Feras A. Batarseh

1.3k total citations
52 papers, 439 citations indexed

About

Feras A. Batarseh is a scholar working on Artificial Intelligence, Information Systems and Economics and Econometrics. According to data from OpenAlex, Feras A. Batarseh has authored 52 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Economics and Econometrics. Recurrent topics in Feras A. Batarseh's work include Adversarial Robustness in Machine Learning (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Software Engineering Research (7 papers). Feras A. Batarseh is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Software Engineering Research (7 papers). Feras A. Batarseh collaborates with scholars based in United States, Jordan and Iran. Feras A. Batarseh's co-authors include Avelino J. González, Ajay Kulkarni, Chih‐Hao Huang, Laura E. Beane Freeman, Munisamy Gopinath, Po‐Hsuan Su, Reza Ovissipour, Mohammad Zarei, Abbas Rohani and Amin Nikkhah and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Access.

In The Last Decade

Feras A. Batarseh

47 papers receiving 426 citations

Peers

Feras A. Batarseh

MIS

CNC

Michal Greguš Slovakia

Chantal D. Larose United States

Saikat Gochhait India

Anil Jadhav India

Karthikeyan Kaliyaperumal Ethiopia

A. A. Abd El-Aziz Saudi Arabia

Paulo Alencar Canada

Kareem Abbas Dawood Malaysia

Roseline Oluwaseun Ogundokun Nigeria

M. Omair Shafiq Canada

Michal Greguš Slovakia

Feras A. Batarseh

123 ×1.0

48 ×0.7

39 ×0.8

MIS

58 ×1.3

CNC

24 ×0.6

Citations per year, relative to Feras A. Batarseh Feras A. Batarseh (= 1×) peers Michal Greguš

Countries citing papers authored by Feras A. Batarseh

Since Specialization

Citations

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

Fields of papers citing papers by Feras A. Batarseh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feras A. Batarseh. 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 Feras A. Batarseh. The network helps show where Feras A. Batarseh may publish in the future.

Co-authorship network of co-authors of Feras A. Batarseh

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

All Works

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20 of 20 papers shown

Ebaid, Munzer S. Y., Ayoup M. Ghrair, Feras A. Batarseh, James Roscow, & Chris Bowen. (2024). Exploring cooling of PV panels based on metallic and nonmetallic nanofluids: An experimental study. Advances in Mechanical Engineering. 16(1). 2 indexed citations

Batarseh, Feras A., et al.. (2024). Understanding the Landscape of Cyberbiosecurity for Integrative Educational Programming. Journal of the ASABE. 67(1). 207–217. 1 indexed citations

Brown, Anne M., et al.. (2024). Cyberbiosecurity Workforce Preparation. 67(1). 1 indexed citations

Huang, Chih‐Hao, et al.. (2024). Data-driven healthcare indicators via precision gaming: With application to India. SHILAP Revista de lepidopterología. 6. 1 indexed citations

Gopinath, Munisamy, et al.. (2024). Deploying Machine Learning Methods to Predict Global Trade Patterns: The Case of Beef. Journal of the ASABE. 67(1). 219–232. 1 indexed citations

Batarseh, Feras A., et al.. (2024). NeuralFlood: An AI-Driven Flood Susceptibility Index. Proceedings of the AAAI Symposium Series. 2(1). 94–101. 1 indexed citations

Kulkarni, Ajay, et al.. (2024). Toward Identifying Cyber Dependencies in Water Distribution Systems Using Causal AI. Journal of Water Resources Planning and Management. 151(2).

Luther, Kurt, et al.. (2023). Human-in-the-loop for computer vision assurance: A survey. Engineering Applications of Artificial Intelligence. 123. 106376–106376. 9 indexed citations

Nikkhah, Amin, Abbas Rohani, Mohammad Zarei, et al.. (2023). Toward sustainable culture media: Using artificial intelligence to optimize reduced-serum formulations for cultivated meat. The Science of The Total Environment. 894. 164988–164988. 39 indexed citations

10.

Elliott, E. Donald, et al.. (2023). Deep H2O: Cyber attacks detection in water distribution systems using deep learning. Journal of Water Process Engineering. 52. 103568–103568. 17 indexed citations

11.

Gopinath, Munisamy, et al.. (2023). Anomalies in agricultural trade: A Bayesian classifier approach. 2(3). 402–427. 3 indexed citations

12.

Batarseh, Feras A., et al.. (2023). NeuralFlood: an AI-driven flood susceptibility index. Frontiers in Water. 5. 8 indexed citations

13.

Nguyen, Minh N. H., et al.. (2022). Trustworthy AI Solutions for Cyberbiosecurity Challenges in Water Supply Systems. SHILAP Revista de lepidopterología. 35. 2 indexed citations

14.

Batarseh, Feras A., et al.. (2022). Model-Agnostic Scoring Methods for Artificial Intelligence Assurance. 9–18. 2 indexed citations

15.

Batarseh, Feras A., et al.. (2021). The application of artificial intelligence in software engineering: a\n review challenging conventional wisdom. arXiv (Cornell University). 2 indexed citations

16.

Huang, Chih‐Hao, et al.. (2021). Measuring outcomes in healthcare economics using Artificial Intelligence: With application to resource management. SHILAP Revista de lepidopterología. 3. 9 indexed citations

17.

Batarseh, Feras A., et al.. (2020). Clustering by periodontitis‐associated factors: A novel application to NHANES data. Journal of Periodontology. 92(8). 1136–1150. 21 indexed citations

18.

Batarseh, Feras A., et al.. (2020). Preventive healthcare policies in the US: solutions for disease management using Big Data Analytics. Journal Of Big Data. 7(1). 38–38. 25 indexed citations

19.

Batarseh, Feras A., et al.. (2018). Geo-Enabled Text Analytics through Sentiment Scoring and Hierarchical Clustering. 1–4. 1 indexed citations

20.

Batarseh, Feras A., et al.. (2015). Assessing the Quality of Service Using Big Data Analytics. Big Data Research. 4. 13–24. 53 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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