Citation dynamics and network
- Power-law citation distributions are not scale-free. PRE, 2017. arXiv:1708.01859.
- S Galiani, RH Gálvez. The Life Cycle of Scholarly Articles across Fields of Research. NBER WP, 2017.
- A Preferential Attachment Paradox: How does Preferential Attachment Combine with Growth to Produce Networks with Log-normal In-degree Distributions?. arXiv:1703.06645.
- Citation histories of papers: sometimes the rich get richer, sometimes they don't. arXiv:1703.04746.
- Science and Facebook: the same popularity law!. arXiv:1701.05347.
- M Golosovsky, S Solomon. Growing complex network of citations of scientific papers: Modeling and measurements. PRE, 2017.
Citations and Impact
- DS Hamermesh. Citations in Economics: Measurement, Uses and Impacts. NBER WP #21754, 2015.
- Identification of milestone papers through time-balanced network centrality. arXiv:1608.08414.
- X Cao, Y Chen, KJR Liu. A data analytic approach to quantifying scientific impact. Journal of Informetrics, 2016.
- BI Hutchins, X Yuan, JM Anderson, GM Santangelo. Relative Citation Ratio (RCR): A new metric that uses citation rates to measure influence at the article level.
- T Chakraborty et al. On the Categorization of Scientific Citation Profiles in Computer Science. CACM 58, 82-90 (2015).
- PDB Parolo et al. Attention decay in science. Journal of Informetrics 9, 734-745 (2015). arXiv:1503.01881.
DJ de Solla Price. A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science 27(5): 292-306, 1976.
L Šubelj, NJ van Eck, L Waltman. Clustering scientific publications based on citation relations: A systematic comparison of different methods. arXiv:1512.09023.
- Independent review of the role of metrics in research assessment.
- L Waltman. A review of the literature on citation impact indicators. arXiv:1507.02099.
- AFJ van Raan. Dormitory of Physical and Engineering Sciences: Sleeping Beauties May Be Sleeping Innovations Part 1: Basic Properties, Cognitive Environment, Characteristics of the Princes. arXiv:1506.01540
- S Maslov, S Redner. Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks. The Journal of Neuroscience, 28(44): 11103-11105, 2008.
Citation network and growth models
- Citation Distance: Measuring Changes in Scientific Search Strategies.
- V Ciotti et al. Homophily and missing links in citation networks. arXiv:1511.07643.
- M Medo, G Cimini, S Gualdi. Temporal Effects in the Growth of Networks. Phys. Rev. Lett. 107, 238701, 2011.
- Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science. arXiv:1705.02499.
- D Jurgens, S Kumar, R Hoover, D McFarland, D Jurafsky. Citation Classification for Behavioral Analysis of a Scientific Field. arXiv:1609.00435.
- C Catalini, N Lacetera, A Oettl. The incidence and role of negative citations in science. PNAS, 2015.
- MM King, CT Bergstrom, SJ Correll, J Jacquet, JD West. Men set their own cites high: Gender and self-citation across fields and over time. arXiv:1607.00376.
J Sienkiewicz, EG Altmann. Impact of lexical and sentiment factors on the popularity of scientific papers. Royal Society Open Science, 2016.
A Letchford, HS Moat, T Preis. The advantage of short paper titles. Royal Society Open Science 2(8), 2015.
A Rzhetsky, JG Foster, IT Foster, JA Evans. Choosing experiments to accelerate collective discovery. PNAS 112, 14569-14574 2015.
K McKeown et al. Predicting the impact of scientific concepts using full-text features. JASIST 2016.
Quantifying and suppressing ranking bias in a large citation network. arXiv:1703.08071.