Imtiaz Ahmed Awan

596 total citations
18 papers, 455 citations indexed

About

Imtiaz Ahmed Awan is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Imtiaz Ahmed Awan has authored 18 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Imtiaz Ahmed Awan's work include EEG and Brain-Computer Interfaces (6 papers), Heart Rate Variability and Autonomic Control (4 papers) and ECG Monitoring and Analysis (3 papers). Imtiaz Ahmed Awan is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Heart Rate Variability and Autonomic Control (4 papers) and ECG Monitoring and Analysis (3 papers). Imtiaz Ahmed Awan collaborates with scholars based in Pakistan, Saudi Arabia and China. Imtiaz Ahmed Awan's co-authors include Lal Hussain, Sharjil Saeed, Malik Sajjad Ahmed Nadeem, Abdul Majid, Adnan Idris, Wajid Aziz, Adeel Abbasi, Saeed Arif Shah, Amjad Ali and Kyung Sup Kwak and has published in prestigious journals such as PLoS ONE, Optics Express and BioMed Research International.

In The Last Decade

Imtiaz Ahmed Awan

17 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imtiaz Ahmed Awan Pakistan 11 193 98 93 86 82 18 455
Gökhan Altan Türkiye 14 134 0.7× 48 0.5× 107 1.2× 94 1.1× 128 1.6× 31 609
Sawon Pratiher India 11 83 0.4× 76 0.8× 65 0.7× 91 1.1× 99 1.2× 45 355
Adeel Abbasi Pakistan 8 211 1.1× 105 1.1× 166 1.8× 17 0.2× 27 0.3× 16 395
Sang‐Woong Lee South Korea 10 232 1.2× 212 2.2× 116 1.2× 55 0.6× 69 0.8× 19 519
C. Jiménez-Mesa Spain 9 138 0.7× 101 1.0× 120 1.3× 18 0.2× 93 1.1× 14 449
Kiran Kumar Patro India 14 102 0.5× 124 1.3× 70 0.8× 165 1.9× 144 1.8× 24 502
Yunendah Nur Fuadah Indonesia 10 91 0.5× 74 0.8× 66 0.7× 77 0.9× 21 0.3× 36 359
Seral Özşen Türkiye 11 108 0.6× 51 0.5× 34 0.4× 73 0.8× 169 2.1× 38 453
Rahime Ceylan Türkiye 10 131 0.7× 44 0.4× 45 0.5× 77 0.9× 62 0.8× 20 333
R Lavanya India 9 84 0.4× 68 0.7× 62 0.7× 73 0.8× 82 1.0× 62 292

Countries citing papers authored by Imtiaz Ahmed Awan

Since Specialization
Citations

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

Fields of papers citing papers by Imtiaz Ahmed Awan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imtiaz Ahmed Awan

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

All Works

18 of 18 papers shown
1.
Zhang, Chi, Chaoyun Luo, Xiyuan Zhang, et al.. (2025). Study on the spectral characteristics of IF signals and its influence on the performance of heterodyne Φ-OTDR. Optics Express. 33(7). 16389–16389. 1 indexed citations
2.
Tong, Shuai, Chi Zhang, Hao Ding, et al.. (2024). Research on PFN suppression methods in φ-OTDR systems based on the MSI-VPFN algorithm. Optics Express. 32(26). 47123–47123. 1 indexed citations
3.
4.
Abbasi, Adeel, et al.. (2020). Detecting prostate cancer using deep learning convolution neural network with transfer learning approach. Cognitive Neurodynamics. 14(4). 523–533. 97 indexed citations
5.
Iqbal, Javed, et al.. (2020). Software Process Improvement Implementation Issues in Small and Medium Enterprises That Develop Healthcare Applications. Journal of Medical Imaging and Health Informatics. 10(10). 2393–2403. 1 indexed citations
6.
Hussain, Lal, Imtiaz Ahmed Awan, Wajid Aziz, et al.. (2020). Detecting Congestive Heart Failure by Extracting Multimodal Features and Employing Machine Learning Techniques. BioMed Research International. 2020(1). 4281243–4281243. 64 indexed citations
7.
Iqbal, Javed, et al.. (2020). Software Process Improvement Implementation Issues in Small and Medium Enterprises That Develop Healthcare Applications. Journal of Medical Imaging and Health Informatics. 10(10). 2393–2403. 2 indexed citations
8.
Hussain, Lal, et al.. (2019). Detecting Brain Tumor using Machines Learning Techniques Based on Different Features Extracting Strategies. Current Medical Imaging Formerly Current Medical Imaging Reviews. 15(6). 595–606. 47 indexed citations
9.
Hussain, Lal, Sharjil Saeed, Adnan Idris, et al.. (2019). Regression analysis for detecting epileptic seizure with different feature extracting strategies. Biomedizinische Technik/Biomedical Engineering. 64(6). 619–642. 16 indexed citations
10.
11.
Hussain, Lal, et al.. (2018). Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques. Waves in Random and Complex Media. 30(4). 656–686. 17 indexed citations
12.
Hussain, Lal, Sharjil Saeed, Imtiaz Ahmed Awan, & Adnan Idris. (2018). Multiscaled Complexity Analysis of EEG Epileptic Seizure Using Entropy-Based Techniques. Archives of Neuroscience. 5(1). 23 indexed citations
13.
Hussain, Lal, Wajid Aziz, Sharjil Saeed, et al.. (2017). Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique. Biomedical Research-tokyo. 28(16). 7104–7111. 23 indexed citations
14.
Hussain, Lal, Sharjil Saeed, Saima Rathore, et al.. (2017). Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies. Cancer Biomarkers. 21(2). 393–413. 74 indexed citations
15.
Hussain, Lal, Wajid Aziz, Sharjil Saeed, et al.. (2017). Quantifying the dynamics of electroencephalographic (EEG) signals to distinguish alcoholic and non-alcoholic subjects using an MSE based K-d tree algorithm. Biomedizinische Technik/Biomedical Engineering. 63(4). 481–490. 23 indexed citations
16.
Hussain, Lal, et al.. (2014). Classification of Human Faces and Non Faces Using Machine Learning Techniques. International Journal of Electronics and Electrical Engineering. 116–123. 10 indexed citations
17.
Awan, Imtiaz Ahmed, S.A.M. Gilani, & Saeed Arif Shah. (2006). Utilization of Maximum Data Hiding Capacity in Object-Based Text Document Authentication. 597–600. 4 indexed citations
18.
Awan, Imtiaz Ahmed, S.A.M. Gilani, & Saeed Arif Shah. (2006). Utilization of Maximum Data Hiding Capacity in Object-Based Text Document Authentication. 1. 597–600. 2 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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