İlker Etikan

11.8k citations
16 papers · 6.9k indexed · 3 hit papers · h-index 7
Topics
COVID-19 diagnosis using AI (4 papers)Artificial Intelligence in Healthcare (3 papers)COVID-19 epidemiological studies (2 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessAlexandria Engineering Journal
Partner nations
CyprusTürkiyeEthiopia

In The Last Decade

İlker Etikan

13 papers receiving 6.5k citations

Hit Papers

Comparison of Convenience Sampling and Purposive Sampling201620262019202220162017201610002.0k3.0k4.0k5.0k

Peers

İlker Etikan
Comparison fields: 5 of 204
  • Sociology and Political Science 1.5k
  • Education 996
  • General Health Professions 713
  • Social Psychology 610
  • Marketing 597
Replace Arwen Bunce with:
Arwen Bunce United States
Laura Johnson United States
Hamed Taherdoost Malaysia
Satu Elo Finland
Ivan Župič Slovenia
ศิวะพร ภู่พันธ์
Tomaž Čater Slovenia
Glenn A. Bowen United States
Nicholas P. Danks Ireland
Paul Mallery
İlker Etikan relative to Arwen Bunce United States Arwen Bunce's profile →
Citations per field
00.5×1.5×
Arwen Bunce · 1×
Citations per year

Countries citing papers authored by İlker Etikan

Since Specialization
Citations

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

Fields of papers citing papers by İlker Etikan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İlker Etikan

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 0
5 1
6 9
7 9
8 4
9 3
10 0
11 87
12 1
13
Sampling and Sampling Methodsbreakdown →
601
14 25
15
Comparison of Convenience Sampling and Purposive Samplingbreakdown →
5841
16
Comparision of Snowball Sampling and Sequential Sampling Techniquebreakdown →
321

About İlker Etikan

İlker Etikan is a scholar working on Health Information Management, Equine and Modeling and Simulation, having authored 16 papers that have together received 6.9k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Business and International Management (130 citations), Marketing (597 citations) and Information Systems and Management (402 citations). İlker Etikan has collaborated with scholars based in Cyprus, Türkiye and Ethiopia. Frequent co-authors include Kedir Hussein Abegaz, Dler Hussein Kadir, Sani I. Abba, Roozbeh Sabetvand, A. G. Usman, Nozad Hussein Mahmood, Şahan Saygı, İbrahim Çavuş, Doğan Atılgan and Martin Krämer. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Alexandria Engineering Journal.

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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