Arif Khan

3.3k total citations · 1 hit paper
77 papers, 2.0k citations indexed

About

Arif Khan is a scholar working on Artificial Intelligence, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arif Khan has authored 77 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Epidemiology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arif Khan's work include Chronic Disease Management Strategies (9 papers), Graph Theory and Algorithms (9 papers) and Machine Learning in Healthcare (7 papers). Arif Khan is often cited by papers focused on Chronic Disease Management Strategies (9 papers), Graph Theory and Algorithms (9 papers) and Machine Learning in Healthcare (7 papers). Arif Khan collaborates with scholars based in Australia, United Kingdom and United States. Arif Khan's co-authors include Shahadat Uddin, Md Ekramul Hossain, Mohammad Ali Moni, Uma Srinivasan, Mahantesh Halappanavar, Nahin Hussain, Louise A. Baur, Matloob Khushi, Alex Pothen and F Walker and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Arif Khan

72 papers receiving 2.0k citations

Hit Papers

Comparing different supervised machine learning algorithm... 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arif Khan Australia 17 566 382 239 230 207 77 2.0k
Md Manjurul Ahsan United States 18 530 0.9× 254 0.7× 138 0.6× 317 1.4× 140 0.7× 45 1.8k
Leila Shahmoradi Iran 23 511 0.9× 463 1.2× 147 0.6× 171 0.7× 101 0.5× 122 2.1k
Guotong Xie China 23 616 1.1× 149 0.4× 239 1.0× 413 1.8× 237 1.1× 172 1.8k
Stephan Dreiseitl Austria 15 803 1.4× 215 0.6× 247 1.0× 360 1.6× 246 1.2× 41 2.6k
Gopi Battineni Italy 26 775 1.4× 333 0.9× 179 0.7× 377 1.6× 99 0.5× 96 3.0k
You Chen United States 24 614 1.1× 398 1.0× 188 0.8× 113 0.5× 174 0.8× 140 2.1k
Sanjay Purushotham United States 16 1.3k 2.2× 296 0.8× 224 0.9× 216 0.9× 94 0.5× 50 2.4k
Lucia Sacchi Italy 26 593 1.0× 455 1.2× 173 0.7× 140 0.6× 587 2.8× 129 2.5k
Sooyoung Yoo South Korea 23 268 0.5× 317 0.8× 176 0.7× 88 0.4× 136 0.7× 127 1.8k
William J. Long United States 31 669 1.2× 248 0.6× 232 1.0× 141 0.6× 392 1.9× 215 3.6k

Countries citing papers authored by Arif Khan

Since Specialization
Citations

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

Fields of papers citing papers by Arif Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arif Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Arif Khan. A scholar is included among the top collaborators of Arif 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 Arif Khan. Arif 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
1.
Uddin, Shahadat, Arif Khan, & Haohui Lu. (2023). Impact of COVID-19 on Journal Impact Factor. Journal of Informetrics. 17(4). 101458–101458. 2 indexed citations
2.
Lu, Haohui, et al.. (2022). A machine learning software tool for multiclass classification. Software Impacts. 13. 100383–100383. 5 indexed citations
3.
Uddin, Shahadat, et al.. (2022). Suburban Road Networks to Explore COVID-19 Vulnerability and Severity. International Journal of Environmental Research and Public Health. 19(4). 2039–2039. 11 indexed citations
4.
Uddin, Shahadat, et al.. (2022). Comparing the Impact of Road Networks on COVID-19 Severity between Delta and Omicron Variants: A Study Based on Greater Sydney (Australia) Suburbs. International Journal of Environmental Research and Public Health. 19(11). 6551–6551. 5 indexed citations
5.
Hossain, Md Ekramul, Shahadat Uddin, & Arif Khan. (2020). Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Systems with Applications. 164. 113918–113918. 61 indexed citations
6.
Hossain, Md Ekramul, Shahadat Uddin, Arif Khan, & Mohammad Ali Moni. (2020). A Framework to Understand the Progression of Cardiovascular Disease for Type 2 Diabetes Mellitus Patients Using a Network Approach. International Journal of Environmental Research and Public Health. 17(2). 596–596. 17 indexed citations
7.
Khan, Arif, Shahadat Uddin, & Uma Srinivasan. (2019). Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. Expert Systems with Applications. 136. 230–241. 46 indexed citations
8.
Hossain, Md Ekramul, Arif Khan, Mohammad Ali Moni, & Shahadat Uddin. (2019). Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(2). 745–758. 45 indexed citations
9.
Uddin, Shahadat, Arif Khan, Md Ekramul Hossain, & Mohammad Ali Moni. (2019). Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics and Decision Making. 19(1). 281–281. 1024 indexed citations breakdown →
10.
Khan, Arif, Shahadat Uddin, & Uma Srinivasan. (2018). Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. International Journal of Medical Informatics. 115. 1–9. 79 indexed citations
11.
Rizvi, Meher, et al.. (2017). Assessment of Direct Cost of Treatment of Ischemic Heart Disease Patient in Tertiary Care Hospital in Karachi. Journal of Bioequivalence & Bioavailability. 9(2). 4 indexed citations
12.
Khan, Arif, Shahadat Uddin, & Uma Srinivasan. (2016). Understanding chronic disease comorbidities from baseline networks. Proceedings of the Australasian Computer Science Week Multiconference. 1–9. 3 indexed citations
13.
Khan, Arif, et al.. (2015). Journal of Rural Development & Administration: A Bibliometric Study. Journal of Rural and Development.
14.
Khan, Arif, et al.. (2013). Electroencephalogram after first unprovoked seizure in children: Routine, unnecessary or case specific. Journal of Pediatric Neurosciences. 8(1). 1–1. 2 indexed citations
15.
Khan, Arif, David F. Gleich, Alex Pothen, & Mahantesh Halappanavar. (2012). A multithreaded algorithm for network alignment via approximate matching. IEEE International Conference on High Performance Computing, Data, and Analytics. 1–11. 14 indexed citations
16.
Khan, Arif, Nahin Hussain, & Jayaprakash Gosalakkal. (2012). Post-pump chorea: Choreoathetosis after cardiac surgery with hypothermia and extracorporeal circulation. Journal of Pediatric Neurology. 10(1). 57–61. 5 indexed citations
17.
Khan, Arif, et al.. (2012). Agenesis of the Internal Carotid Artery Associated With Ipsilateral Horner Syndrome in a Child. Pediatric Neurology. 47(1). 68–70. 2 indexed citations
18.
Khan, Arif, Ganesan Subramanian, Manish Arora, & Nahin Hussain. (2012). Life Threatening Complication of Sore Throat: Lemierre’s Syndrome. The Indian Journal of Pediatrics. 80(12). 1059–1061. 5 indexed citations
19.
Khan, Arif, et al.. (2012). Transition of children with epilepsies to adult care. Acta Paediatrica. 102(3). 216–221. 15 indexed citations
20.
Khan, Arif, et al.. (2011). Bulbar dysfunction: An early presentation of congenital myasthenic syndrome in three infants. Journal of Pediatric Neurosciences. 6(2). 124–124. 2 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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