Steven J. Haase

59 total papers · 522 total citations
25 papers, 334 citations indexed

About

Steven J. Haase is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Steven J. Haase has authored 25 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 2 papers in Social Psychology. Recurrent topics in Steven J. Haase's work include Visual perception and processing mechanisms (12 papers), Neural and Behavioral Psychology Studies (9 papers) and Multisensory perception and integration (8 papers). Steven J. Haase is often cited by papers focused on Visual perception and processing mechanisms (12 papers), Neural and Behavioral Psychology Studies (9 papers) and Multisensory perception and integration (8 papers). Steven J. Haase collaborates with scholars based in United States and Mexico. Steven J. Haase's co-authors include Kurt A. Kaczmarek, Gary D. Fisk, Mitchell Tyler, David J. Beebe, Abhishek Agarwal, Jerry A. Carbo, Ian M. Langella, Viet T. Dao, Rick L. Jenison and John Theios and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Vision Research and Frontiers in Psychology.

In The Last Decade

Steven J. Haase

24 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Steven J. Haase 286 91 80 61 23 25 334
Vonne van Polanen 241 0.8× 42 0.5× 35 0.4× 43 0.7× 88 3.8× 21 304
Damien Ablart 210 0.7× 151 1.7× 172 2.1× 42 0.7× 70 3.0× 13 390
Lev Tankelevitch 131 0.5× 26 0.3× 24 0.3× 72 1.2× 38 1.7× 20 379
Patrice Terrier 114 0.4× 56 0.6× 47 0.6× 30 0.5× 82 3.6× 30 328
Helena De Preester 191 0.7× 58 0.6× 72 0.9× 16 0.3× 142 6.2× 31 370
Brian O'Shaughnessy 168 0.6× 114 1.3× 20 0.3× 16 0.3× 63 2.7× 13 320
Alper Açık 277 1.0× 39 0.4× 100 1.3× 13 0.2× 26 1.1× 12 391
Richard Palluel-Germain 256 0.9× 83 0.9× 56 0.7× 18 0.3× 150 6.5× 27 361
Andrew Y. J. Szeto 302 1.1× 63 0.7× 29 0.4× 182 3.0× 6 0.3× 16 388
Jacob H. Kirman 303 1.1× 146 1.6× 66 0.8× 16 0.3× 36 1.6× 11 333

Countries citing papers authored by Steven J. Haase

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven J. Haase

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