Albert Y. Kim

566 total citations
17 papers, 189 citations indexed

About

Albert Y. Kim is a scholar working on Artificial Intelligence, Nature and Landscape Conservation and Statistics and Probability. According to data from OpenAlex, Albert Y. Kim has authored 17 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Nature and Landscape Conservation and 4 papers in Statistics and Probability. Recurrent topics in Albert Y. Kim's work include Data Analysis with R (4 papers), Statistics Education and Methodologies (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). Albert Y. Kim is often cited by papers focused on Data Analysis with R (4 papers), Statistics Education and Methodologies (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). Albert Y. Kim collaborates with scholars based in United States, Panama and Cyprus. Albert Y. Kim's co-authors include Donald B. Percival, Werner Stuetzle, Caren Marzban, Ian R. McGregor, Kristina J. Anderson‐Teixeira, Erika Gonzalez‐Akre, Valentine Herrmann, William J. McShea, Loïc D’Orangeville and Ryan Helcoski and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Albert Y. Kim

15 papers receiving 183 citations

Peers

Countries citing papers authored by Albert Y. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Albert Y. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Y. Kim

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Statistical Inference via Data Science 2025 ·(unknown), Albert Y. Kim, Arturo Valdivia	0
2	Implementing GitHub Actions continuous integration to reduce error rates in ecological data collection 2022 ·Methods in Ecology and Evolution ·Albert Y. Kim, Valentine Herrmann, (unknown), (unknown), Erika Gonzalez‐Akre, Daniel J. Johnson, (unknown), (unknown), Ian R. McGregor, (unknown), (unknown), (unknown), Jessica Shue, Kristina J. Anderson‐Teixeira	10
3	Warm springs alter timing but not total growth of temperate deciduous trees 2022 ·Nature ·(unknown), Albert Y. Kim, Loïc D’Orangeville, Erika Gonzalez‐Akre, Ryan Helcoski, Valentine Herrmann, Grant L. Harley, Justin T. Maxwell, Ian R. McGregor, William J. McShea, Sean M. McMahon, Neil Pederson, Alan J. Tepley, Kristina J. Anderson‐Teixeira	74
4	Integrating Data Science Ethics Into an Undergraduate Major: A Case Study 2022 ·SHILAP Revista de lepidopterología ·Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim, (unknown), Miles Q. Ott	20
5	The forestecology R package for fitting and assessing neighborhood models of the effect of interspecific competition on the growth of trees 2021 ·Ecology and Evolution ·Albert Y. Kim, David Allen, (unknown)	3
6	Take a moderndive into introductory linear regression with R 2021 ·Albert Y. Kim, (unknown), Max Kühn	3
7	A permutation test and spatial cross-validation approach to assess models of interspecific competition between trees 2020 ·PLoS ONE ·David Allen, Albert Y. Kim	4
8	Statistical Inference via Data Science 2019 ·(unknown), Albert Y. Kim	12
9	Methods and Data for Spatial Epidemiology [R package SpatialEpi version 1.2.3] 2018 ·Albert Y. Kim, Jon Wakefield	1
10	The fivethirtyeight R Package: "Tame Data" Principles for Introductory Statistics and Data Science Courses 2018 ·Albert Y. Kim, (unknown), Jennifer Chunn	4
11	sall1 and sall4 repress pou5f3 family expression to allow neural patterning, differentiation, and morphogenesis in Xenopus laevis 2017 ·Developmental Biology ·Cameron R. T. Exner, Albert Y. Kim, (unknown), Richard M. Harland	15
12	A Bayesian Method for Cluster Detection with Application to Brain and Breast Cancer in Puget Sound 2016 ·Epidemiology ·Albert Y. Kim, Jon Wakefield	2
13	Methods and Data for Spatial Epidemiology 2016 ·Albert Y. Kim, Jon Wakefield	1
14	OkCupid Data for Introductory Statistics and Data Science Courses 2015 ·Journal of Statistics Education ·Albert Y. Kim, (unknown)	7
15	R Data and Methods for Spatial Epidemiology: the SpatialEpi Package 2010 ·Albert Y. Kim, (unknown)	6
16	Using labeled data to evaluate change detectors in a multivariate streaming environment 2009 ·Signal Processing ·Albert Y. Kim, Caren Marzban, Donald B. Percival, Werner Stuetzle	27
17	Arbitrating Statutory Rights in the Union Setting: Breaking the Collective Interest Problem without Damaging Labor Relations 1998 ·The University of Chicago Law Review ·Albert Y. Kim	0

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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