Sara van Erp

26 total papers · 778 total citations
11 papers, 409 citations indexed

About

Sara van Erp is a scholar working on Statistics and Probability, Computer Networks and Communications and Clinical Psychology. According to data from OpenAlex, Sara van Erp has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 2 papers in Computer Networks and Communications and 2 papers in Clinical Psychology. Recurrent topics in Sara van Erp's work include Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Methods and Models (3 papers). Sara van Erp is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Methods and Models (3 papers). Sara van Erp collaborates with scholars based in Netherlands, United States and United Kingdom. Sara van Erp's co-authors include Joris Mulder, Daniel L. Oberski, Eric‐Jan Wagenmakers, Raoul P. P. P. Grasman, Josine Verhagen, Quentin F. Gronau, Kai J. Jonas, Joseph Cesario, Daniel W. Heck and William J. Browne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Methods and Learning and Instruction.

In The Last Decade

Sara van Erp

11 papers receiving 402 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara van Erp 111 82 62 56 53 11 409
Hilde Elisabeth Maria Augusteijn 54 0.5× 92 1.1× 123 2.0× 56 1.0× 76 1.4× 5 457
Jennifer Williams 104 0.9× 43 0.5× 111 1.8× 74 1.3× 26 0.5× 6 428
Russell S. Vaught 69 0.6× 31 0.4× 33 0.5× 14 0.3× 77 1.5× 12 449
Douglas B. Clarkson 158 1.4× 63 0.8× 28 0.5× 56 1.0× 39 0.7× 20 482
Alyssa Counsell 53 0.5× 95 1.2× 22 0.4× 15 0.3× 26 0.5× 21 386
J. Stanley Ahmann 80 0.7× 55 0.7× 19 0.3× 23 0.4× 19 0.4× 23 450
Antonio Calcagnì 81 0.7× 53 0.6× 19 0.3× 50 0.9× 98 1.8× 36 481
Daniel Lee 62 0.6× 31 0.4× 22 0.4× 50 0.9× 40 0.8× 12 428
Jay Schaffer 99 0.9× 23 0.3× 105 1.7× 15 0.3× 20 0.4× 13 478
Fan Jia 116 1.0× 38 0.5× 13 0.2× 22 0.4× 37 0.7× 34 437

Countries citing papers authored by Sara van Erp

Since Specialization
Citations

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

Fields of papers citing papers by Sara van Erp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara van Erp. 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 Sara van Erp. The network helps show where Sara van Erp may publish in the future.

Co-authorship network of co-authors of Sara van Erp

This figure shows the co-authorship network connecting the top 25 collaborators of Sara van Erp. A scholar is included among the top collaborators of Sara van Erp 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 Sara van Erp. Sara van Erp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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