Lutz Bornmann

Statistics and Probability · 2005–2020

A researcher in the Science corpus: 14 papers; trusts 43 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 55 citations into it; #1,007 of 12,932 by trust here, #795 by citations
• Economics and Econometrics — 26 citations into it
• Information Systems — 20 citations into it; #1,035 of 8,771 by trust here, #2,260 by citations
• Statistical and Nonlinear Physics — 17 citations into it; #5,061 of 10,127 by trust here, #9,682 by citations
• Information Systems and Management — 13 citations into it
• Artificial Intelligence — 12 citations into it; #32,708 of 35,345 by trust here, #34,213 by citations
• Global and Planetary Change — 12 citations into it; #7,193 of 10,225 by trust here, #9,422 by citations
• Sociology and Political Science — 10 citations into it; #10,735 of 22,756 by trust here, #10,424 by citations

Whom Lutz Bornmann trusts overall

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

1. Ben R. Martin
2. R. Rousseau
3. Anthony F. J. van Raan
4. Leo Egghe
5. M. Matzke
6. Barry Bozeman
7. Stan Lipovetsky
8. Donald Hedeker
9. Hans-Dieter Daniel
10. Philip Ball

Who trusts Lutz Bornmann overall

1. John C. Mingers
2. S. Ceci
3. Andrea Romei
4. Loet Leydesdorff
5. Mike W.-L. Cheung
6. Judit Bar-Ilan
7. Nicole Mitchell
8. Ludo Waltman
9. Sergio Alonso
10. Chaomei Chen

Papers from Lutz Bornmann's perspective

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

1. Index aims for fair ranking of scientists (Nature)
2. Theory and practise of the g-index (Scientometrics)
3. An index to quantify an individual's scientific research output (Proc. Natl. Acad. Sci. USA)
4. F1000Prime recommendation of An index to quantify an individual's scientific research output.
5. What do citation counts measure? A review of studies on citing behavior (J. Documentation)
6. An informetric model for the Hirsch-index (Scientometrics)
7. Is it possible to compare researchers with different scientific interests? (Scientometrics)
8. Fatal attraction: Conceptual and methodological problems in the ranking of universities by bibliometric methods (Scientometrics)
9. Generalized Latent Variable Modeling: Multilevel,Longitudinal, and Structural Equation Models (Technometrics)
10. Impact of bibliometrics upon the science system: Inadvertent consequences? (Scientometrics)

Their papers

• What do citation counts measure? A review of studies on citing behavior (2008) — 1,509 citations
• Does the h-index for ranking of scientists really work? (2005) — 415 citations
• What do we know about the h index? (2007) — 708 citations
• Scientific peer review (2011) — 501 citations
• Gender differences in grant peer review: A meta-analysis (2007) — 315 citations
• Gender Effects in the Peer Reviews of Grant Proposals: A Comprehensive Meta-Analysis Comparing Traditional and Multilevel Approaches (2009) — 171 citations
• Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references (2014) — 1,467 citations
• Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics (2014) — 583 citations
• Fast growing research on negative emissions (2017) — 149 citations
• What is societal impact of research and how can it be assessed? a literature survey (2013) — 646 citations
• Scientometrics in a changing research landscape (2014) — 323 citations
• Climate Change Research in View of Bibliometrics (2016) — 301 citations
• Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases (2020) — 481 citations
• A multilevel modelling approach to investigating the predictive validity of editorial decisions: do the editors of a high profile journal select manuscripts that are highly cited after publication? (2011) — 81 citations