Scientometrics (Vol. 117, No. 1, pp. 61-84.)

Shuo Xu, Junwan Liu, Dongsheng Zhai, Xin An, Zheng Wang, and Hongshen Pang(2018). Overlapping Thematic Structures Extraction with Mixed-Membership Stochastic Blockmodel. [journal article]

ISSI 2017 Conference Proceedings:

Velden T (2017). Methodological Challenges for the Comparison of Results of Topic Extraction from Scientific Literature. [local copy]

Waltman L, Boyack K W, Colavizza G, van Eck N J (2017). A principled methodology for comparing relatedness measures for clustering publications. [local copy]

Xu S, Liu J, Wang Z (2017). Overlapping Thematic Structures Extraction with Mixed-Membership Stochastic Blockmodel. [local copy]

Scientometrics Special Issue (Volume 111 Issue 2, May 2017):

Gläser J, Scharnhorst A & Glänzel, W (eds) (2017). Introduction: Same data – different results? Towards a comparative approach to the identification of thematic structures in science. DOI: 10.1007/s11192-017-2296-z [preprint][final journal version]

Boyack K (2017). Investigating the Effect of Global Data on Topic Detection. DOI: 10.1007/s11192-017-2297-y [preprint] [final journal version]

Wang S & Koopman R (2017). Clustering Articles Based on Semantic Similarity. DOI:10.1007/s11192-017-2298-x [preprint][final journal version]

Velden T, Yan S & Lagoze C (2017). Mapping the Cognitive Structure of Astrophysics by Infomap Clustering of the Citation Network and Topic Affinity Analysis. DOI: 10.1007/s11192-017-2299-9 [preprint][final journal version]

Van Eck, NJ & Waltman, L (2017). Citation-Based Clustering of Publications Using CitNetExplorer and VOSviewer. DOI: 10.1007/s11192-017-2300-7 [preprint][final journal version]

Glänzel, W & Thijs B (2017). Using Hybrid Methods and `Core Documents' for the Representation of Clusters and Topics. The Astronomy Dataset. DOI: 10.1007/s11192-017-2301-6

Havemann F, Gläser J & Heinz M (2017). Memetic Search for Overlapping Topics Based on a Local Evaluation of Link Communities. DOI: 10.1007/s11192-017-2302-5 [preprint][final journal version]

Koopman R, Wang S & Scharnhorst A (2017). Contextualization of Topics: Browsing through the Universe of Bibliographic Information. DOI: 10.1007/s11192-017-2303-4 [preprint][final journal version]

Boyack, K (2017). Thesaurus-Based Methods for Mapping Contents of Publication Sets. DOI: 10.1007/s11192-017-2304-3 [preprint][final journal version]

Koopman R & Wang S (2017). Mutual Information Based Labelling and Comparing Clusters. DOI: 10.1007/s11192-017-2305-2 [preprint][final journal version]

Velden T, Boyack K, Gläser J, Koopman R, Scharnhorst A & Wang S (2017). Comparison of Topic Extraction Approaches and Their Results. DOI: 10.1007/s11192-017-2306-1 [preprint][final journal version]

ISSI 2015 Conference Proceedings:

Boyack, KW (2015). Locating an Astronomy and Astrophysics Publication Set in a Map of the Full Scopus Database.

Glänzel W. & Thijs B (2015). Using hybrid methods and core documents' for the representation of clusters and topics. The astronomy dataset.

Havemann F, Gläser J & Heinz, M (2015). A Link-based Memetic Algorithm for Reconstructing Overlapping Topics from Networks of Papers and their Cited Sources.

Koopman R, Wang S, & Scharnhorst, A (2015). Contextualization of topics-browsing through terms, authors, journals and cluster allocations. [preprint]

Velden T, Yan S, & Lagoze C (2015). Topic Affinity Analysis for an Astronomy and Astrophysics Data Set.