D.M. Hamby

3.1k total citations · 1 hit paper
57 papers, 2.2k citations indexed

About

D.M. Hamby is a scholar working on Global and Planetary Change, Radiation and Radiological and Ultrasound Technology. According to data from OpenAlex, D.M. Hamby has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 15 papers in Radiation and 12 papers in Radiological and Ultrasound Technology. Recurrent topics in D.M. Hamby's work include Radioactive contamination and transfer (23 papers), Radioactivity and Radon Measurements (12 papers) and Nuclear and radioactivity studies (11 papers). D.M. Hamby is often cited by papers focused on Radioactive contamination and transfer (23 papers), Radioactivity and Radon Measurements (12 papers) and Nuclear and radioactivity studies (11 papers). D.M. Hamby collaborates with scholars based in United States, Lithuania and Singapore. D.M. Hamby's co-authors include Abi T. Farsoni, Richard P. Harvey, John A. Edwards, Pamela Allen, Frank Snyder, Todd S. Palmer, Haori Yang, Keith F. Eckerman, Thomas G. Hinton and Daniel I. Kaplan and has published in prestigious journals such as The Science of The Total Environment, Medical Physics and Risk Analysis.

In The Last Decade

D.M. Hamby

56 papers receiving 2.1k citations

Hit Papers

A review of techniques for parameter sensitivity analysis... 1994 2026 2004 2015 1994 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D.M. Hamby United States 14 394 346 250 249 239 57 2.2k
James J. Filliben United States 30 385 1.0× 448 1.3× 280 1.1× 311 1.2× 149 0.6× 127 3.3k
H. Christopher Frey United States 45 374 0.9× 1.5k 4.3× 364 1.5× 464 1.9× 174 0.7× 194 6.7k
J.K. Vrijling Netherlands 23 1.3k 3.3× 435 1.3× 594 2.4× 424 1.7× 486 2.0× 110 2.6k
Toshimitsu Homma Japan 16 255 0.6× 324 0.9× 541 2.2× 1.4k 5.5× 86 0.4× 46 2.5k
Bani K. Mallick United States 34 330 0.8× 484 1.4× 125 0.5× 281 1.1× 75 0.3× 136 4.5k
Mark J. Kaiser United States 23 270 0.7× 196 0.6× 170 0.7× 178 0.7× 51 0.2× 223 2.8k
Tim Bedford United Kingdom 27 416 1.1× 222 0.6× 349 1.4× 1.2k 4.7× 158 0.7× 106 4.2k
Jin Wang China 40 148 0.4× 249 0.7× 204 0.8× 114 0.5× 237 1.0× 323 6.1k
Jeremy E. Oakley United Kingdom 29 324 0.8× 276 0.8× 318 1.3× 1.3k 5.0× 120 0.5× 71 4.4k
Erwan Scornet France 11 305 0.8× 413 1.2× 174 0.7× 56 0.2× 190 0.8× 18 3.4k

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-authorship network of co-authors of D.M. Hamby

This figure shows the co-authorship network connecting the top 25 collaborators of D.M. Hamby. A scholar is included among the top collaborators of D.M. Hamby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D.M. Hamby. D.M. Hamby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hamby, D.M., et al.. (2016). Building protection- and building shielding-factors for environmental exposure to radionuclides and monoenergetic photon emissions. Journal of Radiological Protection. 36(3). 579–615. 4 indexed citations
2.
Hamby, D.M., et al.. (2015). Contaminant deposition building shielding factors for US residential structures. Journal of Radiological Protection. 35(2). 317–341. 6 indexed citations
3.
Hamby, D.M., et al.. (2014). Cloud immersion building shielding factors for US residential structures. Journal of Radiological Protection. 34(4). 853–871. 8 indexed citations
4.
Edwards, John A., et al.. (2012). Decision Making for Risk Management: A Comparison of Graphical Methods for Presenting Quantitative Uncertainty. Risk Analysis. 32(12). 2055–2070. 11 indexed citations
5.
Hamby, D.M., et al.. (2012). The new VARSKIN 4 photon skin dosimetry model. Radiation Protection Dosimetry. 154(3). 356–363. 2 indexed citations
6.
Hamby, D.M., et al.. (2012). A Review of Contemporary Methods for the Presentation of Scientific Uncertainty. Health Physics. 103(6). 714–731. 6 indexed citations
7.
Harvey, Richard P., et al.. (2003). AGE-SPECIFIC UNCERTAINITY OF THE 131I INGESTION DOSE CONVERSION FACTOR. Health Physics. 84(3). 334–343. 10 indexed citations
8.
Hamby, D.M., et al.. (2003). UNCERTAINTY IN TRANSPORT FACTORS USED TO CALCULATE HISTORICAL DOSE FROM 131I RELEASES AT THE SAVANNAH RIVER SITE. Health Physics. 85(2). 194–203. 1 indexed citations
9.
Weber, A.H., et al.. (2003). The Creation of an Historical Meteorological Database for Environmental Dose Assessment. Environmental Monitoring and Assessment. 83(3). 255–281. 2 indexed citations
10.
Hamby, D.M., et al.. (2002). Uranium, Thorium, and Potassium in Soils Along the Shore of Lake Issyk-Kyol in the Kyrghyz Republic. Environmental Monitoring and Assessment. 73(2). 101–108. 67 indexed citations
11.
Harvey, Richard P. & D.M. Hamby. (2002). Age-specific Uncertainty in Particulate Deposition for 1 μm AMAD Particles using the ICRP 66 Lung Model. Health Physics. 82(6). 807–816. 9 indexed citations
12.
Harvey, Richard P. & D.M. Hamby. (2001). Uncertainty in Particulate Deposition for 1  m AMAD Particles in an Adult Lung Model. Radiation Protection Dosimetry. 95(3). 239–247. 12 indexed citations
13.
Hamby, D.M., et al.. (2000). INGESTION PATHWAY MODEL DEVELOPED FOR USE WITH AN ACUTE ATMOSPHERIC DOSE MODEL AT THE SAVANNAH RIVER SITE. Health Physics. 79(3). 266–273. 1 indexed citations
14.
Hamby, D.M., et al.. (1995). Parameter uncertainty and sensitivity in a liquid-effluent dose model. Environmental Monitoring and Assessment. 38(1). 51–65. 4 indexed citations
15.
Hamby, D.M.. (1995). A Comparison of Sensitivity Analysis Techniques. Health Physics. 68(2). 195–204. 219 indexed citations
16.
Hamby, D.M.. (1994). A review of techniques for parameter sensitivity analysis of environmental models. Environmental Monitoring and Assessment. 32(2). 135–154. 1399 indexed citations breakdown →
17.
Hamby, D.M., et al.. (1993). Environmental Monitoring and Dose Assessment Following the December 1991 K-reactor Aqueous Tritium Release. Health Physics. 65(1). 25–32. 4 indexed citations
18.
Hamby, D.M.. (1993). A Probabilistic Estimation of Atmospheric Tritium Dose. Health Physics. 65(1). 33–40. 23 indexed citations
19.
Hamby, D.M.. (1992). A Methodology For Estimating the Radiological Consequence of an Acute Aqueous Release. Health Physics. 62(6). 567–570. 1 indexed citations
20.
Hamby, D.M.. (1992). Site-specific Parameter Values For the Nuclear Regulatory Commissionʼs Food Pathway Dose Model. Health Physics. 62(2). 136–143. 6 indexed citations

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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