S Ebrahim

654 total citations
22 papers, 332 citations indexed

About

S Ebrahim is a scholar working on General Health Professions, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, S Ebrahim has authored 22 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 4 papers in Cognitive Neuroscience and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in S Ebrahim's work include EEG and Brain-Computer Interfaces (4 papers), Mobile Health and mHealth Applications (3 papers) and Neonatal and fetal brain pathology (2 papers). S Ebrahim is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Mobile Health and mHealth Applications (3 papers) and Neonatal and fetal brain pathology (2 papers). S Ebrahim collaborates with scholars based in United States, Canada and Netherlands. S Ebrahim's co-authors include Hera Vlamakis, James N. Wilking, Thomas E. Angelini, Agnese Seminara, Michael P. Brenner, Roberto Kolter, David A. Weitz, Pandora Pound, Patrick Gompertz and Henry Ashworth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Obstetrics and Gynecology and International Journal of Epidemiology.

In The Last Decade

S Ebrahim

20 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S Ebrahim United States	7	160	55	53	38	36	22	332
Eun Sil Choi South Korea	11	105 0.7×	7 0.1×	41 0.8×	8 0.2×	37 1.0×	39	448
María Fabiana Laguna Argentina	13	27 0.2×	29 0.5×	30 0.6×	16 0.4×	66 1.8×	54	583
Leticia Márquez-Magaña United States	16	348 2.2×	191 3.5×	21 0.4×	274 7.2×	38 1.1×	35	691
Vikash Verma India	14	267 1.7×	17 0.3×	50 0.9×	22 0.6×	8 0.2×	28	620
Yulian Li China	13	97 0.6×	18 0.3×	25 0.5×	17 0.4×	8 0.2×	40	455
Serina Stretton Australia	16	175 1.1×	94 1.7×	42 0.8×	65 1.7×	15 0.4×	25	1.0k
Thushara Galbadage United States	10	73 0.5×	25 0.5×	32 0.6×	6 0.2×	18 0.5×	19	443
Peiyi Chen China	9	123 0.8×	35 0.6×	58 1.1×	23 0.6×	9 0.3×	27	506
Mika Simonen Finland	13	270 1.7×	90 1.6×	25 0.5×	165 4.3×	44 1.2×	35	750
Susan Cohen United States	15	620 3.9×	140 2.5×	33 0.6×	352 9.3×	63 1.8×	23	1.0k

Countries citing papers authored by S Ebrahim

Since Specialization

Citations

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

Fields of papers citing papers by S Ebrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Ebrahim

This figure shows the co-authorship network connecting the top 25 collaborators of S Ebrahim. A scholar is included among the top collaborators of S Ebrahim 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 S Ebrahim. S Ebrahim 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

Ebrahim, S, et al.. (2025). Agentic AI and Ethics in Telemedicine. 10(2).

Schor, Jonathan S., Isabel Fulcher, Kartik K. Venkatesh, et al.. (2024). Using machine learning to predict the risk of developing hypertensive disorders of pregnancy using a contemporary nulliparous cohort. AJOG Global Reports. 4(4). 100386–100386. 2 indexed citations

Fulcher, Isabel, et al.. (2023). Using machine learning to predict the risk of developing gestational diabetes using a contemporary cohort. American Journal of Obstetrics and Gynecology. 228(1). S752–S753. 1 indexed citations

Ashworth, Henry, Sara Dada, S Ebrahim, et al.. (2022). Systematic review of electronic health records to manage chronic conditions among displaced populations. BMJ Open. 12(9). e056987–e056987. 6 indexed citations

Ashworth, Henry, et al.. (2022). A Free, Open-Source, Offline Digital Health System for Refugee Care. JMIR Medical Informatics. 10(2). e33848–e33848. 8 indexed citations

Wen, Timothy, et al.. (2022). Random Forests for Accurate Prediction of the Risk of Hypertensive Disorders of Pregnancy at Term [A208]. Obstetrics and Gynecology. 139(1). 60S–61S. 2 indexed citations

Ashworth, Henry, et al.. (2022). Development of an Offline, Open-Source, Electronic Health Record System for Refugee Care. Frontiers in Digital Health. 4. 847002–847002. 3 indexed citations

Naar, Leon, Lydia R. Maurer, Ander Dorken‐Gallastegi, et al.. (2022). Hospital Academic Status and the Volume-Outcome Association in Postoperative Patients Requiring Intensive Care: Results of a Nationwide Analysis of Intensive Care Units in the United States. Journal of Intensive Care Medicine. 37(12). 1598–1605. 2 indexed citations

Kalinich, Mark, S Ebrahim, Ryan Hays, et al.. (2021). Applying machine learning to smartphone based cognitive and sleep assessments in schizophrenia. Schizophrenia Research Cognition. 27. 100216–100216. 5 indexed citations

10.

Jing, Jin, S Ebrahim, Mohammad Tabaeizadeh, et al.. (2020). Rapid annotation of seizures and interictal-ictal-injury continuum EEG patterns. Journal of Neuroscience Methods. 347. 108956–108956. 2 indexed citations

11.

Ebrahim, S, et al.. (2020). Reduction of COVID-19 Incidence and Nonpharmacologic Interventions: Analysis Using a US County–Level Policy Data Set. Journal of Medical Internet Research. 22(12). e24614–e24614. 21 indexed citations

12.

Ebrahim, S, Maurice Abou Jaoude, Sunil B. Nagaraj, et al.. (2020). Accurate detection of spontaneous seizures using a generalized linear model with external validation. Epilepsia. 61(9). 1906–1918. 5 indexed citations

13.

Jing, Jin, Sahar F. Zafar, Eric S. Rosenthal, et al.. (2018). Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns. PubMed Central. 3394–3397. 8 indexed citations

14.

Celano, Christopher M., et al.. (2018). Development and Theoretical Approach to an Adaptive Text Message Program to Promote Well-Being and Health Behaviors in Primary Care Patients. The Primary Care Companion For CNS Disorders. 20(5). 5 indexed citations

15.

Jin, Jing, et al.. (2018). T70. Automatic clustering of EEG data from ICU patients. Clinical Neurophysiology. 129. e29–e29. 1 indexed citations

16.

Seminara, Agnese, Thomas E. Angelini, James N. Wilking, et al.. (2012). Osmotic spreading of Bacillus subtilis biofilms driven by an extracellular matrix. Proceedings of the National Academy of Sciences. 109(4). 1116–1121. 224 indexed citations

17.

Ebrahim, S. (2002). Health of elderly people. Bristol Research (University of Bristol). 3. 1713–1736. 5 indexed citations

18.

Anderson, John, Michael J. Baum, Lisa Bero, et al.. (2000). Music to be born to, music to die to. BMJ. 321(7276). 1577–1579. 3 indexed citations

19.

Ebrahim, S. (1992). In the Best of Health? The Status and Future of Health Care in the UK. BMJ Quality & Safety. 1(2). 143–144. 6 indexed citations

20.

Ebrahim, S, et al.. (1986). Screening the elderly: a neglected aspect of health visiting.. PubMed. 59(10). 308–10. 3 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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