Brandon Norick

1.9k citations
12 papers · 1.0k indexed · 1 hit paper · h-index 10

Impact in

Papers in

Brandon Norick

11 papers receiving 1.0k citations

Hit Papers

Personalized entity recommendation 2014 · 472 citations
4722014202620182022100200300400

Peers

Brandon Norick
Comparison fields: 5 of 56
  • Information Systems 637
  • Artificial Intelligence 861
  • Statistical and Nonlinear Physics 302
  • Computational Mathematics 11
  • Computer Networks and Communications 174
Replace Xiwang Yang with:
Xiwang Yang China
Naama Zwerdling Israel
Shulong Tan China
Wensi Xi United States
Mingdong Ou China
Junichi Tatemura United States
Christopher DuBois United States
Jianxun Lian China
Amin Mantrach Spain
Brandon Norick relative to Xiwang Yang China Xiwang Yang's profile →
Citations per field
00.5×1.5×2.0×
Xiwang Yang · 1×
Citations per year

Countries citing papers authored by Brandon Norick

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Norick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Brandon Norick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brandon Norick Line = papers co-authored together Brandon Norick links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20250
2 20184
3 201757
4 201661
5
Personalized entity recommendation
Hit paper breakdown →
2014472
6 201410
7 2013119
8 2013131
9 201326
10 201229
11 2012129
12 20109

About Brandon Norick

Brandon Norick is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computer Science Applications, Hardware and Architecture and Information Systems, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (5 papers), Text and Document Classification Technologies (4 papers), Advanced Clustering Algorithms Research (3 papers), Caching and Content Delivery (2 papers), Recommender Systems and Techniques (2 papers), Image Processing and 3D Reconstruction (1 paper) and Software Engineering Research (1 paper). The work is most often cited by research in Information Systems (637 citations), Artificial Intelligence (861 citations), Statistical and Nonlinear Physics (302 citations), Computational Mathematics (11 citations) and Computer Networks and Communications (174 citations). Brandon Norick has collaborated with scholars based in United States and Jamaica. Frequent co-authors include Jiawei Han, Yizhou Sun, Xiao Yu, Xiang Ren, Quanquan Gu, Urvashi Khandelwal, Bradley Sturt, Xifeng Yan, Philip S. Yu and Xiao Yu. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data and IEEE Transactions on Knowledge and Data Engineering.

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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