Mohammad Ehsanul Karim

2.2k citations
122 papers · 1.3k indexed · h-index 17

Impact in

Papers in

    • Advanced Causal Inference Techniques 23
    • Statistical Methods in Clinical Trials 13
    • Statistical Methods and Inference 12
    • Statistical Methods and Bayesian Inference 12
    • SARS-CoV-2 and COVID-19 Research 10

Mohammad Ehsanul Karim

106 papers receiving 1.3k citations

Peers

Mohammad Ehsanul Karim
Comparison fields: 5 of 140
  • Statistics and Probability 198
  • Pathology and Forensic Medicine 301
  • Computer Science Applications 66
  • Health Informatics 16
  • Rheumatology 159
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Citations per year

Countries citing papers authored by Mohammad Ehsanul Karim

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ehsanul Karim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Ehsanul Karim. 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 Mohammad Ehsanul Karim. The network helps show where Mohammad Ehsanul Karim may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Ehsanul Karim, 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 Mohammad Ehsanul Karim Line = papers co-authored together Mohammad Ehsanul Karim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012188
2 2015101
3 201677
4 202066
5 201960
6 201458
7 201556
8 201746
9 202031
10 201525
11 202024
12 201924
13 202122
14 201819
15 202218
16 202117
17 202217
18 202116
19 201716
20 201515

About Mohammad Ehsanul Karim

Mohammad Ehsanul Karim is a scholar working on Statistics and Probability, Infectious Diseases, Health, Pathology and Forensic Medicine and Epidemiology, having authored 122 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (23 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Multiple Sclerosis Research Studies (15 papers), Statistical Methods in Clinical Trials (13 papers), Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Opioid Use Disorder Treatment (9 papers). The work is most often cited by research in Statistics and Probability (198 citations), Pathology and Forensic Medicine (301 citations), Computer Science Applications (66 citations), Health Informatics (16 citations) and Rheumatology (159 citations). Mohammad Ehsanul Karim has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Paul Gustafson, Helen Tremlett, John Petkau, Francesco Mondada, Elaine Kingwell, Charity Evans, Yinshan Zhao, Séverin Lemaignan, Afsaneh Shirani and Joël Oger. Their work appears in journals such as Annals of Epidemiology, BMC Medical Research Methodology, BMJ Open, American Journal of Epidemiology and Pharmacoepidemiology and Drug Safety.

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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