Aamir Arsalan

631 total citations
27 papers, 351 citations indexed

About

Aamir Arsalan is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Aamir Arsalan has authored 27 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Cognitive Neuroscience and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Aamir Arsalan's work include EEG and Brain-Computer Interfaces (8 papers), Context-Aware Activity Recognition Systems (8 papers) and Emotion and Mood Recognition (5 papers). Aamir Arsalan is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Context-Aware Activity Recognition Systems (8 papers) and Emotion and Mood Recognition (5 papers). Aamir Arsalan collaborates with scholars based in Pakistan, Hong Kong and Slovakia. Aamir Arsalan's co-authors include Muhammad Majid, Syed Muhammad Anwar, Muhammad Ehatisham-ul-Haq, Imran Mehmood, Heng Li, Shahnawaz Anwer, Waleed Umer, Sanay Muhammad Umar Saeed, Jie Ma and Maxwell Fordjour Antwi‐Afari and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Aamir Arsalan

25 papers receiving 340 citations

Peers

Aamir Arsalan

CN

ECP

CCM

BE

SP

Antonio R. Hidalgo-Muñoz France

Dimitris Grigoriadis Greece

Olympia Simantiraki Spain

K. Adalarasu India

Jacqueline Wijsman Netherlands

Imali Hettiarachchi Australia

Deniz Ekiz Türkiye

Pamela Zontone Italy

Zunairah Hj Murat Malaysia

Antonio R. Hidalgo-Muñoz France

Aamir Arsalan

191 ×1.3

CN

139 ×1.2

ECP

88 ×0.8

CCM

36 ×0.5

BE

116 ×2.1

SP

Citations per year, relative to Aamir Arsalan Aamir Arsalan (= 1×) peers Antonio R. Hidalgo-Muñoz

Countries citing papers authored by Aamir Arsalan

Since Specialization

Citations

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

Fields of papers citing papers by Aamir Arsalan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aamir Arsalan

This figure shows the co-authorship network connecting the top 25 collaborators of Aamir Arsalan. A scholar is included among the top collaborators of Aamir Arsalan 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 Aamir Arsalan. Aamir Arsalan 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:

20 of 20 papers shown

1.

Frnda, Jaroslav, et al.. (2025). A Transfer Learning-Based Framework for Enhanced Classification of Perceived Mental Stress Using EEG Spectrograms. IEEE Access. 13. 89266–89286.

2.

Ma, Jie, Heng Li, Bo Fang, et al.. (2025). Assessing physical and mental fatigue in construction workers: validating sweat lactate as a biomarker. Ain Shams Engineering Journal. 16(8). 103484–103484. 1 indexed citations

3.

Saeed, Sanay Muhammad Umar, et al.. (2024). A machine learning based depression screening framework using temporal domain features of the electroencephalography signals. PLoS ONE. 19(3). e0299127–e0299127. 7 indexed citations

4.

Arsalan, Aamir, et al.. (2024). A Novel Framework for Daily Life Activity and Context Recognition In-The-Wild Using Smartphone Inertial Sensors. IEEE Access. 12. 175176–175195. 2 indexed citations

5.

Arsalan, Aamir, et al.. (2023). Classification of Human Physical Activities and Postures During Everyday Life. 98–103. 3 indexed citations

6.

Arsalan, Aamir, et al.. (2023). A Framework for Daily Living Activity Recognition using Fusion of Smartphone Inertial Sensors Data. 21. 1–6. 3 indexed citations

7.

Arsalan, Aamir, et al.. (2023). Motorbike Driving Activity Recognition Using Smartphone Motion Sensors. 1–6. 1 indexed citations

8.

Zaidi, A., et al.. (2023). A Neurocognitive Approach to Evaluate Mobile Game Player’s Experience Using EEG. 1–5.

9.

Arsalan, Aamir, et al.. (2023). User Recognition based on Gait Pattern via Smartwatch Accelerometer in Unrestricted Environment. 6. 1–6. 1 indexed citations

10.

Arsalan, Aamir, et al.. (2023). Identification of Human Activity and Associated Context Using Smartphone Inertial Sensors in Unrestricted Environment. 1–6. 7 indexed citations

11.

Mehmood, Imran, et al.. (2022). Validity of facial features’ geometric measurements for real-time assessment of mental fatigue in construction equipment operators. Advanced Engineering Informatics. 54. 101777–101777. 25 indexed citations

12.

Arsalan, Aamir & Muhammad Majid. (2021). Human stress classification during public speaking using physiological signals. Computers in Biology and Medicine. 133. 104377–104377. 44 indexed citations

13.

Saeed, Sanay Muhammad Umar, et al.. (2021). EEG in game user analysis: A framework for expertise classification during gameplay. PLoS ONE. 16(6). e0246913–e0246913. 15 indexed citations

14.

Fatima, Bushra, et al.. (2021). Gender Recognition using EEG during Mobile Game Play. 634–639. 3 indexed citations

15.

Ehatisham-ul-Haq, Muhammad, et al.. (2021). Expert-novice classification of mobile game player using smartphone inertial sensors. Expert Systems with Applications. 174. 114700–114700. 8 indexed citations

16.

Ehatisham-ul-Haq, Muhammad, et al.. (2020). Recognizing Human-Object Interaction (HOI) Using Wrist-Mounted Inertial Sensors. IEEE Sensors Journal. 21(6). 7899–7907. 4 indexed citations

17.

Ehatisham-ul-Haq, Muhammad, et al.. (2020). REALME: An Approach for Handwritten Signature Verification based on Smart Wrist Sensor. 1–6. 2 indexed citations

18.

Ehatisham-ul-Haq, Muhammad, et al.. (2020). Object based Human-Object Interaction (HOI) Recognition using Wrist-mounted Sensors. 1–6. 6 indexed citations

19.

Arsalan, Aamir, et al.. (2020). Multimodal Personality Trait Recognition Using Wearable Sensors in Response to Public Speaking. IEEE Sensors Journal. 20(12). 6532–6541. 19 indexed citations

20.

Arsalan, Aamir, et al.. (2019). Classification of Perceived Mental Stress Using A Commercially Available EEG Headband. IEEE Journal of Biomedical and Health Informatics. 23(6). 2257–2264. 125 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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