| Predicted packet padding for anonymous web browsing against traffic analysis attacks S Yu, G Zhao, W Dou, S James IEEE Transactions on Information Forensics and Security 7 (4), 1381-1393, 2012 | 262 | 2012 |
| Generalized Bonferroni mean operators in multi-criteria aggregation G Beliakov, S James, J Mordelová, T Rückschlossová, RR Yager Fuzzy Sets and Systems 161 (17), 2227-2242, 2010 | 239 | 2010 |
| Discrete fuzzy measures G Beliakov, S James, J Wu Springer International Publishing, 2020 | 108 | 2020 |
| Citation-based journal ranks: the use of fuzzy measures G Beliakov, S James Fuzzy Sets and Systems 167 (1), 101-119, 2011 | 85 | 2011 |
| Averaging aggregation functions for preferences expressed as Pythagorean membership grades and fuzzy orthopairs G Beliakov, S James 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 298-305, 2014 | 84 | 2014 |
| Consensus measures constructed from aggregation functions and fuzzy implications G Beliakov, T Calvo, S James Knowledge-Based Systems 55, 1-8, 2014 | 84 | 2014 |
| On extending generalized Bonferroni means to atanassov orthopairs in decision making contexts G Beliakov, S James Fuzzy Sets and Systems, 2012 | 81 | 2012 |
| Consensus in multi-expert decision making problems using penalty functions defined over a Cartesian product of lattices H Bustince, E Barrenechea, T Calvo, S James, G Beliakov Information Fusion 17, 56-64, 2014 | 80 | 2014 |
| Learning Choquet-integral-based metrics for semisupervised clustering G Beliakov, S James, G Li IEEE Transactions on Fuzzy Systems 19 (3), 562-574, 2011 | 80 | 2011 |
| Aggregation for Atanassov’s intuitionistic and interval valued fuzzy sets: The median operator G Beliakov, H Bustince, S James, T Calvo, J Fernandez IEEE Transactions on Fuzzy Systems 20 (3), 487-498, 2011 | 79 | 2011 |
| Compact cities or sprawling suburbs? Optimising the distribution of people in cities to maximise species diversity A Geschke, S James, AF Bennett, DG Nimmo Journal of applied ecology 55 (5), 2320-2331, 2018 | 76 | 2018 |
| Fire and climatic extremes shape mammal distributions in a fire‐prone landscape S Hale, DG Nimmo, R Cooke, G Holland, S James, M Stevens, ... Diversity and Distributions 22 (11), 1127-1138, 2016 | 71 | 2016 |
| Aggregation of preferences in recommender systems G Beliakov, T Calvo, S James Recommender systems handbook, 705-734, 2011 | 57 | 2011 |
| Texture recognition by using GLCM and various aggregation functions G Beliakov, S James, L Troiano 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on …, 2008 | 55 | 2008 |
| A guide to representing variability and uncertainty in biodiversity indicators JA Rowland, LM Bland, S James, E Nicholson Conservation Biology 35 (5), 1669-1682, 2021 | 25 | 2021 |
| An introduction to data analysis using aggregation functions in R S James Springer International Publishing, 2016 | 24 | 2016 |
| Stability of weighted penalty-based aggregation functions G Beliakov, S James Fuzzy Sets and Systems 226, 1-18, 2013 | 24 | 2013 |
| Supervised learning to aggregate data with the Sugeno integral M Gagolewski, S James, G Beliakov IEEE Transactions on Fuzzy Systems 27 (4), 810-815, 2019 | 22 | 2019 |
| Bone mineral density is related to lung function outcomes in young people with cystic fibrosis—a retrospective study N Smith, A Lim, M Yap, L King, S James, A Jones, S Ranganathan, ... Pediatric Pulmonology 52 (12), 1558-1564, 2017 | 22 | 2017 |
| Aggregation functions for recommender systems G Beliakov, T Calvo, S James Recommender systems handbook, 777-808, 2015 | 21 | 2015 |
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