D.M. Hamby

57 papers receiving 2.2k citations

D.M. Hamby's Hit Papers

A review of techniques for parameter sensitivity analysis of environmental models 1994 · 1.5k citations
1.5k0+10+21Years since publication4008001.2k

Peers

D.M. Hamby
Comparison fields: 5 of 190
  • Radiological and Ultrasound Technology 185
  • Statistics, Probability and Uncertainty 262
  • Environmental Engineering 365
  • Safety, Risk, Reliability and Quality 180
  • Global and Planetary Change 415
Replace Daniele L. Pinti with:
Daniele L. Pinti Canada
F.O. Hoffman United States
James J. Filliben United States
Toshimitsu Homma Japan
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Tianfeng Chai United States
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Citations per year

Countries citing papers authored by D.M. Hamby

Since Specialization
Citations

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

Fields of papers citing papers by D.M. Hamby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of techniques for parameter sensitivity analysis of environmental models
Hit paper breakdown →
19941460
2 1995232
3 1996127
4 200269
5 201040
6 199730
7 200730
8 201328
9 199325
10 199919
11 199118
12 199416
13 200516
14 201215
15 200115
16 201414
17 200013
18 200213
19 200612
20 200310

About D.M. Hamby

D.M. Hamby is a scholar working on Global and Planetary Change, Radiation, Radiological and Ultrasound Technology, Safety, Risk, Reliability and Quality and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Radioactive contamination and transfer (23 papers), Radioactivity and Radon Measurements (13 papers), Nuclear and radioactivity studies (12 papers), Radiation Detection and Scintillator Technologies (11 papers), Graphite, nuclear technology, radiation studies (8 papers), Radiation Therapy and Dosimetry (7 papers), Radiation Dose and Imaging (5 papers) and Nuclear Physics and Applications (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (185 citations), Statistics, Probability and Uncertainty (262 citations), Environmental Engineering (365 citations), Safety, Risk, Reliability and Quality (180 citations) and Global and Planetary Change (415 citations). D.M. Hamby has collaborated with scholars based in United States, Singapore and Finland. Frequent co-authors include Abi T. Farsoni, Richard P. Harvey, John A. Edwards, Frank Snyder, Pamela Allen, Todd Palmer, Haori Yang, Keith F. Eckerman, T. Nedveckaitė and V. Filistovič. Their work appears in journals such as Health Physics, Radiation Protection Dosimetry, Environmental Monitoring and Assessment, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Radiological Protection.

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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