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.
Do Investors Value Sustainability? A Natural Experiment Examining Ranking and Fund Flows
2019925 citationsAbigail B. Sussman et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Abigail B. Sussman
Since
Specialization
Citations
This map shows the geographic impact of Abigail B. Sussman'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 Abigail B. Sussman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abigail B. Sussman more than expected).
Fields of papers citing papers by Abigail B. Sussman
This network shows the impact of papers produced by Abigail B. Sussman. 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 Abigail B. Sussman. The network helps show where Abigail B. Sussman may publish in the future.
Co-authorship network of co-authors of Abigail B. Sussman
This figure shows the co-authorship network connecting the top 25 collaborators of Abigail B. Sussman.
A scholar is included among the top collaborators of Abigail B. Sussman 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 Abigail B. Sussman. Abigail B. Sussman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Khemlani, Sangeet, Samuel G. B. Johnson, Daniel M. Oppenheimer, & Abigail B. Sussman. (2024). The latent scope bias: Robust and replicable. Cognition. 252. 105872–105872.1 indexed citations
Bartels, Daniel M. & Abigail B. Sussman. (2017). Anchors Or Targets? An Examination of Credit Card Statements. ACR North American Advances.2 indexed citations
Sussman, Abigail B., et al.. (2016). Mental Accounting For Food in Exceptional Contexts. ACR North American Advances.3 indexed citations
16.
Sussman, Abigail B., et al.. (2016). Invoking the Responsible Self and Enhancing Subjective Competence: Nudges to Increase Financial Engagement. ACR North American Advances.1 indexed citations
17.
Hardisty, David J., et al.. (2016). Understanding the Expense Prediction Bias. ACR North American Advances.2 indexed citations
18.
Sussman, Abigail B. & Rourke O’Brien. (2015). Using Gambling to Incentivize Prudent Financial Decisions. ACR North American Advances.1 indexed citations
Sussman, Abigail B. & Daniel M. Oppenheimer. (2011). A Causal Model Theory of Judgment. Cognitive Science. 33(33).5 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.