Ian Schmid

767 citations
22 papers · 402 · h-index 11

Impact in

Papers in

Ian Schmid

22 papers receiving 398 citations

Peers

Ian Schmid
Comparison fields: 5 of 109
  • Statistics and Probability 71
  • Statistics, Probability and Uncertainty 51
  • General Health Professions 93
  • Anesthesiology and Pain Medicine 19
  • Clinical Psychology 54
Replace Inês B. Henriques with:
Inês B. Henriques United Kingdom
Katy E. Morgan United Kingdom
Zoë Skea United Kingdom
Zelda Tomlin United Kingdom
Sarah Ronaldson United Kingdom
Jim Nuovo United States
Roland Brian Büchter Germany
McKee United Kingdom
Ghassan Karam Switzerland
Vladislav Beresovsky United States
Ian Schmid relative to Inês B. Henriques United Kingdom Inês B. Henriques's profile →
Citations per field
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Inês B. Henriques · 1×
Citations per year

Countries citing papers authored by Ian Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Ian Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015120
2 201744
3 201533
4 201823
5 202120
6 202220
7 202218
8 201817
9 202116
10 202215
11 202110
12 20229
13 20199
14 19978
15 20227
16 20147
17 20207
18 20226
19 20235
20 20215

About Ian Schmid

Ian Schmid is a scholar working on Statistics and Probability, Public Health, Environmental and Occupational Health, Anesthesiology and Pain Medicine, Pharmacology and General Health Professions, having authored 22 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Bayesian Inference (6 papers), Opioid Use Disorder Treatment (6 papers), Statistical Methods and Inference (6 papers), Pain Management and Opioid Use (5 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Prenatal Substance Exposure Effects (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Statistics and Probability (71 citations), Statistics, Probability and Uncertainty (51 citations), General Health Professions (93 citations), Anesthesiology and Pain Medicine (19 citations) and Clinical Psychology (54 citations). Ian Schmid has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Elizabeth A. Stuart, Christopher Halladay, Thomas A Trikalinos, Christopher H. Schmid, Issa J Dahabreh, John W. Jackson, Trang Quynh Nguyen, Mehmet Burcu, Julie M. Zito and Benjamin Ackerman. Their work appears in journals such as Epidemiology, Health Services Research, American Journal of Preventive Medicine, Journal of Policy Analysis and Management and JAMA.

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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