Andrew Goldstein

17 papers receiving 241 citations

Peers

Andrew Goldstein
Comparison fields: 5 of 81
  • Health Informatics 6
  • Health Information Management 9
  • Statistics, Probability and Uncertainty 14
  • Statistics and Probability 16
  • Genetics 44
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Countries citing papers authored by Andrew Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 202028
3 201621
4 201719
5 201716
6
Too green for their own good?
200213
7 201613
8 20189
9 20199
10 20208
11 20088
12
Facets : new perspectives on the history of semiconductors
19978
13 20216
14 20193
15 19892
16 20042
17
Sealing and Revealing: Rethinking the Rules Governing Public Access to Information Generated through Litigation
20061
18 20230
19 20240
20 20090

About Andrew Goldstein

Andrew Goldstein is a scholar working on Molecular Biology, Economics and Econometrics, Statistics, Probability and Uncertainty, Statistics and Probability and Political Science and International Relations, having authored 21 papers that have together received 249 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Cervical Cancer and HPV Research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods in Clinical Trials (2 papers), Legal Systems and Judicial Processes (2 papers), Biomedical Text Mining and Ontologies (2 papers), Health Policy Implementation Science (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (6 citations), Health Information Management (9 citations), Statistics, Probability and Uncertainty (14 citations), Statistics and Probability (16 citations) and Genetics (44 citations). Andrew Goldstein has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Chunhua Weng, A. K. Sen, Patrick Ryan, Mark Schiffman, Kanan Desai, Kayode Olusegun Ajenifuja, Sílvia de Sanjosé, Jerome L. Belinson, Chi Yuan and Shuang Wang. Their work appears in journals such as Journal of the American Medical Informatics Association, Primary Health Care Research & Development, Journal of Biomedical Informatics, Journal of Lower Genital Tract Disease and Retrovirology.

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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