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Finding scientific communities in citation graphs: Articles and authors [PDF]
Quantitative Science Studies, 2021 Understanding the nature and organization of scientific communities is of broad interest. The “Invisible College” is a historical metaphor for one such type of community that refers to a small group of scientists working on a problem of common interest ...
Shreya Chandrasekharan +6 more
doaj +6 more sources
Software and Dependencies in Research Citation Graphs [PDF]
Computing in Science & Engineering, 2019 Following the widespread digitalization of scholarship, software has become essential for research, but the current sociotechnical system of citation does not reflect this sufficiently.
Stephan Druskat
semanticscholar +5 more sources
Scientific Paper Extractive Summarization Enhanced by Citation Graphs [PDF]
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 In a citation graph, adjacent paper nodes share related scientific terms and topics. The graph thus conveys unique structure information of document-level relatedness that can be utilized in the paper summarization task, for exploring beyond the intra ...
Xiuying Chen +5 more
semanticscholar +3 more sources
IEEE Access, 2023 One of the key goals of Informetrics is to identify citation-based popular articles among so many other aspects, such as determining popular research topics, identifying influential scholars, and predicting hot trends in science. These can be achieved by
Khushnood Abbas +9 more
doaj +2 more sources
ON CLUSTERING TECHNIQUES OF CITATION GRAPHS. [PDF]
, 1967 Abstract : The study is an application of graph theory to the problem of clustering in document retrieval systems using bibliographic coupling devices. The problem is attacked by mapping the citation graph of the document collection into a unidimensional storage array.
F. Preparata, R. Chien
semanticscholar +2 more sources
CoRRCitation graph visualisation is a useful tool for contextual awareness in academic research. Unfortunately, existing solutions can suffer from several drawbacks, such as a poor scaling, shallow network traversal, freemium gating, and slow build times ...
Harry Ballington
semanticscholar +3 more sources
Data citation and the citation graph [PDF]
Quantitative Science Studies, 2021 Abstract The citation graph is a computational artifact that is widely used to represent the domain of published literature. It represents connections between published works, such as citations and authorship. Among other things, the graph supports the computation of bibliometric measures such as h-indexes and impact factors.
Peter Buneman +3 more
openaire +4 more sources
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs [PDF]
Knowledge Discovery and Data Mining, 2023 Quantitatively profiling a scholar's scientific impact is important to modern research society. Current practices with bibliometric indicators (e.g., h-index), lists, and networks perform well at scholar ranking, but do not provide structured context for
Yuan Luo +6 more
semanticscholar +1 more source
Citation Recommendation for Research Papers via Knowledge Graphs [PDF]
International Conference on Theory and Practice of Digital Libraries, 2021 Citation recommendation for research papers is a valuable task that can help researchers improve the quality of their work by suggesting relevant related work.
Arthur Brack, Anett Hoppe, R. Ewerth
semanticscholar +1 more source
SEAL: Semantically Enriched Authoring in LATEX—A Model for Scientific Discourse
IEEE Access, 2022 Semantic tags can enrich citation graphs by inter-connecting papers with citation reasons. One of the best sources of knowledge to tell the reason for citation is the author himself.
Imran Ihsan +5 more
doaj +1 more source