Rocío Cañamares

423 total citations
9 papers, 182 citations indexed

About

Rocío Cañamares is a scholar working on Information Systems, Management Science and Operations Research and Marketing. According to data from OpenAlex, Rocío Cañamares has authored 9 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Management Science and Operations Research and 3 papers in Marketing. Recurrent topics in Rocío Cañamares's work include Recommender Systems and Techniques (9 papers), Advanced Bandit Algorithms Research (7 papers) and Consumer Market Behavior and Pricing (3 papers). Rocío Cañamares is often cited by papers focused on Recommender Systems and Techniques (9 papers), Advanced Bandit Algorithms Research (7 papers) and Consumer Market Behavior and Pricing (3 papers). Rocío Cañamares collaborates with scholars based in Spain and Australia. Rocío Cañamares's co-authors include Pablo Castells, Alistair Moffat, Mark Sanderson and Yongli Ren and has published in prestigious journals such as ACM Transactions on Information Systems, Information Retrieval and RMIT Research Repository (RMIT University Library).

In The Last Decade

Rocío Cañamares

9 papers receiving 169 citations

Peers

Rocío Cañamares

IS

MSOR

AI

CVPR

MARKE

Tianxin Wei United States

Dugang Liu China

Teng Xiao China

Sehee Chung South Korea

Jinbae Im South Korea

Biao Li China

Andreas Lommatzsch Germany

Benjamin Kille Germany

Shuqing Bian China

Tianxin Wei United States

Rocío Cañamares

247 ×1.5

IS

107 ×0.9

MSOR

218 ×2.6

AI

42 ×1.7

CVPR

15 ×1.0

MARKE

Citations per year, relative to Rocío Cañamares Rocío Cañamares (= 1×) peers Tianxin Wei

Countries citing papers authored by Rocío Cañamares

Since Specialization

Citations

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

Fields of papers citing papers by Rocío Cañamares

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rocío Cañamares

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

All Works

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9 of 9 papers shown

1.

Cañamares, Rocío, et al.. (2021). Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. ACM Transactions on Information Systems. 39(3). 1–43. 14 indexed citations

2.

Cañamares, Rocío, et al.. (2020). Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation. RMIT Research Repository (RMIT University Library). 841–850. 11 indexed citations

3.

Cañamares, Rocío & Pablo Castells. (2020). On Target Item Sampling in Offline Recommender System Evaluation. 259–268. 15 indexed citations

4.

Cañamares, Rocío, Pablo Castells, & Alistair Moffat. (2020). Offline evaluation options for recommender systems. Information Retrieval. 23(4). 387–410. 28 indexed citations

5.

Cañamares, Rocío, et al.. (2019). Multi-armed recommender system bandit ensembles. 432–436. 17 indexed citations

6.

Cañamares, Rocío & Pablo Castells. (2018). From the PRP to the Low Prior Discovery Recall Principle for Recommender Systems. 1081–1084. 2 indexed citations

7.

Cañamares, Rocío & Pablo Castells. (2018). Should I Follow the Crowd?. 415–424. 66 indexed citations

8.

Cañamares, Rocío & Pablo Castells. (2017). A Probabilistic Reformulation of Memory-Based Collaborative Filtering. 215–224. 26 indexed citations

9.

Cañamares, Rocío & Pablo Castells. (2014). Exploring social network effects on popularity biases in recommender systems. Conference on Recommender Systems. 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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