Michael Sherman

2.1k citations
64 papers · 1.5k · h-index 20

Impact in

Papers in

    • Statistical Methods and Inference 13
    • Statistical Methods and Bayesian Inference 12
    • Advanced Statistical Methods and Models 5
    • Statistical Distribution Estimation and Applications 5
    • Soil Geostatistics and Mapping 10

Michael Sherman

63 papers receiving 1.3k citations

Peers

Michael Sherman
Comparison fields: 5 of 176
  • Statistics and Probability 237
  • Environmental Engineering 265
  • Demography 169
  • Geriatrics and Gerontology 49
  • Applied Mathematics 128
Replace Georges Monette with:
Georges Monette Canada
Irene L. Hudson Australia
Scott H. Holan United States
Maŕıa Durbán Spain
John E. Kolassa United States
Thomas Hassard Canada
Luisa Bernardinelli Italy
Nicola Best United Kingdom
Antonio Sanhueza Chile
Robert B. Bendel United States
Michael Sherman relative to Georges Monette Canada Georges Monette's profile →
Citations per field
00.5×10×16×
Georges Monette · 1×
Citations per year

Countries citing papers authored by Michael Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003151
2 1989126
3 200688
4 199779
5 199677
6 200074
7 200460
8 200756
9 200349
10 200848
11 202347
12 200641
13 197737
14 200532
15 200130
16 200428
17 200727
18 201125
19 200523
20 200721

About Michael Sherman

Michael Sherman is a scholar working on Statistics and Probability, Environmental Engineering, Economics and Econometrics, General Health Professions and Management Science and Operations Research, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (12 papers), Soil Geostatistics and Mapping (10 papers), Geriatric Care and Nursing Homes (8 papers), Spatial and Panel Data Analysis (7 papers), Advanced Statistical Methods and Models (5 papers), Statistical Distribution Estimation and Applications (5 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics and Probability (237 citations), Environmental Engineering (265 citations), Demography (169 citations), Geriatrics and Gerontology (49 citations) and Applied Mathematics (128 citations). Michael Sherman has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Yongtao Guan, Scott H. Holan, Daniel B. LeGoff, Marc G. Genton, Saskia le Cessie, Miriam Rose, James A. Calvin, Charles D. Phillips, C. Hawes and Charles D. Phillips. Their work appears in journals such as Journal of the American Statistical Association, Computational Statistics & Data Analysis, The Gerontologist, The American Statistician and Pediatric Research.

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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