Ahmad Akl

520 total citations
9 papers, 394 citations indexed

About

Ahmad Akl is a scholar working on Computer Vision and Pattern Recognition, Psychiatry and Mental health and Signal Processing. According to data from OpenAlex, Ahmad Akl has authored 9 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Psychiatry and Mental health and 2 papers in Signal Processing. Recurrent topics in Ahmad Akl's work include Context-Aware Activity Recognition Systems (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Indoor and Outdoor Localization Technologies (2 papers). Ahmad Akl is often cited by papers focused on Context-Aware Activity Recognition Systems (5 papers), Dementia and Cognitive Impairment Research (3 papers) and Indoor and Outdoor Localization Technologies (2 papers). Ahmad Akl collaborates with scholars based in Canada, United States and Saudi Arabia. Ahmad Akl's co-authors include Shahrokh Valaee, Alex Mihailidis, Chen Feng, Babak Taati, Jasper Snoek, Jeffrey Kaye, Daniel Austin, Belkacem Chikhaoui, Nora Mattek and Ahmed Moustafa and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Biomedical Engineering and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Ahmad Akl

9 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahmad Akl Canada	6	171	140	87	83	55	9	394
J. Farringdon United Kingdom	7	186 1.1×	58 0.4×	25 0.3×	114 1.4×	37 0.7×	9	406
Luc Cluitmans Finland	9	167 1.0×	47 0.3×	35 0.4×	67 0.8×	49 0.9×	18	423
Roanna Lun United States	10	239 1.4×	108 0.8×	16 0.2×	100 1.2×	30 0.5×	12	470
Kenneth Lai Canada	10	105 0.6×	73 0.5×	22 0.3×	44 0.5×	32 0.6×	36	320
Antonis Billis Greece	11	113 0.7×	48 0.3×	47 0.5×	32 0.4×	34 0.6×	56	444
Pallavi Kaushik India	8	131 0.8×	58 0.4×	11 0.1×	61 0.7×	92 1.7×	13	365
D. Stefanov United Kingdom	7	124 0.7×	62 0.4×	17 0.2×	60 0.7×	36 0.7×	15	302
Aung Aung Phyo Wai Singapore	13	99 0.6×	53 0.4×	20 0.2×	135 1.6×	169 3.1×	46	464
Claudia Ferraris Italy	13	67 0.4×	35 0.3×	63 0.7×	103 1.2×	43 0.8×	37	441
Prafulla Dawadi United States	8	348 2.0×	21 0.1×	120 1.4×	39 0.5×	30 0.5×	10	523

Countries citing papers authored by Ahmad Akl

Since Specialization

Citations

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

Fields of papers citing papers by Ahmad Akl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Akl

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

All Works

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9 of 9 papers shown

1.

Akl, Ahmad, Ahmed Moustafa, & Ibrahim Elhenawy. (2018). Deep Learning: Approaches and Challenges. International Journal of Engineering Trends and Technology. 65(1). 9–16. 1 indexed citations

2.

Akl, Ahmad, Belkacem Chikhaoui, Nora Mattek, et al.. (2016). Clustering home activity distributions for automatic detection of mild cognitive impairment in older adults1. Journal of Ambient Intelligence and Smart Environments. 8(4). 437–451. 34 indexed citations

3.

Akl, Ahmad, et al.. (2016). The relation between overweight, obesity and plasma lipids in Saudi adults with type 2 diabetes. 4(2). 140–140. 4 indexed citations

4.

Akl, Ahmad, Jasper Snoek, & Alex Mihailidis. (2015). Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home Monitoring. IEEE Journal of Biomedical and Health Informatics. 21(2). 339–348. 35 indexed citations

5.

Akl, Ahmad & Alex Mihailidis. (2015). Estimating in-home walking speed distributions for unobtrusive detection of mild cognitive impairment in older adults. PubMed. 2015. 5175–5178. 9 indexed citations

6.

Akl, Ahmad, Babak Taati, & Alex Mihailidis. (2015). Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults. IEEE Transactions on Biomedical Engineering. 62(5). 1383–1394. 95 indexed citations

7.

Akl, Ahmad, Jasper Snoek, & Alex Mihailidis. (2014). Generalized Linear Models of home activity for automatic detection of mild cognitive impairment in older adults. PubMed. 9. 680–683. 3 indexed citations

8.

Akl, Ahmad, Chen Feng, & Shahrokh Valaee. (2011). A Novel Accelerometer-Based Gesture Recognition System. IEEE Transactions on Signal Processing. 59(12). 6197–6205. 133 indexed citations

9.

Akl, Ahmad & Shahrokh Valaee. (2010). Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, & compressive sensing. 2270–2273. 80 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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