Richard Klavans

Molecular Biology · 2004–2019

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it; #1,567 of 17,773 by trust here, #8,791 by citations
• Statistics and Probability — 14 citations into it; #1,670 of 12,932 by trust here, #1,457 by citations
• Statistical and Nonlinear Physics — 13 citations into it; #3,163 of 10,127 by trust here, #2,114 by citations
• Artificial Intelligence — 8 citations into it; #7,274 of 35,345 by trust here, #15,866 by citations
• Computer Vision and Pattern Recognition — 6 citations into it; #21,224 of 21,575 by trust here, #15,162 by citations
• Computer Networks and Communications — 5 citations into it
• Information Systems — 5 citations into it; #2,321 of 8,771 by trust here, #2,307 by citations

Whom Richard Klavans trusts overall

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

1. Kevin W. Boyack
2. Eugene Garfield
3. Ludo Waltman
4. Mark Newman
5. Jacob Gates Foster
6. Chaomei Chen
7. Shawn Martin
8. Nees Jan van Eck
9. Jon M. Kleinberg
10. Dag W. Aksnes

Who trusts Richard Klavans overall

1. Nees Jan van Eck
2. Ludo Waltman
3. Kevin W. Boyack
4. Alan L. Porter
5. Caleb M. Trujillo
6. R. Have
7. Philip Hallinger
8. Marcello M. Mariani
9. Munan Li
10. Yuya Kajikawa

Papers from Richard Klavans's perspective

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

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
• A standardized citation metrics author database annotated for scientific field (2019) — 306 citations