Alane Suhr

673 total citations
11 papers, 212 citations indexed

About

Alane Suhr is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications. According to data from OpenAlex, Alane Suhr has authored 11 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Science Applications. Recurrent topics in Alane Suhr's work include Topic Modeling (8 papers), Multimodal Machine Learning Applications (7 papers) and Natural Language Processing Techniques (4 papers). Alane Suhr is often cited by papers focused on Topic Modeling (8 papers), Multimodal Machine Learning Applications (7 papers) and Natural Language Processing Techniques (4 papers). Alane Suhr collaborates with scholars based in United States and Israel. Alane Suhr's co-authors include Yoav Artzi, Mike Lewis, Peter Shaw, Kenton Lee, Ming‐Wei Chang, Yejin Choi, Iris Zhang, Peter West, Swabha Swayamdipta and Julian Michael and has published in prestigious journals such as AI Magazine and Transactions of the Association for Computational Linguistics.

In The Last Decade

Alane Suhr

10 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alane Suhr United States	7	178	118	18	8	5	11	212
Liunian Harold Li United States	8	181 1.0×	112 0.9×	8 0.4×	4 0.5×	2 0.4×	11	229
Patrick Xia United States	9	264 1.5×	60 0.5×	24 1.3×	3 0.4×	4 0.8×	14	284
Jan Buys United Kingdom	6	243 1.4×	75 0.6×	26 1.4×	4 0.5×	2 0.4×	19	265
Haozhe Ji China	7	285 1.6×	73 0.6×	36 2.0×	9 1.1×	2 0.4×	9	299
Alyssa Mensch United States	6	193 1.1×	314 2.7×	22 1.2×	6 0.8×	9 1.8×	8	369
Rongsheng Zhang China	8	168 0.9×	62 0.5×	15 0.8×	6 0.8×	3 0.6×	24	202
Feng Ji China	10	172 1.0×	55 0.5×	44 2.4×	17 2.1×	3 0.6×	25	211
Aditya Mogadala India	5	109 0.6×	53 0.4×	8 0.4×	4 0.5×	7 1.4×	14	152
Nikunj Saunshi United States	4	141 0.8×	62 0.5×	12 0.7×	4 0.5×	2 0.4×	8	181

Countries citing papers authored by Alane Suhr

Since Specialization

Citations

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

Fields of papers citing papers by Alane Suhr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alane Suhr

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

All Works

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11 of 11 papers shown

1.

Peng, Yi-Hao, Sanjay Subramanian, Maarten Sap, et al.. (2025). AutoPresent: Designing Structured Visuals from Scratch. 2902–2911.

2.

Liu, Alisa, Zhaofeng Wu, Julian Michael, et al.. (2023). We’re Afraid Language Models Aren’t Modeling Ambiguity. 790–807. 18 indexed citations

3.

Kumar, Sachin, et al.. (2023). Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. 13960–13980. 10 indexed citations

4.

Suhr, Alane, et al.. (2022). Abstract Visual Reasoning with Tangram Shapes. 582–601. 9 indexed citations

5.

Suhr, Alane, et al.. (2021). Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior. Transactions of the Association for Computational Linguistics. 9. 1303–1319. 2 indexed citations

6.

Suhr, Alane, Clara Vania, Nikita Nangia, et al.. (2021). Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection. 1–6. 4 indexed citations

7.

Suhr, Alane, Ming‐Wei Chang, Peter Shaw, & Kenton Lee. (2020). Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. 8372–8388. 39 indexed citations

8.

Suhr, Alane, et al.. (2019). Executing Instructions in Situated Collaborative Interactions. 2119–2130. 31 indexed citations

9.

Gardner, Matt, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, & Luke Zettlemoyer. (2018). Neural Semantic Parsing. 17–18. 10 indexed citations

10.

Suhr, Alane, et al.. (2018). Evaluating Visual Reasoning Through Grounded Language Understanding. AI Magazine. 39(2). 45–52. 1 indexed citations

11.

Suhr, Alane, et al.. (2017). A Corpus of Natural Language for Visual Reasoning. 217–223. 88 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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