Il Do Ha

51 papers and 696 indexed citations i.

About

Il Do Ha is a scholar working on Statistics and Probability, Demography and Economics and Econometrics. According to data from OpenAlex, Il Do Ha has authored 51 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 18 papers in Demography and 11 papers in Economics and Econometrics. Recurrent topics in Il Do Ha’s work include Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (25 papers) and Insurance, Mortality, Demography, Risk Management (18 papers). Il Do Ha is often cited by papers focused on Statistical Methods and Inference (34 papers), Statistical Methods and Bayesian Inference (25 papers) and Insurance, Mortality, Demography, Risk Management (18 papers). Il Do Ha collaborates with scholars based in South Korea, United States and Ireland. Il Do Ha's co-authors include Youngjo Lee, Gilbert MacKenzie, Chi‐Heum Cho, Sung Won Jung, Dae Hyun Kim, Mi Kyung Kim, Hye Soon Kim, So‐Jin Shin, Young Kyu Kwon and Young Sung Suh and has published in prestigious journals such as Biometrika, Statistics in Medicine and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Co-authorship network of co-authors of Il Do Ha i

Fields of papers citing papers by Il Do Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Il Do Ha. 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 Il Do Ha. The network helps show where Il Do Ha may publish in the future.

Countries citing papers authored by Il Do Ha

Since Specialization
Citations

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

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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