Helena Cousijn

2.9k citations
30 papers · 1.8k indexed · h-index 18
Topics
Research Data Management Practices (13 papers)Scientific Computing and Data Management (12 papers)Data Quality and Management (8 papers)
Journals
ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología

In The Last Decade

Helena Cousijn

30 papers receiving 1.7k citations

Peers

Helena Cousijn
Comparison fields: 5 of 141
  • Cognitive Neuroscience 1.1k
  • Behavioral Neuroscience 276
  • Cellular and Molecular Neuroscience 247
  • Experimental and Cognitive Psychology 230
  • Information Systems 180
Replace Kirstie Whitaker with:
Kirstie Whitaker United Kingdom
Michael Waskom United States
Shreejoy J. Tripathy Canada
D Rex United States
Christopher J. Markiewicz United States
Deanna M. Barch United States
Atsushi Sato Japan
Marlieke Van Kesteren Netherlands
Brendan M. Walker United States
Melanie J. Sekeres Canada
Helena Cousijn relative to Kirstie Whitaker United Kingdom Kirstie Whitaker's profile →
Citations per field
00.5×5.0×
Kirstie Whitaker · 1×
Citations per year

Countries citing papers authored by Helena Cousijn

Since Specialization
Citations

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

Fields of papers citing papers by Helena Cousijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helena Cousijn

This figure shows the co-authorship network connecting the top 25 collaborators of Helena Cousijn. A scholar is included among the top collaborators of Helena Cousijn 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 Helena Cousijn. Helena Cousijn 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
#WorkIndexed citations
1 22
2 4
3 2
4 1
5 2
6 1
7
Understanding Data Retrieval Practices: A Social Informatics Perspective
5
8 4
9 69
10 44
11 7
12 150
13 19
14 381
15 2
16 84
17 44
18 47
19 36
20 89

About Helena Cousijn

Helena Cousijn is a scholar working on Information Systems and Management, Behavioral Neuroscience and Management Science and Operations Research, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Research Data Management Practices (13 papers), Scientific Computing and Data Management (12 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Behavioral Neuroscience (276 citations), Cognitive Neuroscience (1.1k citations) and Information Systems and Management (167 citations). Helena Cousijn has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include George Wallis, Anna C. Nobre, Paul J. Harrison, Saskia Haegens, Guillén Fernández, Shaozheng Qin, Mark Rijpkema, Erno J. Hermans, Hein J. F. van Marle and Mark G. Stokes. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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