Ibrahim Iblan

860 citations
13 papers · 281 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • COVID-19 epidemiological studies

Papers in

Ibrahim Iblan

13 papers receiving 273 citations

Peers

Ibrahim Iblan
Comparison fields: 5 of 58
  • Infectious Diseases 170
  • Modeling and Simulation 43
  • Animal Science and Zoology 31
  • Speech and Hearing 18
  • Obstetrics and Gynecology 13
Replace Mayan Gilboa with:
Mayan Gilboa Israel
Janneke D. M. Verberk Netherlands
Jordan Cates United States
Camille Genecand Switzerland
Akitoshi Ueno Japan
Håkon Bøås Norway
Cynthia Y. Tang United States
Yannick Vande Weygaerde Belgium
Chung‐Chen Li Taiwan
Ketaki Sharma Australia
Ibrahim Iblan relative to Mayan Gilboa Israel Mayan Gilboa's profile →
Citations per field
00.5×10.7×
Mayan Gilboa · 1×
Citations per year

Countries citing papers authored by Ibrahim Iblan

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim Iblan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ibrahim Iblan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ibrahim Iblan Line = papers co-authored together Ibrahim Iblan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2016144
2 201722
3 201719
4 201718
5 201816
6 201812
7 201811
8 201910
9 20199
10 20197
11 20137
12 20185
13 20131

About Ibrahim Iblan

Ibrahim Iblan is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, General Health Professions, Animal Science and Zoology and Speech and Hearing, having authored 13 papers that have together received 281 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Zoonotic diseases and public health (2 papers), Noise Effects and Management (2 papers), Viral Infections and Outbreaks Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Travel-related health issues (2 papers), Public Health Policies and Education (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (170 citations), Modeling and Simulation (43 citations), Animal Science and Zoology (31 citations), Speech and Hearing (18 citations) and Obstetrics and Gynecology (13 citations). Ibrahim Iblan has collaborated with scholars based in Jordan, United States and Tunisia. Frequent co-authors include Mohannad Al Nsour, Brian Rha, Sultan Alqasrawi, Tarek Alsanouri, Susan I. Gerber, Daniel C. Payne, Aktham Haddadin, Sami Sheikh Ali, Azaibi Tamin and Congrong Miao. Their work appears in journals such as JMIR Public Health and Surveillance, JMIR Medical Education, Journal of Medical Virology, INQUIRY The Journal of Health Care Organization Provision and Financing and Translational Behavioral Medicine.

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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