Polina Harik

29 papers receiving 415 citations

Peers

Polina Harik
Comparison fields: 5 of 74
  • Family Practice 97
  • Health Informatics 16
  • Public Health, Environmental and Occupational Health 157
  • Management Science and Operations Research 75
  • Statistics, Probability and Uncertainty 34
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Janet Mee United States
André De Champlain Canada
D R Ripkey United States
Melissa J. Margolis United States
Gwendolyn C. Murphy United States
Vimla L. Patel United States
Matthias Holzer Germany
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Citations per year

Countries citing papers authored by Polina Harik

Since Specialization
Citations

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

Fields of papers citing papers by Polina Harik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200656
2 200950
3 200637
4 201931
5 200831
6 200629
7 200227
8 200026
9 200320
10 201815
11 200913
12 201611
13 200811
14 200710
15 201810
16 20199
17 20118
18 20096
19 20136
20 20046

About Polina Harik

Polina Harik is a scholar working on Management Science and Operations Research, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty, Family Practice and Statistics and Probability, having authored 31 papers that have together received 445 indexed citations. Recurring topics across this work include Innovations in Medical Education (6 papers), Clinical Reasoning and Diagnostic Skills (5 papers), Psychometric Methodologies and Testing (5 papers), Reliability and Agreement in Measurement (5 papers), Advanced Statistical Methods and Models (4 papers), Radiology practices and education (3 papers), Medical Education and Admissions (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Family Practice (97 citations), Health Informatics (16 citations), Public Health, Environmental and Occupational Health (157 citations), Management Science and Operations Research (75 citations) and Statistics, Probability and Uncertainty (34 citations). Polina Harik has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Brian E. Clauser, Melissa J. Margolis, Janet Mee, David B. Swanson, Stephen G. Clyman, Monica M. Cuddy, Richard E. Hawkins, Ratna Nandakumar, John R. Boulet and Ronald J. Nungester. Their work appears in journals such as Academic Medicine, Journal of Educational Measurement, Advances in Health Sciences Education, Applied Psychological Measurement and BMC Medical Education.

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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