Regina Padmanabhan

683 total citations
30 papers, 415 citations indexed

About

Regina Padmanabhan is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Oncology. According to data from OpenAlex, Regina Padmanabhan has authored 30 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Anesthesiology and Pain Medicine, 8 papers in Critical Care and Intensive Care Medicine and 5 papers in Oncology. Recurrent topics in Regina Padmanabhan's work include Anesthesia and Sedative Agents (9 papers), Intensive Care Unit Cognitive Disorders (8 papers) and Anesthesia and Neurotoxicity Research (4 papers). Regina Padmanabhan is often cited by papers focused on Anesthesia and Sedative Agents (9 papers), Intensive Care Unit Cognitive Disorders (8 papers) and Anesthesia and Neurotoxicity Research (4 papers). Regina Padmanabhan collaborates with scholars based in Qatar, United States and Belgium. Regina Padmanabhan's co-authors include Nader Meskin, Wassim M. Haddad, Tamer Khattab, Mujahed Shraim, Mohammed Al‐Hitmi, Semir Vranić, Ala‐Eddin Al Moustafa, Adel Elomri, Ala‐Eddin Al Moustafa and Halima El Omri and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Medical Internet Research and Cancers.

In The Last Decade

Regina Padmanabhan

24 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Regina Padmanabhan Qatar 11 89 76 63 52 52 30 415
Zijian Kang China 10 112 1.3× 52 0.7× 114 1.8× 113 2.2× 1 0.0× 20 750
Jianhui Li China 10 9 0.1× 64 0.8× 28 0.4× 21 0.4× 12 0.2× 49 457
Soroush Safaei New Zealand 9 14 0.2× 13 0.2× 23 0.4× 68 1.3× 2 0.0× 29 342
Shuang Xu China 13 13 0.1× 130 1.7× 18 0.3× 102 2.0× 27 636
Yingxiang Huang United States 8 7 0.1× 37 0.5× 142 2.3× 197 3.8× 2 0.0× 12 664
Holly Wiberg United States 9 15 0.2× 48 0.6× 169 2.7× 21 0.4× 11 474
Alexey Solovyev United States 10 28 0.3× 9 0.1× 46 0.7× 66 1.3× 19 420
Zirun Zhao United States 11 11 0.1× 103 1.4× 117 1.9× 43 0.8× 2 0.0× 21 553
Akram Mohammed United States 12 4 0.0× 40 0.5× 93 1.5× 132 2.5× 2 0.0× 28 459

Countries citing papers authored by Regina Padmanabhan

Since Specialization
Citations

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

Fields of papers citing papers by Regina Padmanabhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Regina Padmanabhan

This figure shows the co-authorship network connecting the top 25 collaborators of Regina Padmanabhan. A scholar is included among the top collaborators of Regina Padmanabhan 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 Regina Padmanabhan. Regina Padmanabhan 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.
Padmanabhan, Regina, et al.. (2025). An integrated Artificial Intelligence and optimization model for operational efficiency and risk reduction in Letter of Credit examination process. Decision Analytics Journal. 14. 100552–100552. 2 indexed citations
2.
Padmanabhan, Regina, et al.. (2025). Impact of Additive Manufacturing on Spare Parts Inventory Management. Procedia Computer Science. 253. 874–881.
3.
Padmanabhan, Regina, et al.. (2025). Smart food supply chain management: A bibliometric and systematic review. Food and Humanity. 5. 100736–100736. 2 indexed citations
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Padmanabhan, Regina, et al.. (2025). AI driven transformation in trade finance: A roadmap for automating letter of credit document examination. Econstor (Econstor). 5(2). 100130–100130.
6.
Padmanabhan, Regina, et al.. (2025). Assessing transformative procurement maturity: A general framework using a fuzzy model. Journal of Open Innovation Technology Market and Complexity. 11(3). 100622–100622.
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Padmanabhan, Regina, et al.. (2023). An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection. Studies in health technology and informatics. 305. 265–268. 4 indexed citations
10.
Omri, Halima El, Regina Padmanabhan, Ruba Y. Taha, et al.. (2023). Dissecting bloodstream infections in febrile neutropenic patients with hematological malignancies, a decade-long single center retrospective observational study (2009–2019). Journal of Infection and Public Health. 17(1). 152–162. 10 indexed citations
11.
Padmanabhan, Regina, et al.. (2023). Machine Learning for Diagnosis and Screening of Chronic Lymphocytic Leukemia Using Routine Complete Blood Count (CBC) Results. Studies in health technology and informatics. 305. 279–282. 2 indexed citations
12.
Padmanabhan, Regina, Ishita Gupta, Nader Meskin, et al.. (2022). Quantification of the growth suppression of HER2+ breast cancer colonies under the effect of trastuzumab and PD-1/PD-L1 inhibitor. Frontiers in Oncology. 12. 977664–977664. 10 indexed citations
13.
Elomri, Adel, Marwa Qaraqe, Regina Padmanabhan, et al.. (2022). A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects. Journal of Medical Internet Research. 24(7). e36490–e36490. 31 indexed citations
14.
Padmanabhan, Regina, Nader Meskin, Tamer Khattab, Mujahed Shraim, & Mohammed Al‐Hitmi. (2021). Reinforcement learning-based decision support system for COVID-19. Biomedical Signal Processing and Control. 68. 102676–102676. 26 indexed citations
15.
Padmanabhan, Regina, et al.. (2021). A review of mathematical model-based scenario analysis and interventions for COVID-19. Computer Methods and Programs in Biomedicine. 209. 106301–106301. 41 indexed citations
16.
Padmanabhan, Regina, et al.. (2020). Crosstalk between HER2 and PD-1/PD-L1 in Breast Cancer: From Clinical Applications to Mathematical Models. Cancers. 12(3). 636–636. 40 indexed citations
17.
Padmanabhan, Regina, Nader Meskin, & Wassim M. Haddad. (2019). Optimal adaptive control of drug dosing using integral reinforcement learning. Mathematical Biosciences. 309. 131–142. 27 indexed citations
18.
Padmanabhan, Regina, Nader Meskin, & Wassim M. Haddad. (2017). Reinforcement learning-based control for combined infusion of sedatives and analgesics. Qatar University QSpace (Qatar University). 505–509. 6 indexed citations
19.
Padmanabhan, Regina, Nader Meskin, & Wassim M. Haddad. (2017). Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment. Mathematical Biosciences. 293. 11–20. 73 indexed citations
20.
Padmanabhan, Regina, Nader Meskin, & Wassim M. Haddad. (2017). LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT. IFAC-PapersOnLine. 50(1). 15127–15132. 10 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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