Bianca Kramer

3.4k citations
52 papers · 1.8k · 1 hit paper · h-index 18

Impact in

Papers in

Bianca Kramer

47 papers receiving 1.7k citations

Bianca Kramer's Hit Papers

Bayesian statistics and modelling 2021 · 616 citations
6160+1+3Years since publication200400600

Peers

Bianca Kramer
Comparison fields: 5 of 208
  • Statistics, Probability and Uncertainty 269
  • Developmental Neuroscience 115
  • Information Systems and Management 140
  • Cellular and Molecular Neuroscience 299
  • Health Informatics 19
Replace Jennifer J. Ware with:
Jennifer J. Ware United Kingdom
B. Ian Hutchins United States
Nathalie Percie du Sert United Kingdom
Melissa Haendel United States
Brendan A. Maher United States
Stacey J. Winham United States
Shlomo S. Sawilowsky United States
Alexander Ly Netherlands
Kimberly A. Stevens United States
Daniel Q. Naiman United States
Bianca Kramer relative to Jennifer J. Ware United Kingdom Jennifer J. Ware's profile →
Citations per field
00.5×9.6×
Jennifer J. Ware · 1×
Citations per year

Countries citing papers authored by Bianca Kramer

Since Specialization
Citations

This map shows the geographic impact of Bianca Kramer'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 Bianca Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bianca Kramer more than expected).

Fields of papers citing papers by Bianca Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bianca Kramer. 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 Bianca Kramer. The network helps show where Bianca Kramer may publish in the future.

Co-authors

The 25 scholars most cited alongside Bianca Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bianca Kramer Line = papers co-authored together Bianca Kramer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bayesian statistics and modelling
Hit paper breakdown →
2021616
2 2008180
3 2016144
4 201396
5 201973
6
An open source machine learning framework for efficient and transparent systematic reviews
202168
7 200665
8 202156
9 202155
10 200246
11 200238
12 201937
13 200233
14 199928
15 200222
16 202119
17
Characteristics of age-related language decline in adults with Down syndrome.
199119
18 201517
19 200117
20 200116

About Bianca Kramer

Bianca Kramer is a scholar working on Information Systems, Statistics, Probability and Uncertainty, Cellular and Molecular Neuroscience, Information Systems and Management and Molecular Biology, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Research Data Management Practices (12 papers), scientometrics and bibliometrics research (8 papers), Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Academic Publishing and Open Access (5 papers), Meta-analysis and systematic reviews (5 papers), Health Sciences Research and Education (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (269 citations), Developmental Neuroscience (115 citations), Information Systems and Management (140 citations), Cellular and Molecular Neuroscience (299 citations) and Health Informatics (19 citations). Bianca Kramer has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Wichor M. Bramer, Dean Giustini, Joukje E. Willemsen, Rens van de Schoot, Andrew Gelman, Ruth King, Christopher Yau, Mahlet G. Tadesse, Marina Vannucci and Sarah Depaoli. Their work appears in journals such as Nature Reviews Methods Primers, Endocrinology, Quantitative Science Studies, The Journal of Comparative Neurology and Insights the UKSG journal.

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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