Mai Ali

408 citations
12 papers · 268 · h-index 7

Impact in

Papers in

Mai Ali

12 papers receiving 250 citations

Peers

Mai Ali
Comparison fields: 5 of 52
  • Health Information Management 32
  • Computer Networks and Communications 142
  • Medical Laboratory Technology 4
  • Information Systems 42
  • Computer Vision and Pattern Recognition 37
Replace V. Thulasi Bai with:
V. Thulasi Bai India
Hoe Tung Yew Malaysia
Philip A. Catherwood United Kingdom
Abdelkrim Hadjidj France
Basant Kumar India
Hanif Ullah United Kingdom
Hirokazu Tanaka Japan
Jennifer Price United States
Samineni Peddakrishna India
Ijaz Khan China
Mai Ali relative to V. Thulasi Bai India V. Thulasi Bai's profile →
Citations per field
00.5×3.6×
V. Thulasi Bai · 1×
Citations per year

Countries citing papers authored by Mai Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mai Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Mai Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mai Ali Line = papers co-authored together Mai Ali links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201782
2 201878
3 201536
4 201123
5 201316
6 201914
7 20179
8 20134
9 20132
10 20132
11 20131
12
A system study of a wireless subcutaneous transmitter
20101

About Mai Ali

Mai Ali is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Mechanical Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 268 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (9 papers), Wireless Power Transfer Systems (5 papers), Innovative Energy Harvesting Technologies (4 papers), IoT and Edge/Fog Computing (3 papers), Wireless Body Area Networks (3 papers), Antenna Design and Analysis (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Optical Imaging and Spectroscopy Techniques (1 paper). The work is most often cited by research in Health Information Management (32 citations), Computer Networks and Communications (142 citations), Medical Laboratory Technology (4 citations), Information Systems (42 citations) and Computer Vision and Pattern Recognition (37 citations). Mai Ali has collaborated with scholars based in United Arab Emirates, Finland and Saudi Arabia. Frequent co-authors include Tuan Nguyen Gia, Imed Ben Dhaou, Tomi Westerlund, Hannu Tenhunen, Lutfi Albasha, Pasi Liljeberg, Nasser Qaddoumi, Amir M. Rahmani, Amir M. Rahmani and Hasan Al‐Nashash. Their work appears in journals such as IET Microwaves Antennas & Propagation, Future Generation Computer Systems, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE, Procedia Computer Science and European Microwave Conference.

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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