Rumana Omar

11.2k total citations · 3 hit papers
126 papers, 6.9k citations indexed

About

Rumana Omar is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Statistics and Probability. According to data from OpenAlex, Rumana Omar has authored 126 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in General Health Professions, 27 papers in Public Health, Environmental and Occupational Health and 26 papers in Statistics and Probability. Recurrent topics in Rumana Omar's work include Statistical Methods and Bayesian Inference (21 papers), Statistical Methods in Clinical Trials (18 papers) and Palliative Care and End-of-Life Issues (16 papers). Rumana Omar is often cited by papers focused on Statistical Methods and Bayesian Inference (21 papers), Statistical Methods in Clinical Trials (18 papers) and Palliative Care and End-of-Life Issues (16 papers). Rumana Omar collaborates with scholars based in United Kingdom, United States and Spain. Rumana Omar's co-authors include Gareth Ambler, Menelaos Pavlou, Rebecca Turner, Shaun R. Seaman, Simon G. Thompson, Perry Elliott, Patrick Royston, Victoria Vickerstaff, Simon G. Thompson and Oliver Guttmann and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rumana Omar

121 papers receiving 6.7k citations

Hit Papers

A novel clinical risk prediction model for sudden cardiac... 2013 2026 2017 2021 2013 2015 2023 200 400 600

Peers

Rumana Omar
Comparison fields: 5 of 190
  • Cardiology and Cardiovascular Medicine 1.6k
  • General Health Professions 946
  • Psychiatry and Mental health 852
  • Epidemiology 818
  • Public Health, Environmental and Occupational Health 801
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Citations per field, relative to Rumana Omar
Rumana Omar · 1×
Citations per year, relative to Rumana Omar
Rumana Omar · 1×

Countries citing papers authored by Rumana Omar

Since Specialization
Citations

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

Fields of papers citing papers by Rumana Omar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumana Omar

This figure shows the co-authorship network connecting the top 25 collaborators of Rumana Omar. A scholar is included among the top collaborators of Rumana Omar 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 Rumana Omar. Rumana Omar 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
# Work Indexed citations
1 0
2 3
3 4
4
Safety and Efficacy of Liraglutide, 3.0 mg, Once Daily vs Placebo in Patients With Poor Weight Loss Following Metabolic Surgery breakdown →
84
5 1
6 15
7 31
8 16
9 6
10 17
11 5
12 18
13 130
14 23
15 45
16
How to develop a more accurate risk prediction model when there are few events [Correction]
0
17 28
18 127
19 23
20 9

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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