Adnan Khan

978 citations
55 papers · 538 indexed · 1 hit paper · h-index 13
Topics
COVID-19 epidemiological studies (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)Influenza Virus Research Studies (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEStroke

In The Last Decade

Adnan Khan

47 papers receiving 518 citations

Hit Papers

Novel approximations to the fourth-order fractional Cahn–...20252026202551015

Peers

Adnan Khan
Comparison fields: 5 of 120
  • Modeling and Simulation 242
  • Public Health, Environmental and Occupational Health 175
  • Infectious Diseases 161
  • Epidemiology 84
  • Genetics 40
Replace Tiantian Wu with:
Tiantian Wu China
Benjamin Collyer United Kingdom
Nahid Bhadelia United States
Varsha Potdar India
Matt D. T. Hitchings United States
Caroline Guerrisi France
Olalekan John Okesanya Nigeria
Jane Cunningham Switzerland
Kishor Kumar Paul Bangladesh
Caroline S. Brown Netherlands
Adnan Khan relative to Tiantian Wu China Tiantian Wu's profile →
Citations per field
00.5×10×15×21×
Tiantian Wu · 1×
Citations per year

Countries citing papers authored by Adnan Khan

Since Specialization
Citations

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

Fields of papers citing papers by Adnan Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adnan Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Khan. A scholar is included among the top collaborators of Adnan Khan 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 Adnan Khan. Adnan Khan 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
#WorkIndexed citations
1 3
2
Novel approximations to the fourth-order fractional Cahn–Hillard equations: Application to the Tantawy Technique and other two techniques with Yang transformbreakdown →
18
3 0
4 1
5 1
6 1
7 1
8 2
9 0
10 1
11 0
12 1
13 3
14 10
15 43
16 65
17 22
18 7
19 16
20 13

About Adnan Khan

Adnan Khan is a scholar working on Modeling and Simulation, Fuel Technology and Health Informatics, having authored 55 papers that have together received 538 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Modeling and Simulation (242 citations), Health Informatics (18 citations) and Infectious Diseases (161 citations). Adnan Khan has collaborated with scholars based in Pakistan, United States and Kuwait. Frequent co-authors include Mudassar Imran, Muhammad Radzi Abu Hassan, Muhammad Usman, Muhammad Altaf Khan, Saeed Islam, Ebenezer Bonyah, Kazeem O. Okosun, Kashif Ali, Ali Ansari and David J. Kelvin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

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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