The local structure of citation networks uncovers expert-selected milestone papers

Avrachenkov, 2008, A singular perturbation approach for choosing the pagerank damping factor, Internet Mathematics, 5, 47, 10.1080/15427951.2008.10129300 Berkhin, 2005, A survey on pagerank computing, Internet Mathematics, 2, 73, 10.1080/15427951.2005.10129098 Bornmann, 2020, Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts, arXiv, abs/2006.10606 Braun, 2006, A hirsch-type index for journals, Scientometrics, 69, 169, 10.1007/s11192-006-0147-4 Brin, 1998, The anatomy of a large-scale hypertextual web search engine, Computer Networks and ISDN Systems, 30, 107, 10.1016/S0169-7552(98)00110-X Chen, 2012, Identifying influential nodes in complex networks, Physica A: Statistical Mechanics and its Applications, 391, 1777, 10.1016/j.physa.2011.09.017 Chen, 2007, Finding scientific gems with google’s pagerank algorithm, Journal of Informetrics, 1, 8, 10.1016/j.joi.2006.06.001 Corrêa Jr, 2017, Patterns of authors contribution in scientific manuscripts, Journal of Informetrics, 11, 498, 10.1016/j.joi.2017.03.003 Dunaiski, 2018, Author ranking evaluation at scale, Journal of Informetrics, 12, 679, 10.1016/j.joi.2018.06.004 Dunaiski, 2019, On the interplay between normalisation, bias, and performance of paper impact metrics, Journal of Informetrics, 13, 270, 10.1016/j.joi.2019.01.003 Fontana, 2020, New and atypical combinations: An assessment of novelty and interdisciplinarity, Research Policy, 49, 104063, 10.1016/j.respol.2020.104063 Fortunato, 2018, Science of science, Science (New York, N.Y.), 359, 10.1126/science.aao0185 Franceschet, 2011, Pagerank: Standing on the shoulders of giants, Communications of the ACM, 54, 92, 10.1145/1953122.1953146 Friedkin, 1991, Theoretical foundations for centrality measures, American Journal of Sociology, 96, 1478, 10.1086/229694 Garfield, 2006, Citation indexes for science. a new dimension in documentation through association of ideas, International journal of epidemiology, 35, 1123, 10.1093/ije/dyl189 Hirsch, 2005, An index to quantify an individuals scientific research output, Proceedings of the National Academy of Sciences of the United States of America, 102, 16569, 10.1073/pnas.0507655102 Hu, 2018, Four pitfalls in normalizing citation indicators: An investigation of esi’s selection of highly cited papers, Journal of Informetrics, 12, 1133, 10.1016/j.joi.2018.09.006 Jiang, 2019, Forward search path count as an alternative indirect citation impact indicator, Journal of Informetrics, 13, 100977, 10.1016/j.joi.2019.100977 Liao, 2017, Ranking in evolving complex networks, Physics Reports, 689, 1, 10.1016/j.physrep.2017.05.001 Lü, 2016, Vital nodes identification in complex networks, Physics Reports, 650, 1, 10.1016/j.physrep.2016.06.007 Lü, 2012, Recommender systems, Physics Reports, 519, 1, 10.1016/j.physrep.2012.02.006 Lü, 2011, Leaders in social networks, the delicious case, PloS One, 6, e21202, 10.1371/journal.pone.0021202 Lü, 2016, The h-index of a network node and its relation to degree and coreness, Nature Communications, 7, 10168, 10.1038/ncomms10168 Mariani, 2019, Early identification of important patents: Design and validation of citation network metrics, Technological Forecasting and social change, 146, 644, 10.1016/j.techfore.2018.01.036 Mariani, 2015, Ranking nodes in growing networks: When pagerank fails, Scientific Reports, 5, 1, 10.1038/srep16181 Mariani, 2016, Identification of milestone papers through time-balanced network centrality, Journal of Informetrics, 10, 1207, 10.1016/j.joi.2016.10.005 Maslov, 2008, Promise and pitfalls of extending google’s pagerank algorithm to citation networks, Journal of Neuroscience, 28, 11103, 10.1523/JNEUROSCI.0002-08.2008 Medo, 2016, Model-based evaluation of scientific impact indicators, Physical Review E, 94, 032312, 10.1103/PhysRevE.94.032312 Morone, 2015, Influence maximization in complex networks through optimal percolation, Nature, 524, 65, 10.1038/nature14604 Newman, 2009, The first-mover advantage in scientific publication, EPL (Europhysics Letters), 86, 68001, 10.1209/0295-5075/86/68001 Price, 2011 Radicchi, 2011, Rescaling citations of publications in physics, Physical Review E, 83, 046116, 10.1103/PhysRevE.83.046116 Ren, 2019, Age preference of metrics for identifying significant nodes in growing citation networks, Physica A: Statistical Mechanics and its Applications, 513, 325, 10.1016/j.physa.2018.09.001 Ren, 2018, Randomizing growing networks with a time-respecting null model, Physical Review E, 97, 052311, 10.1103/PhysRevE.97.052311 Schubert, 2009, Using the h-index for assessing single publications, Scientometrics, 78, 559, 10.1007/s11192-008-2208-3 Travençolo, 2008, Accessibility in complex networks, Physics Letters A, 373, 89, 10.1016/j.physleta.2008.10.069 Vaccario, 2017, Quantifying and suppressing ranking bias in a large citation network, Journal of Informetrics, 11, 766, 10.1016/j.joi.2017.05.014 Walker, 2007, Ranking scientific publications using a model of network traffic, Journal of Statistical Mechanics: Theory and Experiment, 2007, P06010, 10.1088/1742-5468/2007/06/P06010 Waltman, 2016, A review of the literature on citation impact indicators, Journal of Informetrics, 10, 365, 10.1016/j.joi.2016.02.007 Wang, 2019, Ranking scientific publications considering the aging characteristics of citations, Scientometrics, 120, 155, 10.1007/s11192-019-03117-9 Xu, 2020, Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data, Journal of Informetrics, 14, 101005, 10.1016/j.joi.2019.101005 Zeng, 2017, The science of science: From the perspective of complex systems, Physics Reports, 714, 1, 10.1016/j.physrep.2017.10.001 Zhou, 2019, Fast influencers in complex networks, Communications in Nonlinear Science and Numerical Simulation, 74, 69, 10.1016/j.cnsns.2019.01.032