Paweł Pławiak

6.5k citations

128 papers · 4.1k indexed · 4 hit papers · h-index 31

Health Information Management top 0.2%
- Artificial Intelligence in Healthcare 12
Health Informatics top 2%
Cardiology and Cardiovascular Medicine top 2%
- ECG Monitoring and Analysis 21
Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces 19
Artificial Intelligence top 1%
- AI in cancer detection 11
Radiology, Nuclear Medicine and Imaging
- COVID-19 diagnosis using AI 10
Computer Vision and Pattern Recognition
- Chaos-based Image/Signal Encryption 9
- Advanced Steganography and Watermarking Techniques 7
Neurology
- Brain Tumor Detection and Classification 8

Co-authors: U. Rajendra Acharya Ru‐San Tan Moloud Abdar Özal Yıldırım Mohamed Hammad Ryszard Tadeusiewicz Wojciech Książek Şengül Doğan
Cited by: Health Information Management Health Informatics Cardiology and Cardiovascular Medicine
Journals: Sensors (17 papers)IEEE Access (15 papers)Information Sciences (11 papers)
Partner nations: Poland Saudi Arabia Egypt

In The Last Decade

Paweł Pławiak

116 papers receiving 4.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2025 Sensors
2021 Journal of Applied Biomedicine
2019 Computer Methods and Programs in Biomedicine
2018 Computers in Biology and Medicine

