Jennifer Haase

58 total papers · 716 total citations
21 papers, 368 citations indexed

About

Jennifer Haase is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Jennifer Haase has authored 21 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 4 papers in Social Psychology and 4 papers in Cognitive Neuroscience. Recurrent topics in Jennifer Haase's work include Creativity in Education and Neuroscience (8 papers), Innovative Teaching and Learning Methods (2 papers) and Digital Transformation in Industry (2 papers). Jennifer Haase is often cited by papers focused on Creativity in Education and Neuroscience (8 papers), Innovative Teaching and Learning Methods (2 papers) and Digital Transformation in Industry (2 papers). Jennifer Haase collaborates with scholars based in Germany, United Kingdom and United States. Jennifer Haase's co-authors include Paul H. P. Hanel, Åse Innes-Ker, Eva Hoff, Norbert Gronau, Annette Kluge, Gergana Vladova, Niels Pinkwart, Thomas Grisold, Jan Mendling and Sascha Friesike and has published in prestigious journals such as SHILAP Revista de lepidopterología, Personality and Individual Differences and Frontiers in Psychology.

In The Last Decade

Jennifer Haase

20 papers receiving 346 citations

Hit Papers

Artificial muses: Generat... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Jennifer Haase 200 60 53 45 45 21 368
Michael Hanchett Hanson 243 1.2× 90 1.5× 80 1.5× 50 1.1× 21 0.5× 16 416
Shyhnan Liou 105 0.5× 97 1.6× 37 0.7× 34 0.8× 57 1.3× 39 355
Walter Reitman 108 0.5× 67 1.1× 78 1.5× 78 1.7× 14 0.3× 24 406
Holly K. Osburn 121 0.6× 97 1.6× 32 0.6× 25 0.6× 89 2.0× 11 359
María Teresa Sanz de Acedo Baquedano 103 0.5× 75 1.3× 31 0.6× 112 2.5× 26 0.6× 27 387
Kamila Urban 146 0.7× 39 0.7× 59 1.1× 134 3.0× 11 0.2× 34 366
Cynthia M. Sifonis 291 1.5× 117 1.9× 132 2.5× 73 1.6× 19 0.4× 11 441
Robert J. Crutcher 127 0.6× 54 0.9× 118 2.2× 160 3.6× 12 0.3× 14 366
Liam Hudson 114 0.6× 65 1.1× 32 0.6× 84 1.9× 10 0.2× 30 367
Laurie Thomas 45 0.2× 103 1.7× 24 0.5× 82 1.8× 38 0.8× 28 366

Countries citing papers authored by Jennifer Haase

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Haase

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Haase. A scholar is included among the top collaborators of Jennifer Haase 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 Jennifer Haase. Jennifer Haase 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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