Mohammad Ehsanul Karim

2.3k citations
125 papers · 1.4k · h-index 18

Impact in

Papers in

    • Advanced Causal Inference Techniques 19
    • Statistical Methods in Clinical Trials 11
    • Statistical Methods and Inference 9
    • SARS-CoV-2 and COVID-19 Research 9
    • Tuberculosis Research and Epidemiology 8

Mohammad Ehsanul Karim

106 papers receiving 1.4k citations

Peers

Mohammad Ehsanul Karim
Comparison fields: 5 of 132
  • Statistics and Probability 175
  • Pathology and Forensic Medicine 295
  • Computer Science Applications 85
  • Infectious Diseases 172
  • Health Informatics 13
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Citations per field
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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 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012191
2 2015124
3 201681
4 202069
5 201965
6 201459
7 201559
8 201746
9 202035
10 202026
11 201925
12 201525
13 202122
14 201822
15 202219
16 202218
17 202117
18 202117
19 201716
20 202315

About Mohammad Ehsanul Karim

Mohammad Ehsanul Karim is a scholar working on Statistics and Probability, Infectious Diseases, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Epidemiology, having authored 125 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (19 papers), Multiple Sclerosis Research Studies (15 papers), Statistical Methods in Clinical Trials (11 papers), Statistical Methods and Inference (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Tuberculosis Research and Epidemiology (8 papers) and Opioid Use Disorder Treatment (7 papers). The work is most often cited by research in Statistics and Probability (175 citations), Pathology and Forensic Medicine (295 citations), Computer Science Applications (85 citations), Infectious Diseases (172 citations) and Health Informatics (13 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, Séverin Lemaignan, Elaine Kingwell, Charity Evans, Yinshan Zhao, Afsaneh Shirani and Joël Oger. Their work appears in journals such as BMC Medical Research Methodology, Annals of Epidemiology, BMJ Open, American Journal of Epidemiology and Multiple Sclerosis 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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