Sabah Mohammed

1.9k total citations · 1 hit paper
157 papers, 1.2k citations indexed

About

Sabah Mohammed is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Sabah Mohammed has authored 157 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 33 papers in Information Systems and 22 papers in Health Information Management. Recurrent topics in Sabah Mohammed's work include Electronic Health Records Systems (13 papers), Time Series Analysis and Forecasting (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Sabah Mohammed is often cited by papers focused on Electronic Health Records Systems (13 papers), Time Series Analysis and Forecasting (12 papers) and Anomaly Detection Techniques and Applications (11 papers). Sabah Mohammed collaborates with scholars based in Canada, Macao and Australia. Sabah Mohammed's co-authors include Jinan Fiaidhi, Carlos Ramos, Tai-hoon Kim, Simon Fong, Raymond K. Wong, Jinyan Li, Gerardo Rubino, Sebastián Basterrech, Mohamed A. R. Soliman and Kelvin K. L. Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Sabah Mohammed

141 papers receiving 1.1k citations

Hit Papers

Smart City and IoT 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabah Mohammed Canada 16 376 265 200 160 124 157 1.2k
Zafer Al-Makhadmeh Saudi Arabia 18 296 0.8× 335 1.3× 266 1.3× 143 0.9× 139 1.1× 34 961
Irina V. Pustokhina Russia 19 367 1.0× 330 1.2× 227 1.1× 172 1.1× 287 2.3× 63 1.3k
Denis A. Pustokhin Russia 19 362 1.0× 328 1.2× 220 1.1× 172 1.1× 287 2.3× 55 1.2k
Suliman Mohamed Fati Saudi Arabia 22 571 1.5× 216 0.8× 205 1.0× 158 1.0× 199 1.6× 74 1.6k
Subhendu Kumar Pani India 19 269 0.7× 209 0.8× 295 1.5× 105 0.7× 126 1.0× 65 1.1k
Chaman Verma India 19 215 0.6× 248 0.9× 188 0.9× 117 0.7× 137 1.1× 121 980
Sudan Jha India 22 329 0.9× 308 1.2× 324 1.6× 257 1.6× 224 1.8× 76 1.6k
Amandeep Kaur India 21 361 1.0× 255 1.0× 235 1.2× 126 0.8× 228 1.8× 157 1.6k
Mukesh Soni India 22 472 1.3× 367 1.4× 324 1.6× 210 1.3× 174 1.4× 114 1.4k
Jana Shafi Saudi Arabia 25 457 1.2× 293 1.1× 260 1.3× 151 0.9× 262 2.1× 89 1.7k

Countries citing papers authored by Sabah Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Sabah Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabah Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Sabah Mohammed. A scholar is included among the top collaborators of Sabah Mohammed 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 Sabah Mohammed. Sabah Mohammed 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.
Li, Honghui, et al.. (2025). Multivariate event hypergraph diffusion model for train delay prediction. Transportation Research Part C Emerging Technologies. 182. 105390–105390.
2.
Mohammed, Sabah, et al.. (2025). Comparison of Intracranial Hemorrhages Detection Performances of Deep Learning Models on CT Images. Procedia Computer Science. 258. 3194–3202.
3.
Ebrahimi, Dariush, et al.. (2023). Fastest Route and Charging Optimization of an Electric Vehicle With Battery's Life Consideration. 39–46. 2 indexed citations
5.
Zhang, Dalin, Yumei Zhang, Hongwei Wang, et al.. (2022). Prediction of Train Station Delay Based on Multiattention Graph Convolution Network. Journal of Advanced Transportation. 2022. 1–12. 8 indexed citations
6.
Mohammed, Sabah, et al.. (2022). Prototyping the Problem Oriented Medical Record for Connected Health Based on TypeGraphQL. 2022 IEEE International Conference on Big Data (Big Data). 5322–5327. 1 indexed citations
7.
Fiaidhi, Jinan & Sabah Mohammed. (2021). Prognosis analysis of thick data: Clustering heart diseases risk groups case study. Computers & Electrical Engineering. 92. 107187–107187. 6 indexed citations
8.
Fiaidhi, Jinan, et al.. (2020). Identifying EEG Binary Limb Motor Imagery Movements using Thick Data Analytics. Asia-pacific Journal of Convergent Research Interchange. 6(9). 169–189. 3 indexed citations
9.
Jackson, Robert, et al.. (2018). Pathogen–Host Analysis Tool (PHAT): an integrative platform to analyze next-generation sequencing data. Bioinformatics. 35(15). 2665–2667. 2 indexed citations
10.
Tang, Rui, Simon Fong, Nilanjan Dey, Raymond K. Wong, & Sabah Mohammed. (2017). Cross Entropy Method Based Hybridization of Dynamic Group Optimization Algorithm. Entropy. 19(10). 533–533. 11 indexed citations
11.
Wang, Dantong, Simon Fong, Raymond K. Wong, et al.. (2017). Robust High-dimensional Bioinformatics Data Streams Mining by ODR-ioVFDT. Scientific Reports. 7(1). 43167–43167. 20 indexed citations
12.
Fong, Simon, et al.. (2015). Gesture Recognition from Data Streams of Human Motion Sensor Using Accelerated PSO Swarm Search Feature Selection Algorithm. Journal of Sensors. 2015. 1–16. 15 indexed citations
13.
Fiaidhi, Jinan & Sabah Mohammed. (2010). Adopting Personal Learning Environments for Sharing Electronic Healthcare Records. EdMedia: World Conference on Educational Media and Technology. 2010(1). 4011–4016. 1 indexed citations
14.
Fiaidhi, Jinan & Sabah Mohammed. (2008). Detecting Some Collaborative Academic Indicators Based on Social Networks: A DBLP Case Study. EdMedia: World Conference on Educational Media and Technology. 2008(1). 6150–6157. 1 indexed citations
15.
Fiaidhi, Jinan & Sabah Mohammed. (2006). A framework for semantic transcoding of multimedia learning objects. International Conference on Telecommunications. 13–18. 3 indexed citations
16.
Mohammed, Sabah, et al.. (2006). Developing filtering techniques for securing vector graphics images applied to ubiquitous patient records. International Conference on Telecommunications. 139–144. 1 indexed citations
17.
Fiaidhi, Jinan & Sabah Mohammed. (2006). Collaborative virtual learning model for web intelligence.
18.
Fiaidhi, Jinan, et al.. (2005). Developing a SAX Filtering Intermediary Service for Protecting SVG Multimedia Contents in a Ubiquitous Publish/Subscribe Environment.. International Conference on Internet Computing. 515–521. 2 indexed citations
19.
Fiaidhi, Jinan, Kalpdrum Passi, & Sabah Mohammed. (2004). Developing a Framework for Learning Objects Search Engine.. International Conference on Internet Computing. 55(4). 610–616. 2 indexed citations
20.
Fiaidhi, Jinan, Sabah Mohammed, & Zuhoor Al-Khanjari. (2003). Designing a vortal for detecting Java programs cyberplagiarism. International Conference on Internet Computing. 252–256. 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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