Mark E. Johnson

1.3k citations
36 papers · 918 · h-index 16

Impact in

Papers in

Mark E. Johnson

34 papers receiving 857 citations

Peers

Mark E. Johnson
Comparison fields: 5 of 127
  • Statistics and Probability 237
  • Statistics, Probability and Uncertainty 127
  • Finance 166
  • Rheumatology 165
  • Management Science and Operations Research 119
Replace Alan J. Gross with:
Alan J. Gross United States
Georgia Kollia United States
I. R. Dunsmore United Kingdom
M. C. K. Tweedie United Kingdom
Lei Nie United States
Yingwei Peng Canada
R. L. Prentice United States
Dorota M. Dabrowska United States
Zubair Ahmad Pakistan
Geert Schou Denmark
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Citations per field
00.5×7.2×
Alan J. Gross · 1×
Citations per year

Countries citing papers authored by Mark E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981174
2 1996128
3 198671
4 198657
5 200055
6 199654
7 201044
8
Studies on the technique of vitreous fluorophotometry.
198237
9 199735
10 200234
11
Reconstructions after resections of tumors involving the proximal femur.
199131
12 199124
13 199122
14 200220
15 200516
16 201615
17 200612
18 198410
19 19948
20 19958

About Mark E. Johnson

Mark E. Johnson is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine, Statistics, Probability and Uncertainty, Rheumatology and Artificial Intelligence, having authored 36 papers that have together received 918 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Advanced Statistical Methods and Models (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Statistical Distribution Estimation and Applications (6 papers), Bone Tumor Diagnosis and Treatments (6 papers), Advanced Statistical Process Monitoring (4 papers), Wind and Air Flow Studies (3 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Statistics and Probability (237 citations), Statistics, Probability and Uncertainty (127 citations), Finance (166 citations), Rheumatology (165 citations) and Management Science and Operations Research (119 citations). Mark E. Johnson has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include R. Dennis Cook, Alan W. Yasko, John Murray, Alberto G. Ayala, Henry J. Mankin, Ronald L. Iman, Dhiren S. Sheth, Marvin M. Romsdahl, R. Zeimer and José Cunha‐Vaz. Their work appears in journals such as Quality Engineering, Technometrics, Journal of the American Statistical Association, Reliability Engineering & System Safety and Cancer.

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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