Inyoung Kim

About

Inyoung Kim is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Inyoung Kim has authored 98 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 20 papers in Molecular Biology and 17 papers in Artificial Intelligence. Recurrent topics in Inyoung Kim’s work include Statistical Methods and Inference (22 papers), Bioinformatics and Genomic Networks (14 papers) and Statistical Methods and Bayesian Inference (12 papers). Inyoung Kim is often cited by papers focused on Statistical Methods and Inference (22 papers), Bioinformatics and Genomic Networks (14 papers) and Statistical Methods and Bayesian Inference (12 papers). Inyoung Kim collaborates with scholars based in United States, South Korea and Egypt. Inyoung Kim's co-authors include Patrick Schaumont, Susan W. White, Abhranil Maiti, Thomas H. Ollendick, Lawrence David Scahill, Michael A. Southam‐Gerow, Cynthia R. Johnson, Anne Marie Albano, Donald P. Oswald and Peter J. Vikesland and has published in prestigious journals such as Nano Letters, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Inyoung Kim i

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Fields of papers citing papers by Inyoung Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inyoung Kim

Since Specialization

Citations

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