Abigail See

2 papers and 6 indexed citations
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About

Abigail See is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Abigail See has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Management Science and Operations Research and 1 paper in Economics and Econometrics. Recurrent topics in Abigail See’s work include Auction Theory and Applications (1 paper), Game Theory and Applications (1 paper) and Natural Language Processing Techniques (1 paper). Abigail See is often cited by papers focused on Auction Theory and Applications (1 paper), Game Theory and Applications (1 paper) and Natural Language Processing Techniques (1 paper). Abigail See collaborates with scholars based in United Kingdom. Abigail See's co-authors include Pushmeet Kohli, Yoram Bachrach, Ashwin Paranjape, Yuhao Zhang, Kevin B. Clark, Jinhao Lei, Jason Bolton, Christopher D. Manning, Arun Tejasvi Chaganty and Peng Qi and has published in prestigious journals such as Theory and applications of categories and Adaptive Agents and Multi-Agents Systems.

In The Last Decade

Co-authorship network of co-authors of Abigail See

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

Fields of papers citing papers by Abigail See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Abigail See

Since Specialization
Citations

This map shows the geographic impact of Abigail See'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 See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abigail See 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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2026