А. Birchall

2.1k total citations
96 papers, 1.5k citations indexed

About

А. Birchall is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiological and Ultrasound Technology and Global and Planetary Change. According to data from OpenAlex, А. Birchall has authored 96 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Radiological and Ultrasound Technology and 44 papers in Global and Planetary Change. Recurrent topics in А. Birchall's work include Radiation Dose and Imaging (52 papers), Radioactivity and Radon Measurements (44 papers) and Radioactive contamination and transfer (44 papers). А. Birchall is often cited by papers focused on Radiation Dose and Imaging (52 papers), Radioactivity and Radon Measurements (44 papers) and Radioactive contamination and transfer (44 papers). А. Birchall collaborates with scholars based in United Kingdom, United States and Russia. А. Birchall's co-authors include Anthony James, M. Puncher, J. Wallis Marsh, Michael Bailey, M.R. Bailey, В. В. Востротин, M.-D. Dorrian, N. S. Jarvis, J. Wallis Marsh and R.K. Bull and has published in prestigious journals such as PLoS ONE, Physics in Medicine and Biology and Radiation Research.

In The Last Decade

А. Birchall

93 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. Birchall United Kingdom 22 922 876 603 315 254 96 1.5k
M.R. Bailey United Kingdom 15 582 0.6× 492 0.6× 310 0.5× 192 0.6× 195 0.8× 28 1.1k
M. Tirmarche France 25 1.5k 1.7× 1.4k 1.6× 490 0.8× 409 1.3× 252 1.0× 80 2.2k
J.L. Lipsztein Brazil 14 579 0.6× 587 0.7× 382 0.6× 126 0.4× 198 0.8× 46 1.1k
K.F. Eckerman United States 14 586 0.6× 410 0.5× 252 0.4× 152 0.5× 153 0.6× 28 911
Ronald L. Kathren United States 18 633 0.7× 606 0.7× 430 0.7× 86 0.3× 111 0.4× 99 1.1k
B.A. Napier United States 21 746 0.8× 470 0.5× 414 0.7× 93 0.3× 90 0.4× 95 1.2k
М. И. Балонов Russia 20 548 0.6× 647 0.7× 838 1.4× 78 0.2× 221 0.9× 80 1.4k
Masahiro Fukushi Japan 20 351 0.4× 689 0.8× 400 0.7× 105 0.3× 332 1.3× 126 1.4k
Homer Wilcox United States 17 665 0.7× 816 0.9× 346 0.6× 187 0.6× 176 0.7× 21 1.6k

Countries citing papers authored by А. Birchall

Since Specialization
Citations

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

Fields of papers citing papers by А. Birchall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. Birchall

