Haitham Alabsi

422 total citations
10 papers, 130 citations indexed

About

Haitham Alabsi is a scholar working on Neurology, Critical Care and Intensive Care Medicine and Artificial Intelligence. According to data from OpenAlex, Haitham Alabsi has authored 10 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Haitham Alabsi's work include Machine Learning in Healthcare (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Long-Term Effects of COVID-19 (3 papers). Haitham Alabsi is often cited by papers focused on Machine Learning in Healthcare (3 papers), Intensive Care Unit Cognitive Disorders (3 papers) and Long-Term Effects of COVID-19 (3 papers). Haitham Alabsi collaborates with scholars based in United States. Haitham Alabsi's co-authors include Shibani S. Mukerji, William J. Mullally, David M. Systrom, Péter Novák, Donna Felsenstein, David Pilgrim, M. Brandon Westover, Sudeshna Das, Haoqi Sun and Gregory K. Robbins and has published in prestigious journals such as Stroke, Annals of Neurology and Expert Systems with Applications.

In The Last Decade

Haitham Alabsi

7 papers receiving 130 citations

Peers

Haitham Alabsi

NEURO

CCM

PMH

SURGE

ID

Shane Smyth Ireland

Monica Badve Australia

Sameer Jamal United States

Mark Philip Cassar United Kingdom

Jeffrey Zimering United States

Marjorie Cullinan United States

Zhi Dou China

Matthieu Gasnier France

Laura Campiglio Italy

Alexandre Godon France

Shane Smyth Ireland

Haitham Alabsi

66 ×0.8

NEURO

26 ×0.7

CCM

17 ×0.7

PMH

14 ×0.6

SURGE

20 ×1.0

ID

Citations per year, relative to Haitham Alabsi Haitham Alabsi (= 1×) peers Shane Smyth

Countries citing papers authored by Haitham Alabsi

Since Specialization

Citations

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

Fields of papers citing papers by Haitham Alabsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haitham Alabsi

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

All Works

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10 of 10 papers shown

1.

Carlson, Julia M., Galina Gheihman, Haitham Alabsi, et al.. (2024). Novel Post-Neurointensive Care Recovery Clinic. Neurology Clinical Practice. 15(1). e200364–e200364.

2.

Alabsi, Haitham, et al.. (2023). Neurorecovery after Critical COVID-19 Illness. Seminars in Neurology. 43(2). 312–320. 1 indexed citations

3.

Wilcox, Douglas R., Ayush Noori, Colin Magdamo, et al.. (2023). Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019. AIDS. 37(10). 1565–1571. 1 indexed citations

4.

Ge, Wendong, Haitham Alabsi, Aayushee Jain, et al.. (2022). Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study. JMIR Formative Research. 6(6). e33834–e33834. 11 indexed citations

5.

Valizadeh, Navid, Haitham Alabsi, Syed A. Quadri, et al.. (2022). Classification of neurologic outcomes from medical notes using natural language processing. Expert Systems with Applications. 214. 119171–119171. 11 indexed citations

6.

Novák, Péter, Matthew P. Giannetti, Matthew J. Hamilton, et al.. (2022). Network autonomic analysis of post-acute sequelae of COVID-19 and postural tachycardia syndrome. Neurological Sciences. 43(12). 6627–6638. 16 indexed citations

7.

Mukerji, Shibani S., Douglas R. Wilcox, Ayush Noori, et al.. (2022). 2358. Dementia and Cognitive Concerns are Risk Factors for Mortality in People with Human Immunodeficiency Virus and COVID-19. Open Forum Infectious Diseases. 9(Supplement_2).

8.

Alabsi, Haitham, et al.. (2021). Abstract P440: Inpatient Blood Pressure Variability is Associated With Mortality and Poor Functional Outcome in Patients With Intracerebral Hemorrhage. Stroke. 52(Suppl_1).

9.

Novák, Péter, Shibani S. Mukerji, Haitham Alabsi, et al.. (2021). Multisystem Involvement in Post‐Acute Sequelae of Coronavirus Disease 19. Annals of Neurology. 91(3). 367–379. 82 indexed citations

10.

Fernandes, Marta, Haoqi Sun, Aayushee Jain, et al.. (2020). Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing. JMIR Medical Informatics. 9(2). e25457–e25457. 8 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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