Large-scale physical activity data reveal worldwide activity inequality T Althoff, R Sosic, JL Hicks, AC King, SL Delp, J Leskovec Nature 547 (7663), 336-339, 2017 | 1089 | 2017 |
Snap: A general-purpose network analysis and graph-mining library J Leskovec, R Sosič ACM Transactions on Intelligent Systems and Technology (TIST) 8 (1), 1-20, 2016 | 948 | 2016 |
Nimrod: a tool for performing parametrised simulations using distributed workstations D Abramson, R Sosic, J Giddy, B Hall Proceedings of the Fourth IEEE International Symposium on High Performance …, 1995 | 448 | 1995 |
BioSNAP Datasets: Stanford biomedical network dataset collection M Zitnik, R Sosic, J Leskovec Note: http://snap. stanford. edu/biodata Cited by 5 (1), 2018 | 169 | 2018 |
An ecosystem service perspective on urban nature, physical activity, and health RP Remme, H Frumkin, AD Guerry, AC King, L Mandle, C Sarabu, ... Proceedings of the National Academy of Sciences 118 (22), 2021 | 165 | 2021 |
Driver identification using automobile sensor data from a single turn D Hallac, A Sharang, R Stahlmann, A Lamprecht, M Huber, M Roehder, ... 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 163 | 2016 |
Efficient local search with conflict minimization: A case study of the N-queen problem R Sosic, J Gu IEEE Transactions on Knowledge and Data Engineering 6 (5), 661-668, 1994 | 152 | 1994 |
Evolution of resilience in protein interactomes across the tree of life M Zitnik, R Sosic, MW Feldman, J Leskovec Proceedings of the National Academy of Sciences 116 (10), 4426-4433, 2019 | 149 | 2019 |
Best practices for analyzing large-scale health data from wearables and smartphone apps JL Hicks, T Althoff, R Sosic, P Kuhar, B Bostjancic, AC King, J Leskovec, ... NPJ digital medicine 2 (1), 1-12, 2019 | 148 | 2019 |
Polynomial Time Algorithms for the N-Queen Problem R Sosic, J Gu ACM SIGART, 1990 | 135 | 1990 |
SNAP: A general purpose network analysis and graph mining library in C++ J Leskovec, R Sosic | 123 | 2014 |
Accurate influenza monitoring and forecasting using novel internet data streams: a case study in the Boston Metropolis FS Lu, S Hou, K Baltrusaitis, M Shah, J Leskovec, R Sosic, J Hawkins, ... JMIR public health and surveillance 4 (1), e4, 2018 | 120 | 2018 |
Fast search algorithms for the n-queens problem R Sosic, J Gu IEEE Transactions on Systems, Man, and Cybernetics 21 (6), 1572-1576, 1991 | 85 | 1991 |
Relative debugging: A new methodology for debugging scientific applications D Abramson, I Foster, J Michalakes, R Sosič Communications of the ACM 39 (11), 69-77, 1996 | 83 | 1996 |
Prioritizing network communities M Zitnik, R Sosic, J Leskovec Nature communications 9 (1), 1-9, 2018 | 80 | 2018 |
3,000,000 queens in less than one minute R Sosic, J Gu ACM SIGART Bulletin 2 (2), 22-24, 1991 | 69 | 1991 |
Optimal locking integrated with operational transformation in distributed real-time group editors C Sun, R Sosič Proceedings of the eighteenth annual ACM symposium on Principles of …, 1999 | 67 | 1999 |
Nifty: a system for large scale information flow tracking and clustering C Suen, S Huang, C Eksombatchai, R Sosic, J Leskovec Proceedings of the 22nd international conference on World Wide Web, 1237-1248, 2013 | 62 | 2013 |
Ringo: Interactive graph analytics on big-memory machines Y Perez, R Sosič, A Banerjee, R Puttagunta, M Raison, P Shah, ... Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 60 | 2015 |
F-fade: Frequency factorization for anomaly detection in edge streams YY Chang, P Li, R Sosic, MH Afifi, M Schweighauser, J Leskovec Proceedings of the 14th ACM international conference on web search and data …, 2021 | 59 | 2021 |