Ruth Urner

457 total citations
14 papers, 128 citations indexed

About

Ruth Urner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Ruth Urner has authored 14 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ruth Urner's work include Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ruth Urner is often cited by papers focused on Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Ruth Urner collaborates with scholars based in Canada, Germany and United States. Ruth Urner's co-authors include Shai Ben-David, Gerd Grau, Shai Shalev‐Shwartz, Ohad Shamir, Anastasia Pentina, Haiko Müller, Nika Haghtalab, Pranjal Awasthi, Maria-Florina Balcan and Samory Kpotufe and has published in prestigious journals such as Journal of Machine Learning Research, Discrete Applied Mathematics and Annals of Mathematics and Artificial Intelligence.

In The Last Decade

Ruth Urner

14 papers receiving 121 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruth Urner Canada	6	81	24	22	15	13	14	128
Meng Liao China	7	190 2.3×	52 2.2×	33 1.5×	4 0.3×	8 0.6×	14	261
Asad Ullah Khan Pakistan	3	37 0.5×	16 0.7×	25 1.1×	2 0.1×	7 0.5×	6	137
Yufan Jiang China	8	93 1.1×	18 0.8×	37 1.7×	1 0.1×	6 0.5×	26	173
Arun Ahuja United States	6	119 1.5×	6 0.3×	87 4.0×	3 0.2×	8 0.6×	12	177
Omar A. Imran Iraq	4	18 0.2×	37 1.5×	23 1.0×	2 0.1×	9 0.7×	9	83
Ziyi Yang China	7	73 0.9×	22 0.9×	55 2.5×	1 0.1×	3 0.2×	22	167
Shruti Bhargava Choubey India	8	62 0.8×	25 1.0×	43 2.0×	2 0.1×	11 0.8×	39	166
Fabian B. Fuchs Germany	5	22 0.3×	3 0.1×	16 0.7×	4 0.3×	4 0.3×	9	61
Philipp Dufter Germany	6	149 1.8×	7 0.3×	63 2.9×	2 0.1×	3 0.2×	17	195

Countries citing papers authored by Ruth Urner

Since Specialization

Citations

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

Fields of papers citing papers by Ruth Urner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Urner

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

All Works

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14 of 14 papers shown

Urner, Ruth, et al.. (2022). Learning Losses for Strategic Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7337–7344. 2 indexed citations

Urner, Ruth, et al.. (2022). Machine learning based data driven inkjet printed electronics: jetting prediction for novel inks. Flexible and Printed Electronics. 7(1). 15009–15009. 33 indexed citations

Pentina, Anastasia & Ruth Urner. (2016). Lifelong Learning with Weighted Majority Votes. MPG.PuRe (Max Planck Society). 29. 3612–3620. 5 indexed citations

Kpotufe, Samory, Ruth Urner, & Shai Ben-David. (2015). Hierarchical Label Queries with Data-Dependent Partitions. Journal of Machine Learning Research. 40(2015). 1176–1189. 3 indexed citations

Urner, Ruth, et al.. (2015). Active Nearest Neighbors in Changing Environments. MPG.PuRe (Max Planck Society). 1870–1879. 8 indexed citations

Awasthi, Pranjal, Maria-Florina Balcan, Nika Haghtalab, & Ruth Urner. (2015). Efficient Learning of Linear Separators under Bounded Noise. MPG.PuRe (Max Planck Society). 167–190. 5 indexed citations

Ben-David, Shai & Ruth Urner. (2014). The sample complexity of agnostic learning under deterministic labels. Conference on Learning Theory. 527–542. 3 indexed citations

Urner, Ruth, et al.. (2013). PLAL: Cluster-based active learning. Conference on Learning Theory. 376–397. 11 indexed citations

Urner, Ruth, et al.. (2013). Monochromatic Bi-Clustering. International Conference on Machine Learning. 145–153. 4 indexed citations

10.

Ben-David, Shai & Ruth Urner. (2013). Domain adaptation–can quantity compensate for quality?. Annals of Mathematics and Artificial Intelligence. 70(3). 185–202. 25 indexed citations

11.

Ben-David, Shai, Shai Shalev‐Shwartz, & Ruth Urner. (2012). Domain Adaptation--Can Quantity compensate for Quality?.. 2 indexed citations

12.

Urner, Ruth, Shai Ben-David, & Ohad Shamir. (2012). Learning from Weak Teachers. International Conference on Artificial Intelligence and Statistics. 1252–1260. 11 indexed citations

13.

Urner, Ruth, Shai Shalev‐Shwartz, & Shai Ben-David. (2011). Access to Unlabeled Data can Speed up Prediction Time. International Conference on Machine Learning. 641–648. 13 indexed citations

14.

Müller, Haiko & Ruth Urner. (2009). On a disparity between relative cliquewidth and relative NLC-width. Discrete Applied Mathematics. 158(7). 828–840. 3 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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