Alane Suhr

45 total papers · 669 total citations
10 papers, 208 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 10 papers receiving a total of 208 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, Ming‐Wei Chang, Peter Shaw, Kenton Lee, Iris Zhang, Peter West, Yejin Choi, Pradeep Dasigi and Srinivasan Iyer 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 201 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alane Suhr 176 116 18 8 5 10 208
Liunian Harold Li 177 1.0× 111 1.0× 8 0.4× 4 0.5× 2 0.4× 11 220
Adhiguna Kuncoro 251 1.4× 53 0.5× 18 1.0× 9 1.1× 4 0.8× 11 291
Patrick Xia 263 1.5× 60 0.5× 24 1.3× 3 0.4× 4 0.8× 15 282
Jan Buys 242 1.4× 75 0.6× 26 1.4× 4 0.5× 2 0.4× 19 264
Suchin Gururangan 210 1.2× 43 0.4× 30 1.7× 4 0.5× 6 1.2× 12 264
Yan Wang 166 0.9× 58 0.5× 27 1.5× 4 0.5× 3 0.6× 14 213
Qihuang Zhong 216 1.2× 60 0.5× 19 1.1× 4 0.5× 2 0.4× 17 277
Rongzhong Lian 232 1.3× 54 0.5× 24 1.3× 3 0.4× 3 0.6× 12 248
Nikunj Saunshi 140 0.8× 62 0.5× 12 0.7× 4 0.5× 2 0.4× 8 180
Koustuv Sinha 172 1.0× 39 0.3× 16 0.9× 6 0.8× 5 1.0× 20 200

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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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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