Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding
2017239 citationsChenyan Xiong, Russell Power et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Russell Power'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 Russell Power with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Russell Power more than expected).
This network shows the impact of papers produced by Russell Power. 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 Russell Power. The network helps show where Russell Power may publish in the future.
Co-authorship network of co-authors of Russell Power
This figure shows the co-authorship network connecting the top 25 collaborators of Russell Power.
A scholar is included among the top collaborators of Russell Power 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 Russell Power. Russell Power is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Huang, Chien-Chin, Qi Chen, Zhaoguo Wang, et al.. (2015). Spartan: a distributed array framework with smart tiling. 1–15.11 indexed citations
5.
Power, Russell, et al.. (2014). Abstractions for In-memory Distributed Computation.1 indexed citations
6.
Simperl, Elena, Barry Norton, Maribel Acosta, et al.. (2013). Using Linked Data Effectively. Open Research Online (The Open University).1 indexed citations
7.
Rubinsteyn, Alex, et al.. (2013). Learning Random Forests on the GPU.7 indexed citations
8.
Zhang, Yang, et al.. (2013). Transaction chains. 276–291.86 indexed citations
9.
Rubinsteyn, Alex, et al.. (2013). Learning random forest on the gpu: NIPS workshop on parallel and large-scale machine learning (Big Learning).
Power, Russell, et al.. (2010). Document classification for focused topics. National Conference on Artificial Intelligence. 67–72.7 indexed citations
15.
Power, Russell & Jinyang Li. (2010). Building fast, distributed programs with partitioned tables.48 indexed citations
16.
Power, Russell. (1995). How about a little respect?. PubMed. 58(12). 80–80.1 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.