Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Implicit-Bias Remedies: Treating Discriminatory Bias as a Public-Health Problem
This map shows the geographic impact of Jerry Kang'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 Jerry Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Kang more than expected).
This network shows the impact of papers produced by Jerry Kang. 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 Jerry Kang. The network helps show where Jerry Kang may publish in the future.
Co-authorship network of co-authors of Jerry Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Jerry Kang.
A scholar is included among the top collaborators of Jerry Kang 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 Jerry Kang. Jerry Kang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kang, Jerry. (2015). Rethinking Intent and Impact: Some Behavioral Realism About Equal Protection. SSRN Electronic Journal.1 indexed citations
3.
Kang, Jerry, et al.. (2013). Chapter 1: Prologue and Chapter 8: Epilogue: Race, Rights, and Reparation: Law and the Japanese American Internment. SSRN Electronic Journal.1 indexed citations
4.
Levinson, Justin D., Michelle Wilde Anderson, Charles J. Ogletree, et al.. (2012). Implicit Racial Bias across the Law. Cambridge University Press eBooks.28 indexed citations
Kang, Jerry & Kristin A. Lane. (2010). Seeing Through Colorblindness: Implicit Bias and the Law. SSRN Electronic Journal.31 indexed citations
8.
Kang, Jerry. (2010). Implicit Bias and the Pushback from the Left. Saint Louis University law journal. 54(4). 5.1 indexed citations
9.
Kang, Jerry, Katie Shilton, Deborah Estrin, Jeff Burke, & Mark Hansen. (2010). Self-Surveillance Privacy. SSRN Electronic Journal.16 indexed citations
10.
Shilton, Katie, Jeffrey A Burke, Deborah Estrin, et al.. (2009). Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing. ScholarWorks@UMassAmherst (University of Massachusetts Amherst).13 indexed citations
11.
Mun, Min, Katie Shilton, Jeff Burke, et al.. (2009). Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing. eScholarship (California Digital Library).
12.
Cuff, Dana, Mark Hansen, & Jerry Kang. (2008). Urban Sensing: Out of the Woods. SSRN Electronic Journal.19 indexed citations
13.
Lane, Kristin A., Jerry Kang, & Mahzarin R. Banaji. (2007). Implicit Social Cognition and Law. SSRN Electronic Journal.8 indexed citations
Kang, Jerry. (2005). Negative Action Against Asian Americans: The Internal Instability of Dworkin's Defense of Affirmative Action. SSRN Electronic Journal.15 indexed citations
16.
Kang, Jerry & Dana Cuff. (2004). Pervasive Computing: Embedding the Public Sphere. eScholarship (California Digital Library). 62.12 indexed citations
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.