M. E. Wise

689 citations
39 papers · 531 · h-index 15

Impact in

Papers in

    • Statistical Distribution Estimation and Applications 5
    • Statistical Methods and Bayesian Inference 2
    • Hemodynamic Monitoring and Therapy 5

M. E. Wise

39 papers receiving 467 citations

Peers

M. E. Wise
Comparison fields: 5 of 116
  • Statistics and Probability 65
  • Pulmonary and Respiratory Medicine 145
  • Critical Care and Intensive Care Medicine 20
  • Statistics, Probability and Uncertainty 32
  • Computational Mathematics 2
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Citations per field
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Citations per year

Countries citing papers authored by M. E. Wise

Since Specialization
Citations

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

Fields of papers citing papers by M. E. Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. E. Wise. 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 M. E. Wise. The network helps show where M. E. Wise may publish in the future.

Co-authors

The 24 scholars most cited alongside M. E. Wise, 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 M. E. Wise Line = papers co-authored together M. E. Wise links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196051
2
Changes in the FEV1-height relationship during pubertal growth.
198444
3 196839
4 198426
5 196726
6 197425
7 198619
8 195419
9 196118
10 197518
11
Evaluating lung function and anthropometric growth data in a longitudinal study on adolescents.
198416
12 196615
13 198115
14 200015
15 196314
16 196314
17 197113
18 197913
19 196313
20 196112

About M. E. Wise

M. E. Wise is a scholar working on Statistics and Probability, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Management Science and Operations Research, having authored 39 papers that have together received 531 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (5 papers), Hemodynamic Monitoring and Therapy (5 papers), Occupational and environmental lung diseases (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Radioactive Decay and Measurement Techniques (2 papers). The work is most often cited by research in Statistics and Probability (65 citations), Pulmonary and Respiratory Medicine (145 citations), Critical Care and Intensive Care Medicine (20 citations), Statistics, Probability and Uncertainty (32 citations) and Computational Mathematics (2 citations). M. E. Wise has collaborated with scholars based in Netherlands, United Kingdom and Ukraine. Frequent co-authors include R. W. S. Tomlinson, S. B. Osborn, J. Anderson, PH Quanjer, Desiree Rivers, A. Versprille, P. D. Oldham, E. J. King, G. Nagelschmidt and Bert C. van Zomeren. Their work appears in journals such as Biometrika, Occupational and Environmental Medicine, Bulletin of Mathematical Biology, Mathematical Biosciences and Nature.

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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