Daniel G. Hamilton

747 total citations
27 papers, 337 citations indexed

About

Daniel G. Hamilton is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Information Systems. According to data from OpenAlex, Daniel G. Hamilton has authored 27 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics, Probability and Uncertainty, 10 papers in Information Systems and Management and 9 papers in Information Systems. Recurrent topics in Daniel G. Hamilton's work include Meta-analysis and systematic reviews (12 papers), Research Data Management Practices (9 papers) and Scientific Computing and Data Management (9 papers). Daniel G. Hamilton is often cited by papers focused on Meta-analysis and systematic reviews (12 papers), Research Data Management Practices (9 papers) and Scientific Computing and Data Management (9 papers). Daniel G. Hamilton collaborates with scholars based in Australia, Canada and Germany. Daniel G. Hamilton's co-authors include Fiona Fidler, Matthew J. Page, Hannah Fraser, David Moher, Joanne E. McKenzie, Raju Kanukula, Neal Haddaway, Rink Hoekstra, Phi‐Yen Nguyen and I Segal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and BMJ.

In The Last Decade

Daniel G. Hamilton

22 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Hamilton Australia 11 121 68 62 60 51 27 337
Peter O’Blenis Canada 6 83 0.7× 20 0.3× 29 0.5× 31 0.5× 35 0.7× 11 274
Jigisha Patel Canada 8 93 0.8× 23 0.3× 10 0.2× 69 1.1× 87 1.7× 18 263
Leslie D. McIntosh United States 9 18 0.1× 49 0.7× 41 0.7× 21 0.3× 44 0.9× 26 281
Jong‐Wook Lee South Korea 12 57 0.5× 29 0.4× 59 1.0× 98 1.6× 36 0.7× 52 379
Michel Atlas United States 11 22 0.2× 13 0.2× 36 0.6× 88 1.5× 9 0.2× 24 346
Betsy Rolland United States 11 21 0.2× 93 1.4× 42 0.7× 90 1.5× 97 1.9× 36 361
Ya‐Ling Lu United States 5 45 0.4× 110 1.6× 149 2.4× 62 1.0× 5 0.1× 12 306
Magdalena Espinoza United States 10 47 0.4× 12 0.2× 12 0.2× 39 0.7× 70 1.4× 25 282
Anita Walden United States 9 15 0.1× 22 0.3× 13 0.2× 83 1.4× 13 0.3× 21 265
Nidhi Desai United States 8 57 0.5× 13 0.2× 7 0.1× 35 0.6× 21 0.4× 15 272

Countries citing papers authored by Daniel G. Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Hamilton. 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 Daniel G. Hamilton. The network helps show where Daniel G. Hamilton may publish in the future.

Co-authorship network of co-authors of Daniel G. Hamilton

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Hamilton. A scholar is included among the top collaborators of Daniel G. Hamilton 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 Daniel G. Hamilton. Daniel G. Hamilton 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
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Nguyen, Phi‐Yen, et al.. (2025). Reproducibility of meta-analytic results in systematic reviews of interventions: meta-research study. PubMed. 4(1). e002024–e002024.
3.
Sorzano, Carlos Óscar S., Daniel G. Hamilton, & Eva Méndez. (2024). Animal researchers’ views on the publication of negative results and subsequent policy adoptions. Laboratory Animals. 59(2). 276–282.
4.
Hamilton, Daniel G., Matthew J. Page, Sarah Everitt, Hannah Fraser, & Fiona Fidler. (2024). Cancer researchers’ experiences with and perceptions of research data sharing: Results of a cross-sectional survey. Accountability in Research. 32(4). 530–557.
5.
Nguyen, Phi‐Yen, Joanne E. McKenzie, Daniel G. Hamilton, et al.. (2023). Systematic reviewers' perspectives on replication of systematic reviews: A survey. SHILAP Revista de lepidopterología. 1(2). e12009–e12009. 4 indexed citations
6.
Wintle, Bonnie C., David P. Wilkinson, Anca M. Hanea, et al.. (2023). Predicting and reasoning about replicability using structured groups. Royal Society Open Science. 10(6). 221553–221553. 2 indexed citations
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Hamilton, Daniel G., et al.. (2023). Radiation necrosis and therapeutic outcomes in patients treated with linear accelerator‐based hypofractionated stereotactic radiosurgery for intact intracranial metastases. Journal of Medical Imaging and Radiation Oncology. 67(3). 308–319. 1 indexed citations
10.
Nguyen, Phi‐Yen, Joanne E. McKenzie, Daniel G. Hamilton, et al.. (2023). Systematic reviewers' perspectives on sharing review data, analytic code, and other materials: A survey. SHILAP Revista de lepidopterología. 1(2). e12008–e12008. 5 indexed citations
11.
Hamilton, Daniel G., Matthew J. Page, Sue Finch, Sarah Everitt, & Fiona Fidler. (2022). How often do cancer researchers make their data and code available and what factors are associated with sharing?. BMC Medicine. 20(1). 438–438. 16 indexed citations
12.
Nguyen, Phi‐Yen, Raju Kanukula, Joanne E. McKenzie, et al.. (2022). Changing patterns in reporting and sharing of review data in systematic reviews with meta-analysis of the effects of interventions: cross sectional meta-research study. BMJ. 379. e072428–e072428. 37 indexed citations
13.
Page, Matthew J., Phi‐Yen Nguyen, Daniel G. Hamilton, et al.. (2022). Data and code availability statements in systematic reviews of interventions were often missing or inaccurate: a content analysis. Journal of Clinical Epidemiology. 147. 1–10. 32 indexed citations
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Hamilton, Daniel G., Hannah Fraser, Fiona Fidler, et al.. (2021). Rates and predictors of data and code sharing in the medical and health sciences: Protocol for a systematic review and individual participant data meta-analysis.. F1000Research. 10. 491–491. 3 indexed citations
16.
Hamilton, Daniel G., Hannah Fraser, Fiona Fidler, et al.. (2021). Rates and predictors of data and code sharing in the medical and health sciences: Protocol for a systematic review and individual participant data meta-analysis.. F1000Research. 10. 491–491. 5 indexed citations
17.
Hamilton, Daniel G., Hannah Fraser, Rink Hoekstra, & Fiona Fidler. (2020). Journal policies and editors’ opinions on peer review. eLife. 9. 35 indexed citations
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Hamilton, Daniel G., Claire Jones, Emma Fitzgerald, et al.. (2016). Impact of tumour bed boost integration on acute and late toxicity in patients with breast cancer: A systematic review. The Breast. 27. 126–135. 17 indexed citations
20.
Segal, I, et al.. (1981). Polyps and colorectal cancer in South African Blacks.. Gut. 22(8). 653–657. 26 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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