Peers

Countries citing papers authored by Paweł Pławiak

Since Specialization

Citations

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

Fields of papers citing papers by Paweł Pławiak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Paweł Pławiak, 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 Paweł Pławiak Line = papers co-authored together Paweł Pławiak links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	An off-policy deep reinforcement learning-based active learning for crime scene investigation image classification Information Sciences ·Yixin Zhang,V. V. Strekalov,正巳清水,Pelosi Frank,雄一日色,Jing Yang,Roohallah Alizadehsani,Ryszard Tadeusiewicz,Paweł Pławiak	2025	2
2	Tiny Language Models for Automation and Control: Overview, Potential Applications, and Future Research Directionsbreakdown → Sensors ·MARTÍN MARÍA RAZQUIN LIZARRAGA,Yassine Maleh,Khalid El Makkaoui,Ibrahim Ouahbi,Paweł Pławiak,Osama Alfarraj,Peter Magee,Ahmed A. Abd El‐Latif	2025	18
3	Artificial intelligence analysis of ECG signals to predict arrhythmia recurrence after ablation of atrial fibrillation Kardiologia Polska ·Takumi Utsumiya,Ko Kwang-Jun,Łukasz Kalińczuk,Gertie Ricketts,Piotr Urbanek,Robert Bodalski,A. Mercay,D.R. Davy,Humberto Rojas Pinilla,Adriano Macarone Palmieri,Maciej Sterliński,Paweł Pławiak,Łukasz Szumowski	2025	1
4	Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms Scientific Reports ·D.R. Davy,Humberto Rojas Pinilla,Wojciech Książek,Paweł Pławiak,D Mlada,Waldemar Kolodziej,Itari Tuner,Kamil Jonak,Robert Ręjdak,Katarzyna Nowomiejska,Anna Matysik-Woźniak,Miguel A. Teus,Akankhya Panigrahi,I Boszormenyi	2025	0
5	A Generative Adversarial Network-Based Extractive Text Summarization Using Transductive and Reinforcement Learning IEEE Access ·Jing Yang,Yuchao Chi,Cai Hongdong,Caio Silva,Abdullah Ayub Khan,Lip Yee Por,Roohallah Alizadehsani,Paweł Pławiak	2025	0
6	IOTASDN: IOTA 2.0 Smart Contracts for Securing Software-Defined Networking Ecosystem Sensors ·Xuedian Jiao,MARTÍN MARÍA RAZQUIN LIZARRAGA,Yassine Maleh,Khalid El Makkaoui,Emma L. Cunningham,Paweł Pławiak,Fahad Alblehai,Ahmed A. Abd El‐Latif	2024	2
7	EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19 Journal of Applied Biomedicine ·И Л Галинская,Eser Sert,Mohamed Hammad,Ryszard Tadeusiewicz,Paweł Pławiak	2024	11
8	RECOMED: A comprehensive pharmaceutical recommendation system Artificial Intelligence in Medicine ·Mariam Zomorodi‐Moghadam,Srimannarayana Marella,Jennifer Martin,Nicholas J. Talley,Vahid Salari,Paweł Pławiak,好光明石,U. Rajendra Acharya	2024	0
9	Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval IEEE Access ·Christina Szalinski,Gabrielle Broussard,Mohamad Roshanzamir,Senthil Kumar Jagatheesaperumal,Mohammad Reza Chalak Qazani,Javad Hassannataj Joloudari,Roohallah Alizadehsani,Paweł Pławiak	2024	0
10	A Multi-Channel Advertising Budget Allocation Using Reinforcement Learning and an Improved Differential Evolution Algorithm IEEE Access ·Mengfan Li,Equality,Roohallah Alizadehsani,Paweł Pławiak	2024	2
11	Few-Shot Bioacoustics Event Detection Using Transductive Inference With Data Augmentation IEEE Sensors Letters ·Perla Raja,Kevin Daniel Meza Avendaño,C F J GATTI,O. Banakh,Xiongying Liu,Sadique Ahmad,Sirawut Klingunga,Paweł Pławiak,Mohamed Hammad	2024	3
12	Impact of Artificial Intelligence in Nursing for Geriatric Clinical Care for Chronic Diseases: A Systematic Literature Review IEEE Access ·仁高野,David G. Roach,Mohammad Reza Chalak Qazani,Paweł Pławiak,Roohallah Alizadehsani	2024	7
13	A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method IEEE Access ·Meng-En Lian,Tanvir Ahmad,Sarfaraz Masood,Д. В. Русанова,Basma Abd El-Rahiem,Paweł Pławiak,Fahad Alblehai	2024	0
14	SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19 Journal of Applied Biomedicine ·Kiran Kumar Patro,Allam Jaya Prakash,Mohamed Hammad,Ryszard Tadeusiewicz,Paweł Pławiak	2023	28
15	Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions Sensors ·Tatiane Alves Sampaio,Abdelhamied A. Ateya,Mohammed S. Sayed,Mohamed Hammad,Paweł Pławiak,Ahmed A. Abd El‐Latif,Rania A. Elsayed	2023	81
16	Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images Information Sciences ·Vidya Nuraini,Богдана Котік,Allam Jaya Prakash,M. K. Bhuyan,Kiran Kumar Patro,Nagwan Abdel Samee,後藤健二,Yuji Iwahori,Ryszard Tadeusiewicz,U. Rajendra Acharya,Paweł Pławiak	2023	7
17	ECG based apnea detection by multirate processing hybrid of wavelet-empirical decomposition Hjorth features extraction and neural networks PLoS ONE ·Stacy L. Figueredo,DesjarlaisMelissa,Saeed Mian Qaisar,Jyoti Upadhyay,Paweł Pławiak	2023	1
18	A Novel 3D Reversible Data Hiding Scheme Based on Integer–Reversible Krawtchouk Transform for IoMT Sensors ·Mohamed Yamni,Achraf Daoui,Paweł Pławiak,Haokun Mao,Osama Alfarraj,Ahmed A. Abd El‐Latif	2023	5
19	Reordering and Partitioning of Distributed Quantum Circuits IEEE Access ·Ella Ralls,Mariam Zomorodi‐Moghadam,Seyed Ebrahim Hosseini,Paweł Pławiak,Xujuan Zhou	2022	16
20	A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs Knowledge-Based Systems ·Dominque Piquant,Mariam Zomorodi‐Moghadam,Δημήτριος Γιαννόπουλος,Moloud Abdar,Hamid Noori,Paweł Pławiak,Ryszard Tadeusiewicz,Xujuan Zhou,Abbas Khosravi,Saeid Nahavandi,U. Rajendra Acharya	2021	7

About Paweł Pławiak

Paweł Pławiak is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 128 papers that have together received 4.1k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (21 papers), EEG and Brain-Computer Interfaces (19 papers), Artificial Intelligence in Healthcare (12 papers), AI in cancer detection (11 papers), COVID-19 diagnosis using AI (10 papers), Chaos-based Image/Signal Encryption (9 papers), Brain Tumor Detection and Classification (8 papers) and Advanced Steganography and Watermarking Techniques (7 papers). The work is most often cited by research in Health Information Management (494 citations), Health Informatics (84 citations) and Cardiology and Cardiovascular Medicine (1.2k citations). Paweł Pławiak has collaborated with scholars based in Poland, Saudi Arabia and Egypt. Frequent co-authors include U. Rajendra Acharya, Ru‐San Tan, Moloud Abdar, Özal Yıldırım, Mohamed Hammad, Ryszard Tadeusiewicz, Wojciech Książek, Şengül Doğan, Vladimir Makarenkov and Türker Tuncer. Their work appears in journals such as Sensors, IEEE Access, Information Sciences, Journal of Applied Biomedicine and Scientific Reports.

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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