xuefeng Jiang 30 1.1× 84 4.0× 13 0.6× 31 2.2× 40 2.9× 21 219
J. Anitha 11 0.4× 21 1.0× 7 0.3× 12 0.9× 24 1.7× 24 188

Countries citing papers authored by M. Amina Begum

Since Specialization
Citations

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

Fields of papers citing papers by M. Amina Begum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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