Mohammed Otair

806 total citations
42 papers, 497 citations indexed

About

Mohammed Otair is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mohammed Otair has authored 42 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Mohammed Otair's work include Advanced Data Compression Techniques (5 papers), Text and Document Classification Technologies (4 papers) and Mobile Learning in Education (3 papers). Mohammed Otair is often cited by papers focused on Advanced Data Compression Techniques (5 papers), Text and Document Classification Technologies (4 papers) and Mobile Learning in Education (3 papers). Mohammed Otair collaborates with scholars based in Jordan, Malaysia and Saudi Arabia. Mohammed Otair's co-authors include Laith Abualigah, Maryam Altalhi, Putra Sumari, Mohammad Alshinwan, Ahmad M. Khasawneh, Heming Jia, Ahmad MohdAziz Hussein, Absalom E. Ezugwu, Malek Ahmad Almomani and Raed Abu Zitar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Wireless Networks.

In The Last Decade

Mohammed Otair

36 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Otair Jordan 10 298 210 84 79 78 42 497
K. Muneeswaran United States 8 290 1.0× 208 1.0× 46 0.5× 63 0.8× 108 1.4× 24 408
Vijey Thayananthan Saudi Arabia 13 157 0.5× 255 1.2× 71 0.8× 138 1.7× 82 1.1× 64 531
Jan Hajný Czechia 12 334 1.1× 227 1.1× 82 1.0× 269 3.4× 51 0.7× 88 636
Zhusong Liu China 8 203 0.7× 256 1.2× 83 1.0× 296 3.7× 98 1.3× 27 535
Haruo Yokota Japan 14 216 0.7× 314 1.5× 85 1.0× 188 2.4× 98 1.3× 107 546
Abdullah Bawakid United Kingdom 7 315 1.1× 149 0.7× 30 0.4× 112 1.4× 80 1.0× 13 422
Vineet Kansal India 13 163 0.5× 260 1.2× 70 0.8× 169 2.1× 59 0.8× 62 575
Qingfeng Cheng China 13 248 0.8× 306 1.5× 67 0.8× 300 3.8× 71 0.9× 60 533
Jörg Keller Germany 13 238 0.8× 405 1.9× 130 1.5× 164 2.1× 130 1.7× 156 688

Countries citing papers authored by Mohammed Otair

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Otair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Otair

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Otair. A scholar is included among the top collaborators of Mohammed Otair 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 Mohammed Otair. Mohammed Otair 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.
Otair, Mohammed, et al.. (2024). Sentiment analysis for Arabic call center notes using machine learning techniques. Journal of Autonomous Intelligence. 7(3). 4 indexed citations
2.
Abualigah, Laith, Abiodun M. Ikotun, Mohammad Shehab, et al.. (2024). A review of krill herd algorithm: optimization and its applications. Elsevier eBooks. 231–239. 5 indexed citations
3.
Al-Gasawneh, Jassim Ahmad, et al.. (2024). Online marketing campaigns’ aesthetics: Measuring the direct effect on customers’ decision-making. Innovative Marketing. 20(4). 206–218. 2 indexed citations
4.
Otair, Mohammed, et al.. (2023). Enhancing the quality of compressed images using rounding intensity followed by novel dividing technique. Multimedia Tools and Applications. 83(1). 1753–1786. 2 indexed citations
5.
Otair, Mohammed, et al.. (2023). Analysis of image filtering based on different types of rank filters. AIP conference proceedings. 2979. 50001–50001.
6.
Otair, Mohammed, Laith Abualigah, Mohammad Alshinwan, et al.. (2023). Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images. Multimedia Tools and Applications. 83(14). 41051–41081. 13 indexed citations
7.
Otair, Mohammed, et al.. (2022). Breast Cancer Classification using Decision Tree Algorithms. International Journal of Advanced Computer Science and Applications. 13(4). 13 indexed citations
8.
Hamad, Husam Ahmed Al, et al.. (2022). Improved linear density technique for segmentation in Arabic handwritten text recognition. Multimedia Tools and Applications. 81(20). 28531–28558. 3 indexed citations
9.
Otair, Mohammed, et al.. (2022). An enhanced Grey Wolf Optimizer based Particle Swarm Optimizer for intrusion detection system in wireless sensor networks. Wireless Networks. 28(2). 721–744. 66 indexed citations
10.
Otair, Mohammed, et al.. (2022). Optimized task scheduling in cloud computing using improved multi-verse optimizer. Cluster Computing. 25(6). 4221–4232. 24 indexed citations
11.
Otair, Mohammed, et al.. (2020). Feature selection method using improved CHI Square on Arabic text classifiers: analysis and application. Multimedia Tools and Applications. 80(7). 10373–10390. 36 indexed citations
12.
Otair, Mohammed, et al.. (2016). Lossy Image Compression by Rounding the Intensity Followed by Dividing (RIFD). Research Journal of Applied Sciences Engineering and Technology. 12(6). 680–685. 3 indexed citations
13.
Otair, Mohammed, et al.. (2015). A New Lossless Method of Image Compression by Decomposing the Tree of Huffman Technique. 15(2). 79–96. 2 indexed citations
14.
Otair, Mohammed. (2013). Comparative Analysis of Arabic Stemming Algorithms. 5(2). 1–12. 29 indexed citations
15.
Otair, Mohammed, et al.. (2010). Sharing of Learning Material on Mobile Devices Through Bluetooth Technology. International Journal of Emerging Technologies in Learning (iJET). 5(1). 16–16. 1 indexed citations
16.
Otair, Mohammed, et al.. (2008). Trends and Challenges for Mobile Learning in Jordan. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Otair, Mohammed, et al.. (2008). J2ME-Based Mobile Virtual Laboratory for Engineering Education. SHILAP Revista de lepidopterología. 2(2). 8 indexed citations
18.
Otair, Mohammed, et al.. (2008). Efficient Training of Neural Networks Using Optical Backpropagation with Momentum Factor. International Journal of Computers and Applications. 30(3). 167–172. 1 indexed citations
19.
Otair, Mohammed, et al.. (2005). Speeding Up Back-Propagation Neural Networks. Informing Science and IT Education Conference. 31 indexed citations
20.
Otair, Mohammed, et al.. (2005). Online Handwritten Character Recognition Using an Optical Backpropagation Neural Network. Issues in Informing Science and Information Technology. 2. 787–795. 5 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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