Rawan Abulibdeh

600 total citations · 1 hit paper
8 papers, 290 citations indexed

About

Rawan Abulibdeh is a scholar working on Information Systems, Global and Planetary Change and Computer Networks and Communications. According to data from OpenAlex, Rawan Abulibdeh has authored 8 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Global and Planetary Change and 1 paper in Computer Networks and Communications. Recurrent topics in Rawan Abulibdeh's work include IoT and Edge/Fog Computing (1 paper), Ethics in Clinical Research (1 paper) and Biomedical Ethics and Regulation (1 paper). Rawan Abulibdeh is often cited by papers focused on IoT and Edge/Fog Computing (1 paper), Ethics in Clinical Research (1 paper) and Biomedical Ethics and Regulation (1 paper). Rawan Abulibdeh collaborates with scholars based in Canada, Qatar and United Arab Emirates. Rawan Abulibdeh's co-authors include Ammar Abulibdeh, Esmat Zaidan, Moutaz Saleh, Leo Anthony Celi, Ervin Sejdić, Lanouar Charfeddine, Karen Tu, Abdelgadir Abuelgasim, Debra A. Butt and Noah Crampton and has published in prestigious journals such as PLoS ONE, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Rawan Abulibdeh

7 papers receiving 271 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions

2024 258 citations Ammar Abulibdeh, Esmat Zaidan et al. Journal of Cleaner Production profile →

Peers

Rawan Abulibdeh

IS

AI

CSA

EDUCA

HI

Marko Ranković Serbia

Chiraz Anane United Arab Emirates

Hortensia Gorski Romania

Andra-Teodora Gorski Romania

Marius Cioca Romania

Haoming Wang China

Ahmad Fadhil Yusof Malaysia

Mohammed Jaboob Oman

Dan Păun Romania

Zoë Abbie Teel United States

Marko Ranković Serbia

Rawan Abulibdeh

94 ×1.4

IS

100 ×1.6

AI

119 ×2.0

CSA

56 ×1.1

EDUCA

58 ×1.5

HI

Citations per year, relative to Rawan Abulibdeh Rawan Abulibdeh (= 1×) peers Marko Ranković

Countries citing papers authored by Rawan Abulibdeh

Since Specialization

Citations

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

Fields of papers citing papers by Rawan Abulibdeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rawan Abulibdeh

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Abulibdeh, Rawan, et al.. (2025). Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices. Journal of Cleaner Production. 503. 145394–145394. 2 indexed citations

2.

Abulibdeh, Rawan, Karen Tu, & Ervin Sejdić. (2025). Natural language processing methods for assessing social determinants of health in the electronic health records: A narrative review. Expert Systems with Applications. 284. 127928–127928. 1 indexed citations

3.

Abulibdeh, Rawan, Karen Tu, & Ervin Sejdić. (2025). Balancing Model Complexity and Clinical Deployability in Deep Learning for Sociodemographic Information Extraction. Journal of Primary Care & Community Health. 16. 3057057–3057057.

4.

Abulibdeh, Rawan, Leo Anthony Celi, & Ervin Sejdić. (2025). The illusion of safety: A report to the FDA on AI healthcare product approvals. PLOS Digital Health. 4(6). e0000866–e0000866. 8 indexed citations

5.

Abulibdeh, Rawan, et al.. (2025). Assessing the capture of sociodemographic information in electronic medical records to inform clinical decision making. PLoS ONE. 20(1). e0317599–e0317599. 1 indexed citations

6.

Abulibdeh, Ammar, et al.. (2024). A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula. Earth Systems and Environment. 9(1). 1–30. 6 indexed citations

7.

Abulibdeh, Ammar, Esmat Zaidan, & Rawan Abulibdeh. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production. 437. 140527–140527. 258 indexed citations breakdown →

8.

Abulibdeh, Rawan, et al.. (2018). Cloud, Fog, and Edge Computing: A Software Engineering Perspective. Qatar University QSpace (Qatar University). 276–284. 14 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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