This figure shows the co-authorship network connecting the top 25 collaborators of А. Birchall. A scholar is included among the top collaborators of А. Birchall 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 А. Birchall. А. Birchall 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.
Zhang, Zhuo, Dale L. Preston, M.E. Sokolnikov, et al.. (2017). Correction of confidence intervals in excess relative risk models using Monte Carlo dosimetry systems with shared errors. PLoS ONE. 12(4). e0174641–e0174641. 33 indexed citations
2.
Bérard, P., А. Birchall, R.K. Bull, et al.. (2016). Reconstruction of Internal Doses for the Alpha-Risk Case-Control Study of Lung Cancer and Leukaemia Among European Nuclear Workers. Radiation Protection Dosimetry. 174(4). 485–494. 4 indexed citations
3.
Birchall, А., M. Puncher, & В. В. Востротин. (2016). THE MAYAK WORKER DOSIMETRY SYSTEM (MWDS-2013): TREATMENT OF UNCERTAINTY IN MODEL PARAMETERS. Radiation Protection Dosimetry. 176(1-2). 144–153. 16 indexed citations
4.
Puncher, M., et al.. (2016). The Mayak Worker Dosimetry System (Mwds-2013): Plutonium Dissolution in The Lungs—An Analysis of Mayak Workers. Radiation Protection Dosimetry. 6 indexed citations
5.
Puncher, M., А. Birchall, & R.K. Bull. (2013). A Bayesian analysis of uncertainties on lung doses resulting from occupational exposures to uranium. Radiation Protection Dosimetry. 156(2). 131–140. 16 indexed citations
6.
Puncher, M., А. Birchall, & R.K. Bull. (2012). A method for calculating bayesian uncertainties on internal doses resulting from complex occupational exposures. Radiation Protection Dosimetry. 151(2). 224–236. 15 indexed citations
7.
Puncher, M., А. Birchall, & R.K. Bull. (2011). Uncertainties on Lung Doses from Inhaled Plutonium. Radiation Research. 176(4). 494–507. 24 indexed citations
8.
Strom, Daniel J., et al.. (2011). Disaggregating measurement uncertainty from population variability and Bayesian treatment of uncensored results. Radiation Protection Dosimetry. 149(3). 251–267. 2 indexed citations
9.
Marsh, J. Wallis, А. Birchall, E. Blanchardon, et al.. (2008). Dosimetric models used in the Alpha-Risk project to quantify exposure of uranium miners to radon gas and its progeny. Radiation Protection Dosimetry. 130(1). 101–106. 42 indexed citations
10.
Puncher, M. & А. Birchall. (2008). A Monte Carlo method for calculating Bayesian uncertainties in internal dosimetry. Radiation Protection Dosimetry. 132(1). 1–12. 47 indexed citations
11.
Puncher, M. & А. Birchall. (2007). Estimating uncertainty on internal dose assessments. Radiation Protection Dosimetry. 127(1-4). 544–547. 21 indexed citations
12.
Романов, С. А., Raymond A. Guilmette, V. F. Khokhryakov, et al.. (2007). Comparison of dose estimation from occupational exposure to 239Pu using different modelling approaches. Radiation Protection Dosimetry. 127(1-4). 486–490. 3 indexed citations
13.
Puncher, M., J. Wallis Marsh, & А. Birchall. (2006). Obtaining an unbiased estimate of intake in routine monitoring when the time of intake is unknown. Radiation Protection Dosimetry. 118(3). 280–289. 13 indexed citations
14.
Marsh, J. Wallis, А. Birchall, Gernot Butterweck, et al.. (2002). Uncertainty Analysis of the Weighted Equivalent Lung Dose per Unit Exposure to Radon Progeny in the Home. Radiation Protection Dosimetry. 102(3). 229–248. 54 indexed citations
15.
Butterweck, Gernot, et al.. (2002). Experimental Determination of the Absorption Rate of Unattached Radon Progeny from Respiratory Tract to Blood. Radiation Protection Dosimetry. 102(4). 343–348. 28 indexed citations
16.
Birchall, А., et al.. (1998). The IMBA Suite: Integrated Modules for Bioassay Analysis. Radiation Protection Dosimetry. 79(1). 107–110. 29 indexed citations
17.
Birchall, А., Anthony James, & C R Muirhead. (1991). Adequacy of Personal Air Samplers for Monitoring Plutonium Intakes. Radiation Protection Dosimetry. 37(3). 179–188. 2 indexed citations
18.
Ramsden, D., А. Birchall, R.K. Bull, et al.. (1990). Laboratory Intercomparison of Methods Used for the Assessments of Systemic Burdens of Plutonium. Radiation Protection Dosimetry. 30(2). 95–99. 2 indexed citations
19.
Birchall, А. & Anthony James. (1989). A Microcomputer Algorithm for Solving First-order Compartmental Models Involving Recycling. Health Physics. 56(6). 857–868. 48 indexed citations
20.
Priest, Nicholas D. & А. Birchall. (1989). Sensitivity Testing of an Age-related, Multicompartment Dosimetric Model for Bone-surface-seeking Radionuclides in Man. Health Physics. 57. 229–242. 2 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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