Abigail See

4.8k total citations · 1 hit paper
5 papers, 2.2k citations indexed

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 5 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers 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 Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Speech and dialogue systems (1 paper). Abigail See is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Speech and dialogue systems (1 paper). Abigail See collaborates with scholars based in United States, United Kingdom and Israel. Abigail See's co-authors include Christopher D. Manning, Peter J. Liu, Stephen Roller, Jason Weston, Douwe Kiela, Yoram Bachrach, Pushmeet Kohli, Kevin B. Clark, Peng Qi and Jinhao Lei and has published in prestigious journals such as Theory and applications of categories and Adaptive Agents and Multi-Agents Systems.

In The Last Decade

Abigail See

5 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

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.

Get To The Point: Summarization with Pointer-Generator Networks

2017 2.1k citations Abigail See, Peter J. Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Abigail See United States	4	2.1k	380	274	79	51	5	2.2k
Peter J. Liu United States	4	2.0k 1.0×	366 1.0×	268 1.0×	82 1.0×	45 0.9×	4	2.1k
Mikel Artetxe Spain	10	1.4k 0.7×	337 0.9×	115 0.4×	49 0.6×	44 0.9×	35	1.6k
Zhiguo Wang United States	20	1.5k 0.7×	375 1.0×	260 0.9×	78 1.0×	52 1.0×	43	1.6k
Tushar Khot United States	18	1.2k 0.6×	342 0.9×	181 0.7×	63 0.8×	56 1.1×	48	1.4k
Radu Florian United States	21	1.6k 0.8×	179 0.5×	245 0.9×	88 1.1×	100 2.0×	72	1.7k
Matt Gardner United States	22	1.4k 0.7×	470 1.2×	163 0.6×	46 0.6×	109 2.1×	59	1.6k
Andrew M. Dai United States	7	1.2k 0.6×	442 1.2×	185 0.7×	44 0.6×	56 1.1×	10	1.4k
Chandra Bhagavatula United States	14	1.0k 0.5×	263 0.7×	150 0.5×	47 0.6×	49 1.0×	38	1.2k
Shashi Narayan United Kingdom	14	1.3k 0.6×	174 0.5×	113 0.4×	86 1.1×	53 1.0×	32	1.5k
Nicholas Kolkin United States	4	630 0.3×	139 0.4×	183 0.7×	45 0.6×	29 0.6×	4	822

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).

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.

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.

All Works

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5 of 5 papers shown

1.

See, Abigail & Christopher D. Manning. (2021). Understanding and predicting user dissatisfaction in a neural generative chatbot. 13 indexed citations

2.

See, Abigail, Stephen Roller, Douwe Kiela, & Jason Weston. (2019). What makes a good conversation? How controllable attributes affect human judgments. 1702–1723. 119 indexed citations

3.

Chaganty, Arun Tejasvi, Ashwin Paranjape, Jason Bolton, et al.. (2017). Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph.. Theory and applications of categories. 2 indexed citations

4.

See, Abigail, Peter J. Liu, & Christopher D. Manning. (2017). Get To The Point: Summarization with Pointer-Generator Networks. 1073–1083. 2056 indexed citations breakdown →

5.

See, Abigail, Yoram Bachrach, & Pushmeet Kohli. (2014). The cost of principles: analyzing power in compatibility weighted voting games. Adaptive Agents and Multi-Agents Systems. 37–44. 6 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.

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