Predicting Research Trends From Arxiv

He, Q., Chen, B., Pei, J., Qiu, B., Mitra, P., Giles, L.: Detecting topic evolution in scientific literature: How can citations help? In: Proceedings of the 18th ACM Conference on Information and Knowledge Management. pp. 957–966. CIKM ’09, ACM, New York, NY, USA (2009). https://doi.org/10.1145/1645953.1646076, http://doi.acm.org/10.1145/1645953.1646076

2009

Earlier work this paper cites.

Newman, M.E.: The first-mover advantage in scientific publication. EPL (Europhysics Letters) 86

2009

Earlier work this paper cites.

Duvvuru, A., Kamarthi, S., Sultornsanee, S.: Undercovering research trends: Network analysis of keywords in scholarly articles. In: 2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE)

2012

Earlier work this paper cites.

Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. CoRR abs/1301.3781

Original

2013

Earlier work this paper cites.

Newman, M.: Prediction of highly cited papers. EPL (Europhysics Letters) 105

2014

Cited alongside, same era.

Sarigöl, E., Pfitzner, R., Scholtes, I., Garas, A., Schweitzer, F.: Predicting scientific success based on coauthorship networks. EPJ Data Science 3

Original

2014

Cited alongside, same era.

Prabhakaran, V., Hamilton, W.L., McFarland, D., Jurafsky, D.: Predicting the rise and fall of scientific topics from trends in their rhetorical framing. In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). vol. 1, pp. 1170–1180 (2016)

2016

Cited alongside, same era.

Florescu, C., Caragea, C.: Positionrank: An unsupervised approach to keyphrase extraction from scholarly documents. In: ACL (1). pp. 1105–1115. Association for Computational Linguistics (2017)

2017

Cited alongside, same era.

Mukherjee, S., Romero, D.M., Jones, B., Uzzi, B.: The nearly universal link between the age of past knowledge and tomorrow’s breakthroughs in science and technology: The hotspot. Science advances 3

2017

Later among the works it cites.

Devlin, J., Chang, M., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. CoRR abs/1810.04805

Original

2018

Later among the works it cites.

Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of GANs for improved quality, stability, and variation. In: International Conference on Learning Representations (2018), https://openreview.net/forum?id=Hk99zCeAb

2018

Later among the works it cites.

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Osborne, F., Motta, E.: Classifying research papers with the computer science ontology. In: International Semantic Web Conference (P&D/Industry/BlueSky). CEUR Workshop Proceedings, vol. 2180. CEUR-WS.org (2018)

2018