Richard Klavans

7.0k total citations · 2 hit papers
54 papers, 4.8k citations indexed

About

Richard Klavans is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Molecular Biology. According to data from OpenAlex, Richard Klavans has authored 54 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics, Probability and Uncertainty, 10 papers in Information Systems and 9 papers in Molecular Biology. Recurrent topics in Richard Klavans's work include scientometrics and bibliometrics research (32 papers), Biomedical Text Mining and Ontologies (8 papers) and Complex Network Analysis Techniques (8 papers). Richard Klavans is often cited by papers focused on scientometrics and bibliometrics research (32 papers), Biomedical Text Mining and Ontologies (8 papers) and Complex Network Analysis Techniques (8 papers). Richard Klavans collaborates with scholars based in United States, Netherlands and United Kingdom. Richard Klavans's co-authors include Kevin W. Boyack, Katy Börner, John P. A. Ioannidis, Henry Small, Jeroen Baas, Shawn Martin, William M. Brown, Aaron A. Sorensen, Harold A. Linstone and Carl W. I. Pistorius and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Richard Klavans

54 papers receiving 4.5k citations

Hit Papers

Co‐citation analysis, bibliographic coupling, and direct ... 2005 2026 2012 2019 2010 2005 250 500 750 1000

Peers

Richard Klavans
James A. Evans United States
Howard D. White United States
Kevin W. Boyack United States
Katy Börner United States
Leo Egghe Belgium
Dashun Wang United States
Erjia Yan United States
Katherine W. McCain United States
Ismael Ràfols United Kingdom
James A. Evans United States
Richard Klavans
Citations per year, relative to Richard Klavans Richard Klavans (= 1×) peers James A. Evans

Countries citing papers authored by Richard Klavans

Since Specialization
Citations

This map shows the geographic impact of Richard Klavans's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard Klavans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Klavans more than expected).

Fields of papers citing papers by Richard Klavans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Klavans. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard Klavans. The network helps show where Richard Klavans may publish in the future.

Co-authorship network of co-authors of Richard Klavans

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Klavans. A scholar is included among the top collaborators of Richard Klavans based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Klavans. Richard Klavans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Derrick, Gemma, et al.. (2023). Targeted, actionable and fair: Reviewer reports as feedback and its effect on ECR career choices. Research Evaluation. 32(4). 648–657. 2 indexed citations
2.
Boyack, Kevin W. & Richard Klavans. (2022). An improved practical approach to forecasting exceptional growth in research. Quantitative Science Studies. 3(3). 672–693. 2 indexed citations
3.
Calof, Jonathan, et al.. (2022). Understanding the structure, characteristics, and future of collective intelligence using local and global bibliometric analyses. Technological Forecasting and Social Change. 178. 121561–121561. 19 indexed citations
4.
Klavans, Richard, et al.. (2022). Award rate inequities in biomedical research. PLoS ONE. 17(7). e0270612–e0270612. 4 indexed citations
5.
Rahkovsky, Ilya, et al.. (2021). AI Research Funding Portfolios and Extreme Growth. SHILAP Revista de lepidopterología. 6. 630124–630124. 13 indexed citations
6.
Klavans, Richard, Kevin W. Boyack, & Dewey Murdick. (2020). A novel approach to predicting exceptional growth in research. PLoS ONE. 15(9). e0239177–e0239177. 14 indexed citations
7.
Boyack, Kevin W., et al.. (2020). A detailed open access model of the PubMed literature. Scientific Data. 7(1). 408–408. 18 indexed citations
8.
Ioannidis, John P. A., Jeroen Baas, Richard Klavans, & Kevin W. Boyack. (2019). A standardized citation metrics author database annotated for scientific field. PLoS Biology. 17(8). e3000384–e3000384. 195 indexed citations
9.
Boyack, Kevin W. & Richard Klavans. (2018). Accurately identifying topics using text: Mapping PubMed. Leiden Repository (Leiden University). 107–115. 9 indexed citations
10.
Klavans, Richard & Kevin W. Boyack. (2017). The Research Focus of Nations: Economic vs. Altruistic Motivations. PLoS ONE. 12(1). e0169383–e0169383. 18 indexed citations
11.
Ioannidis, John P. A., Richard Klavans, & Kevin W. Boyack. (2016). Multiple Citation Indicators and Their Composite across Scientific Disciplines. PLoS Biology. 14(7). e1002501–e1002501. 83 indexed citations
12.
Ioannidis, John P. A., Kevin W. Boyack, Henry Small, Aaron A. Sorensen, & Richard Klavans. (2014). Bibliometrics: Is your most cited work your best?. Nature. 514(7524). 561–562. 90 indexed citations
13.
Ioannidis, John P. A., Kevin W. Boyack, & Richard Klavans. (2014). Estimates of the Continuously Publishing Core in the Scientific Workforce. PLoS ONE. 9(7). e101698–e101698. 104 indexed citations
14.
Boyack, Kevin W., Richard Klavans, Henry Small, & Lyle Ungar. (2012). Characterizing emergence using a detailed micro-model of science: Investigating two hot topics in nanotechnology. Portland International Conference on Management of Engineering and Technology. 2605–2611. 4 indexed citations
15.
Börner, Katy, et al.. (2012). Design and Update of a Classification System: The UCSD Map of Science. PLoS ONE. 7(7). e39464–e39464. 160 indexed citations
16.
Martin, Shawn, William M. Brown, Richard Klavans, & Kevin W. Boyack. (2011). OpenOrd: an open-source toolbox for large graph layout. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7868. 786806–786806. 172 indexed citations
17.
Boyack, Kevin W., David Newman, Russell J. Duhon, et al.. (2011). Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches. PLoS ONE. 6(3). e18029–e18029. 196 indexed citations
18.
Boyack, Kevin W. & Richard Klavans. (2010). Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?. Journal of the American Society for Information Science and Technology. 61(12). 2389–2404. 1031 indexed citations breakdown →
19.
Klavans, Richard & Kevin W. Boyack. (2005). Predicting the importance of current papers.. European Journal of Medicinal Chemistry. 55. 455–61. 24 indexed citations
20.
Klavans, Richard. (1990). SCIENTIFIC ACTIVITY, INDUSTRY STRUCTURE AND FIRM STRATEGY.. Academy of Management Proceedings. 1990(1). 22–26. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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