Rima Izem

68 total papers · 1.3k total citations
43 papers, 832 citations indexed

About

Rima Izem is a scholar working on Statistics and Probability, Economics and Econometrics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Rima Izem has authored 43 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 10 papers in Economics and Econometrics and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Rima Izem's work include Statistical Methods in Clinical Trials (11 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Advanced Causal Inference Techniques (6 papers). Rima Izem is often cited by papers focused on Statistical Methods in Clinical Trials (11 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Advanced Causal Inference Techniques (6 papers). Rima Izem collaborates with scholars based in United States, Switzerland and Malawi. Rima Izem's co-authors include Joel G. Kingsolver, David J. Graham, Mary Southworth, Jiemin Liao, Michael Wernecke, Yuqin Wei, Jeffrey A. Kelman, Margie R. Goulding, Thomas MaCurdy and Marsha E. Reichman and has published in prestigious journals such as New England Journal of Medicine, Annals of Internal Medicine and The American Naturalist.

In The Last Decade

Rima Izem

40 papers receiving 816 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rima Izem 281 135 132 124 116 43 832
Christian Asseburg 146 0.5× 25 0.2× 61 0.5× 52 0.4× 223 1.9× 43 944
Giuseppe Marano 124 0.4× 54 0.4× 27 0.2× 52 0.4× 67 0.6× 81 835
Anna Ponjoan 192 0.7× 30 0.2× 206 1.6× 40 0.3× 125 1.1× 46 1.0k
Alan G. Haynes 260 0.9× 29 0.2× 50 0.4× 21 0.2× 25 0.2× 38 769
J. T. Williams 60 0.2× 91 0.7× 60 0.5× 292 2.4× 7 0.1× 26 828
Nathanael R. Fillmore 44 0.2× 31 0.2× 24 0.2× 28 0.2× 69 0.6× 89 883
Jorge González‐Esteban 295 1.0× 18 0.1× 376 2.8× 292 2.4× 27 0.2× 37 932
Keith P. Lewis 221 0.8× 6 0.0× 290 2.2× 25 0.2× 110 0.9× 38 964
Pietrantonio Ricci 82 0.3× 12 0.1× 38 0.3× 129 1.0× 15 0.1× 75 846
Mamata V. Kene 146 0.5× 130 1.0× 21 0.2× 63 0.5× 21 0.2× 41 835

Countries citing papers authored by Rima Izem

Since Specialization
Citations

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

Fields of papers citing papers by Rima Izem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rima Izem

This figure shows the co-authorship network connecting the top 25 collaborators of Rima Izem. A scholar is included among the top collaborators of Rima Izem 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 Rima Izem. Rima Izem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026