Mohamad Hoda

538 total citations
15 papers, 340 citations indexed

About

Mohamad Hoda is a scholar working on Rehabilitation, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Mohamad Hoda has authored 15 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Rehabilitation, 4 papers in Pathology and Forensic Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Mohamad Hoda's work include Stroke Rehabilitation and Recovery (7 papers), Virtual Reality Applications and Impacts (3 papers) and Spine and Intervertebral Disc Pathology (3 papers). Mohamad Hoda is often cited by papers focused on Stroke Rehabilitation and Recovery (7 papers), Virtual Reality Applications and Impacts (3 papers) and Spine and Intervertebral Disc Pathology (3 papers). Mohamad Hoda collaborates with scholars based in Canada, United Arab Emirates and Saudi Arabia. Mohamad Hoda's co-authors include Abdulmotaleb El Saddik, Alexandra Stratton, Stephen Kingwell, Philippe Phan, Eugene K. Wai, Nader Fallah, Carly S. Rivers, Jérôme Paquet, Atif Alamri and Ghulam Muhammad and has published in prestigious journals such as IEEE Access, The Spine Journal and Telematics and Informatics.

In The Last Decade

Mohamad Hoda

14 papers receiving 327 citations

Peers

Mohamad Hoda

AI

PFM

SURGE

REHAB

BE

Andrew Moss United Kingdom

Maryam Hadizadeh Malaysia

Vlad Ciobanu Romania

Marcel Młyńczak Poland

Mario Merone Italy

Hubert Kordylewski United States

Abdulfattah S. Mashat Saudi Arabia

Arturo Moncada‐Torres Netherlands

Vassilis Kilintzis Greece

Ikram Chairi Morocco

Andrew Moss United Kingdom

Mohamad Hoda

25 ×0.3

AI

109 ×1.9

PFM

44 ×0.8

SURGE

42 ×0.8

REHAB

33 ×0.8

BE

Citations per year, relative to Mohamad Hoda Mohamad Hoda (= 1×) peers Andrew Moss

Countries citing papers authored by Mohamad Hoda

Since Specialization

Citations

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

Fields of papers citing papers by Mohamad Hoda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamad Hoda

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

All Works

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15 of 15 papers shown

1.

Hoda, Mohamad, et al.. (2024). EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation. 1–6.

2.

Hoda, Mohamad, et al.. (2022). A Review on Industrial Blockchain. 219–230. 3 indexed citations

3.

Hoda, Mohamad, et al.. (2021). Using a national surgical database to predict complications following posterior lumbar surgery and comparing the area under the curve and F1-score for the assessment of prognostic capability. The Spine Journal. 21(7). 1135–1142. 66 indexed citations

4.

Hoda, Mohamad, et al.. (2020). Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation. IEEE Access. 8. 101840–101858. 114 indexed citations

5.

Phan, Philippe, et al.. (2019). Impact of resident involvement on cervical and lumbar spine surgery outcomes. The Spine Journal. 19(12). 1905–1910. 22 indexed citations

6.

Hoda, Mohamad, Carly S. Rivers, Eugene K. Wai, et al.. (2019). Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients. The Spine Journal. 20(2). 213–224. 64 indexed citations

7.

Hoda, Mohamad, Abdulmotaleb El Saddik, Eugene K. Wai, & Philippe Phan. (2019). Predicting Spine Surgery Complications Using Machine Learning. 49–53. 2 indexed citations

8.

Hoda, Mohamad, et al.. (2018). Soccer Fans Sentiment through the Eye of Big Data: The UEFA Champions League as a Case Study. 3. 244–250. 9 indexed citations

9.

Hossain, M. Shamim, Mohamad Hoda, Ghulam Muhammad, Ahmad Almogren, & Atif Alamri. (2017). Cloud-supported framework for patients in post-stroke disability rehabilitation. Telematics and Informatics. 35(4). 826–836. 14 indexed citations

10.

Hoda, Mohamad, et al.. (2017). Predicting muscle forces measurements from kinematics data using kinect in stroke rehabilitation. Multimedia Tools and Applications. 77(2). 1885–1903. 6 indexed citations

11.

Hoda, Mohamad, et al.. (2015). A Novel Study on Natural Robotic Rehabilitation Exergames Using the Unaffected Arm of Stroke Patients. International Journal of Distributed Sensor Networks. 11(6). 590584–590584. 8 indexed citations

12.

Hoda, Mohamad, et al.. (2015). Haptic glove for finger rehabilitation. 82. 1–6. 5 indexed citations

13.

Hoda, Mohamad, et al.. (2015). Cloud-based rehabilitation and recovery prediction system for stroke patients. Cluster Computing. 18(2). 803–815. 13 indexed citations

14.

Hoda, Mohamad, et al.. (2014). Cloud-based rehabilitation exergames system. 1–6. 7 indexed citations

15.

Hoda, Mohamad, et al.. (2013). Evaluating Player Experience in Cycling Exergames. 415–420. 7 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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