Erik Saule
Identifiers
- name variant Erik Saule 0.60 · backfill
Papers (13)
- Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems cs.IR · 2018 · author #2
- Graph Embedding for Citation Recommendation cs.IR · 2018 · author #2
- Parallel Space-Time Kernel Density Estimation cs.DC · 2017 · author #1
- Greed is Good: Optimistic Algorithms for Bipartite-Graph Partial Coloring on Multicore Architectures cs.DC · 2017 · author #3
- Ab Initio No Core Shell Model - Recent Results and Further Prospects nucl-th · 2015 · author #16
- Accelerating Ab Initio Nuclear Physics Calculations with GPUs physics.comp-ph · 2014 · author #11
- On Distributed Graph Coloring with Iterative Recoloring cs.DC · 2014 · author #2
- Incremental Algorithms for Network Management and Analysis based on Closeness Centrality cs.DS · 2013 · author #3
- Performance Evaluation of Sparse Matrix Multiplication Kernels on Intel Xeon Phi cs.PF · 2013 · author #1
- Shattering and Compressing Networks for Centrality Analysis cs.DS · 2012 · author #2
- Diversifying Citation Recommendations cs.IR · 2012 · author #2
- Recommendation on Academic Networks using Direction Aware Citation Analysis cs.IR · 2012 · author #2
- Load-Balancing Spatially Located Computations using Rectangular Partitions cs.DC · 2011 · author #1
Mentions
Frequent Coauthors
- Kamer Kaya 6 shared papers
- \"Umit V. \c{C}ataly\"urek 5 shared papers
- Ahmet Erdem Sar{\i}y\"uce 2 shared papers
- Angelo Calci 2 shared papers
- Dossay Oryspayev 2 shared papers
- Haofeng Jia 2 shared papers
- Hugh Potter 2 shared papers
- Joachim Langhammer 2 shared papers
- Masha Sosonkina 2 shared papers
- Onur K\"u\c{c}\"uktun\c{c} 2 shared papers
- Pieter Maris 2 shared papers
- Robert Roth 2 shared papers
- Sven Binder 2 shared papers
- \"Umit \c{C}ataly\"urek 2 shared papers
- Umit V. Catalyurek 2 shared papers
- Ahmet Erdem Sariyuce 1 shared papers
- Alexander Hohl 1 shared papers
- Chao Yang 1 shared papers
- Dinesh Panchananam 1 shared papers
- Erdeniz \"O. Ba\c{s} 1 shared papers