Natheer Khasawneh

1.1k total citations
30 papers, 809 citations indexed

About

Natheer Khasawneh is a scholar working on Information Systems, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Natheer Khasawneh has authored 30 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Natheer Khasawneh's work include EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Natheer Khasawneh is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), ECG Monitoring and Analysis (6 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Natheer Khasawneh collaborates with scholars based in Jordan, Germany and United States. Natheer Khasawneh's co-authors include Luay Fraiwan, Mohammad Fraiwan, Khaldon Lweesy, Hartmut Dickhaus, Heinrich Wenz, Rehab Duwairi, Chien-Chung Chan, Ali Ibnian, Basheer Khassawneh and Stefan Conrad and has published in prestigious journals such as Sensors, Sustainability and Applied Sciences.

In The Last Decade

Natheer Khasawneh

30 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natheer Khasawneh Jordan 13 376 170 155 105 105 30 809
Musa Peker Türkiye 12 409 1.1× 178 1.0× 274 1.8× 104 1.0× 79 0.8× 27 855
Esmeralda C. Djamal Indonesia 14 274 0.7× 142 0.8× 58 0.4× 55 0.5× 64 0.6× 130 614
Arpit Bhardwaj India 16 241 0.6× 353 2.1× 69 0.4× 47 0.4× 121 1.2× 45 901
Adhi Dharma Wibawa Indonesia 12 226 0.6× 89 0.5× 36 0.2× 59 0.6× 146 1.4× 97 507
Kiran George United States 13 286 0.8× 67 0.4× 87 0.6× 119 1.1× 33 0.3× 126 765
Palani Thanaraj Krishnan India 14 177 0.5× 251 1.5× 106 0.7× 73 0.7× 81 0.8× 39 939
Khalid Masood Pakistan 12 98 0.3× 92 0.5× 32 0.2× 56 0.5× 42 0.4× 27 729
Shailja Shukla India 12 215 0.6× 88 0.5× 86 0.6× 125 1.2× 12 0.1× 30 607
Chee‐Ming Ting Malaysia 14 424 1.1× 117 0.7× 117 0.8× 62 0.6× 65 0.6× 67 799
Mohammed Diykh Australia 16 561 1.5× 138 0.8× 291 1.9× 120 1.1× 95 0.9× 28 822

Countries citing papers authored by Natheer Khasawneh

Since Specialization
Citations

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

Fields of papers citing papers by Natheer Khasawneh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natheer Khasawneh

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

All Works

20 of 20 papers shown
1.
Fraiwan, Mohammad, Natheer Khasawneh, Basheer Khassawneh, & Ali Ibnian. (2023). A dataset of COVID-19 x-ray chest images. Data in Brief. 47. 109000–109000. 1 indexed citations
2.
Khasawneh, Natheer, et al.. (2022). Automatic Detection of Tomato Diseases Using Deep Transfer Learning. Applied Sciences. 12(17). 8467–8467. 25 indexed citations
3.
Fraiwan, Mohammad, et al.. (2022). Classification of Corn Diseases from Leaf Images Using Deep Transfer Learning. Plants. 11(20). 2668–2668. 42 indexed citations
4.
Fraiwan, Mohammad, et al.. (2022). Multiclass Classification of Grape Diseases Using Deep Artificial Intelligence. Agriculture. 12(10). 1542–1542. 10 indexed citations
5.
Fraiwan, Mohammad, et al.. (2022). On Using Deep Artificial Intelligence to Automatically Detect Apple Diseases from Leaf Images. Sustainability. 14(16). 10322–10322. 9 indexed citations
6.
Khasawneh, Natheer, Mohammad Fraiwan, & Luay Fraiwan. (2022). Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning. BMC Medical Informatics and Decision Making. 22(1). 297–297. 30 indexed citations
7.
Khasawneh, Natheer, Mohammad Fraiwan, & Luay Fraiwan. (2022). Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3. Cluster Computing. 26(6). 3985–3995. 22 indexed citations
8.
Khasawneh, Natheer, Mohammad Fraiwan, Luay Fraiwan, Basheer Khassawneh, & Ali Ibnian. (2021). Detection of COVID-19 from Chest X-ray Images Using Deep Convolutional Neural Networks. Sensors. 21(17). 5940–5940. 41 indexed citations
9.
Fraiwan, Luay, et al.. (2021). Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression. Sensors. 21(22). 7574–7574. 4 indexed citations
10.
Khasawneh, Natheer, et al.. (2020). A Framework for Crowd-Sourced Exercise Data Collection and Processing. 313–317. 2 indexed citations
11.
Fraiwan, Mohammad, et al.. (2015). A Kinect-based system for Arabic sign language to speech translation. International Journal of Computer Applications in Technology. 52(2/3). 117–117. 3 indexed citations
12.
Fraiwan, Mohammad, et al.. (2012). Analysis and Identification of Malicious JavaScript Code. Information Security Journal A Global Perspective. 21(1). 1–11. 12 indexed citations
13.
Khasawneh, Natheer, et al.. (2012). A Generic Framework for Collecting and Mining Client Paradata for Web Applications. Journal of Emerging Technologies in Web Intelligence. 4(4). 1 indexed citations
14.
Lweesy, Khaldon, Natheer Khasawneh, Mohammad Fraiwan, et al.. (2010). Classification of Sleep Stages Using Multi-wavelet Time Frequency Entropy and LDA. Methods of Information in Medicine. 49(3). 230–237. 69 indexed citations
15.
Duwairi, Rehab, et al.. (2009). Feature reduction techniques for Arabic text categorization. Journal of the American Society for Information Science and Technology. 60(11). 2347–2352. 44 indexed citations
16.
Fraiwan, Luay, Khaldon Lweesy, Natheer Khasawneh, et al.. (2009). Time Frequency Analysis for Automated Sleep Stage Identification in Fullterm and Preterm Neonates. Journal of Medical Systems. 35(4). 693–702. 25 indexed citations
17.
Khasawneh, Natheer & Chien-Chung Chan. (2007). Multidimensional Sessions Comparison Method Using Dynamic Programming. 10. 581–585. 2 indexed citations
18.
Duwairi, Rehab, et al.. (2007). Stemming Versus Light Stemming as Feature Selection Techniques for Arabic Text Categorization. Qatar University QSpace (Qatar University). 446–450. 37 indexed citations
19.
Khasawneh, Natheer & Chien-Chung Chan. (2006). Active User-Based and Ontology-Based Web Log Data Preprocessing for Web Usage Mining. 2703. 325–328. 31 indexed citations
20.
Durkin, John & Natheer Khasawneh. (2005). Toward better website usage: leveraging data mining techniques and rough set learning to construct better-to-use websites. 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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