Mohammad Naiseh

465 total citations
17 papers, 182 citations indexed

About

Mohammad Naiseh is a scholar working on Artificial Intelligence, Safety Research and Social Psychology. According to data from OpenAlex, Mohammad Naiseh has authored 17 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Safety Research and 4 papers in Social Psychology. Recurrent topics in Mohammad Naiseh's work include Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (7 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Mohammad Naiseh is often cited by papers focused on Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (7 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Mohammad Naiseh collaborates with scholars based in United Kingdom, Qatar and Australia. Mohammad Naiseh's co-authors include Raian Ali, Dena Al‐Thani, Nan Jiang, Paurav Shukla, Sarvapali D. Ramchurn, Yaniv Hanoch, Mike Wald, Mario Brito, Tuğra Nazlı Akarsu and Christian Montag and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer and International Journal of Human-Computer Studies.

In The Last Decade

Mohammad Naiseh

14 papers receiving 176 citations

Peers

Mohammad Naiseh

SPS

Eric S. Vorm United States

Wiard Jorritsma Netherlands

Agathe Balayn Netherlands

Xinru Wang United States

Sambhav Gupta India

Pradyumna Tambwekar United States

Leilani H. Gilpin United States

Ricardo Thierry-Aguilera Mexico

Alexander Kriebitz Germany

Zhuoran Lu United States

Eric S. Vorm United States

Mohammad Naiseh

125 ×1.2

49 ×0.9

49 ×1.0

33 ×0.9

15 ×1.1

SPS

Citations per year, relative to Mohammad Naiseh Mohammad Naiseh (= 1×) peers Eric S. Vorm

Countries citing papers authored by Mohammad Naiseh

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Naiseh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Naiseh

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

All Works

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17 of 17 papers shown

Naiseh, Mohammad, et al.. (2025). Attitudes Towards AI: The Interplay of Self-Efficacy, Well-Being, and Competency. Journal of Technology in Behavioral Science. 10(4). 705–718. 8 indexed citations

Naiseh, Mohammad, Saqib Rahman, Samuel L. Hill, et al.. (2025). Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making. EClinicalMedicine. 89. 103527–103527.

Akarsu, Tuğra Nazlı, et al.. (2025). Steering through uncertainty: a systematic review of liability communication in autonomous vehicles. Transport Reviews. 46(2). 270–296.

Naiseh, Mohammad, et al.. (2025). Social Media Vs. Users’ Wellbeing and the Role of Personal Factors: A Study on Arab and British Samples. International Journal of Human-Computer Interaction. 41(22). 14122–14140.

Naiseh, Mohammad, et al.. (2025). Contrasting and Predicting Social Media’s Role in Addictive Use and Well-Being. Journal of Technology in Behavioral Science. 1 indexed citations

Naiseh, Mohammad, Tuğra Nazlı Akarsu, Yaniv Hanoch, et al.. (2024). Trust, risk perception, and intention to use autonomous vehicles: an interdisciplinary bibliometric review. AI & Society. 40(2). 1091–1111. 14 indexed citations

Naiseh, Mohammad, et al.. (2024). C-XAI: A conceptual framework for designing XAI tools that support trust calibration. SHILAP Revista de lepidopterología. 17. 100076–100076. 8 indexed citations

Naiseh, Mohammad, et al.. (2023). The Effect of Data Visualisation Quality and Task Density on Human-Swarm Interaction. ePrints Soton (University of Southampton). 1494–1501. 2 indexed citations

Naiseh, Mohammad & Paurav Shukla. (2023). The well-being of Autonomous Vehicles (AVs) users under uncertain situations. ePrints Soton (University of Southampton). 1–8. 4 indexed citations

10.

Naiseh, Mohammad, et al.. (2022). Trustworthy Autonomous Systems (TAS): Engaging TAS experts in curriculum design. 2022 IEEE Global Engineering Education Conference (EDUCON). 901–905. 6 indexed citations

11.

Naiseh, Mohammad, et al.. (2022). Methods, Tools and Techniques for Trustworthy Autonomous Systems (TAS) Design and Development. 66–69. 2 indexed citations

12.

Naiseh, Mohammad, Dena Al‐Thani, Nan Jiang, & Raian Ali. (2022). How Different Explanations Impact Trust Calibration: The Case of Clinical Decision Support Systems. SSRN Electronic Journal. 1 indexed citations

13.

Naiseh, Mohammad, Dena Al‐Thani, Nan Jiang, & Raian Ali. (2022). How the different explanation classes impact trust calibration: The case of clinical decision support systems. International Journal of Human-Computer Studies. 169. 102941–102941. 70 indexed citations

14.

Naiseh, Mohammad, et al.. (2021). Nudging through Friction: An Approach for Calibrating Trust in Explainable AI. 1–5. 14 indexed citations

15.

Naiseh, Mohammad, et al.. (2021). Digital Wellbeing for All: Expanding Inclusivity to Embrace Diversity in Socio-Emotional Status. Electronic workshops in computing. 6 indexed citations

16.

Naiseh, Mohammad, Dena Al‐Thani, Nan Jiang, & Raian Ali. (2021). Explainable recommendation: when design meets trust calibration. World Wide Web. 24(5). 1857–1884. 26 indexed citations

17.

Naiseh, Mohammad, et al.. (2021). Explainable Recommendations and Calibrated Trust: Two Systematic User Errors. Computer. 54(10). 28–37. 20 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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