Kevin W. Boyack

Statistics and Probability · 2004–2019

A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it; #1,628 of 12,932 by trust here, #1,403 by citations
• Molecular Biology — 19 citations into it; #1,568 of 17,773 by trust here, #8,480 by citations
• Statistical and Nonlinear Physics — 18 citations into it; #3,164 of 10,127 by trust here, #2,114 by citations
• Information Systems — 11 citations into it; #2,322 of 8,771 by trust here, #2,307 by citations
• Artificial Intelligence — 10 citations into it; #7,275 of 35,345 by trust here, #15,866 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #21,225 of 21,575 by trust here, #15,162 by citations
• Information Systems and Management — 6 citations into it; #3,402 of 3,842 by trust here, #2,891 by citations
• Computer Networks and Communications — 5 citations into it

Whom Kevin W. Boyack trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chaomei Chen
2. Eugene Garfield
3. Ludo Waltman
4. Richard Klavans
5. Jon M. Kleinberg
6. Mark Newman
7. Naoki Shibata
8. Shawn Martin
9. Jacob Gates Foster
10. Nees Jan van Eck

Who trusts Kevin W. Boyack overall

1. Nees Jan van Eck
2. Ludo Waltman
3. Richard Klavans
4. Alan L. Porter
5. Caleb M. Trujillo
6. Philip Hallinger
7. Marcello M. Mariani
8. Munan Li
9. Yuya Kajikawa
10. Henry G. Small

Papers from Kevin W. Boyack's perspective

Ordered by how strongly the researchers Kevin W. Boyack trusts endorse each paper. Same corpus, a different order for every researcher.

1. Modularity and community structure in networks.
2. Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
3. Bursty and Hierarchical Structure in Streams (Data mining and knowledge discovery)
4. CHARACTERISTICS OF HIGHLY CITED PAPERS
5. Tracking evolving communities in large linked networks (Proceedings of the National Academy of Sciences of the United States of America)
6. Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? (J. Assoc. Inf. Sci. Technol.)
7. Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace (Expert Opinion on Biological Therapy)
8. Identifying emerging topics in science and technology
9. A new methodology for constructing a publication-level classification system of science (J. Assoc. Inf. Sci. Technol.)
10. Citation indexes for science; a new dimension in documentation through association of ideas. (Science)

Their papers

• OpenOrd: an open-source toolbox for large graph layout (2011) — 325 citations
• Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? (2010) — 1,418 citations
• Mapping the backbone of science (2004) — 974 citations
• Identifying emerging topics in science and technology (2014) — 372 citations
• Which Type of Citation Analysis Generates the Most Accurate Taxonomy of Scientific and Technical Knowledge? (2015) — 322 citations
• Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature (2011) — 326 citations
• A standardized citation metrics author database annotated for scientific field (2019) — 306 citations