Mohammad T. Khasawneh

2.1k total citations
117 papers, 1.4k citations indexed

About

Mohammad T. Khasawneh is a scholar working on Emergency Medical Services, Industrial and Manufacturing Engineering and Emergency Medicine. According to data from OpenAlex, Mohammad T. Khasawneh has authored 117 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Emergency Medical Services, 21 papers in Industrial and Manufacturing Engineering and 17 papers in Emergency Medicine. Recurrent topics in Mohammad T. Khasawneh's work include Healthcare Operations and Scheduling Optimization (28 papers), Healthcare Policy and Management (12 papers) and Hospital Admissions and Outcomes (11 papers). Mohammad T. Khasawneh is often cited by papers focused on Healthcare Operations and Scheduling Optimization (28 papers), Healthcare Policy and Management (12 papers) and Hospital Admissions and Outcomes (11 papers). Mohammad T. Khasawneh collaborates with scholars based in United States, Thailand and Jordan. Mohammad T. Khasawneh's co-authors include Shannon R. Bowling, Sittichai Kaewkuekool, Byung Rae Cho, Sreenath Chalil Madathil, Salih Tutun, Sang Won Yoon, Omar Al-Araidah, Bichen Zheng, Sarah S. Lam and Anand K. Gramopadhye and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Mohammad T. Khasawneh

105 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad T. Khasawneh United States 20 244 242 173 161 160 117 1.4k
Mohammad Mehdi Sepehri Iran 24 216 0.9× 178 0.7× 140 0.8× 126 0.8× 124 0.8× 124 1.6k
Ann M. Bisantz United States 27 429 1.8× 274 1.1× 68 0.4× 71 0.4× 67 0.4× 140 3.1k
Nan Kong United States 24 123 0.5× 183 0.8× 171 1.0× 186 1.2× 129 0.8× 135 1.8k
Lampros Stergioulas United Kingdom 25 392 1.6× 181 0.7× 353 2.0× 149 0.9× 382 2.4× 106 3.3k
Zoie Shui-Yee Wong Japan 19 227 0.9× 61 0.3× 91 0.5× 78 0.5× 55 0.3× 73 1.4k
Yuehwern Yih United States 31 238 1.0× 461 1.9× 1.1k 6.6× 175 1.1× 222 1.4× 146 2.8k
Lalit Garg Malta 22 321 1.3× 195 0.8× 47 0.3× 110 0.7× 141 0.9× 124 1.8k
Ellen J. Bass United States 21 182 0.7× 279 1.2× 57 0.3× 85 0.5× 47 0.3× 173 1.7k
Jerrold H. May United States 26 266 1.1× 1.1k 4.6× 146 0.8× 368 2.3× 271 1.7× 70 2.3k
Simon J. E. Taylor United Kingdom 23 127 0.5× 360 1.5× 269 1.6× 170 1.1× 480 3.0× 193 2.1k

Countries citing papers authored by Mohammad T. Khasawneh

Since Specialization
Citations

This map shows the geographic impact of Mohammad T. 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 Mohammad T. Khasawneh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad T. Khasawneh more than expected).

Fields of papers citing papers by Mohammad T. Khasawneh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad T. Khasawneh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad T. Khasawneh. A scholar is included among the top collaborators of Mohammad T. 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 Mohammad T. Khasawneh. Mohammad T. 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.
Wang, Yong, et al.. (2025). GPT-4o in radiology: In-context learning based automatic generation of radiology impressions. SHILAP Revista de lepidopterología. 11. 100145–100145.
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Khasawneh, Mohammad T., et al.. (2023). S3LR: Novel feature selection approach for Microarray-Based breast cancer recurrence prediction. Expert Systems with Applications. 241. 122457–122457. 2 indexed citations
5.
Nath, Fatick, et al.. (2023). A Hands-on Introductory Course to Increase Interest in the Petroleum Engineering Workforce: A Case Study. SPE Annual Technical Conference and Exhibition.
6.
Ladbury, Colton, Richard Li, Jason Liu, et al.. (2023). Explainable Artificial Intelligence to Identify Dosimetric Predictors of Toxicity in Patients with Locally Advanced Non-Small Cell Lung Cancer: A Secondary Analysis of RTOG 0617. International Journal of Radiation Oncology*Biology*Physics. 117(5). 1287–1296. 17 indexed citations
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Wang, Yong, et al.. (2022). Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting. Neural Computing and Applications. 34(17). 14971–15005. 3 indexed citations
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Carpenter, Kent E., Mohammad T. Khasawneh, Robin R. Chamberland, et al.. (2022). Cryptococcal chest wall mass and rib osteomyelitis associated with the use of fingolimod: A case report and literature review. Frontiers in Medicine. 9. 942751–942751. 9 indexed citations
10.
Khasawneh, Mohammad T., et al.. (2021). Clinical and radiological manifestations of Covid 2019 patients admitted to al-karak governmental hospital in south Jordan. 25(110). 859–867. 1 indexed citations
11.
Yang, Jinyu, et al.. (2021). Rules of incidental operation risk propagation in metro networks under fully automatic operations mode. PLoS ONE. 16(12). e0261436–e0261436.
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Madathil, Sreenath Chalil, et al.. (2020). Post-Operative Infection Prediction and Risk Factor Analysis in Colorectal Surgery Using Data Mining Techniques: A Pilot Study. Surgical Infections. 21(9). 784–792. 12 indexed citations
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Khasawneh, Mohammad T., et al.. (2020). G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays. Artificial Intelligence in Medicine. 108. 101941–101941. 33 indexed citations
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Booth, Amy E., et al.. (2019). New feature selection methods based on opposition-based learning and self-adaptive cohort intelligence for predicting patient no-shows. Applied Soft Computing. 86. 105866–105866. 41 indexed citations
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Aqlan, Faisal, et al.. (2017). An ergonomic study of body motions during Muslim prayer using digital human modelling. International Journal of Industrial and Systems Engineering. 25(3). 279–296. 3 indexed citations
17.
Bowling, Shannon R., Mohammad T. Khasawneh, Sittichai Kaewkuekool, & Byung Rae Cho. (2009). A logistic approximation to the cumulative normal distribution. SHILAP Revista de lepidopterología. 59 indexed citations
18.
Jiang, Xiaochun, et al.. (2005). Measurement of trust over time in hybrid inspection systems: Research Articles. Human Factors and Ergonomics in Manufacturing & Service Industries. 15(2). 177–196. 1 indexed citations
19.
Jiang, Xiaochun, et al.. (2004). Measurement of human trust in a hybrid inspection system based on signal detection theory measures. International Journal of Industrial Ergonomics. 34(5). 407–419. 16 indexed citations
20.
Khasawneh, Mohammad T., et al.. (2002). Efficiency tests and volatility effects: evidence from the Jordanian stock market. Applied Economics Letters. 9(12). 817–821. 16 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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