Emre Demiralp

2.8k citations
19 papers · 1.9k indexed · 1 hit paper · h-index 12
Topics
Model Reduction and Neural Networks (5 papers)Matrix Theory and Algorithms (5 papers)Tensor decomposition and applications (4 papers)

In The Last Decade

Emre Demiralp

18 papers receiving 1.8k citations

Hit Papers

Facebook Use Predicts Declines in Subjective Well-Being i...201320262017202120132505007501000

Peers

Emre Demiralp
Comparison fields: 5 of 108
  • Sociology and Political Science 889
  • Cognitive Neuroscience 520
  • Experimental and Cognitive Psychology 401
  • Applied Psychology 291
  • Education 279
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Bonne J. H. Zijlstra Netherlands
Bernd Lachmann Germany
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Elisheva Ben‐Artzi Israel
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Emre Demiralp relative to Bonne J. H. Zijlstra Netherlands Bonne J. H. Zijlstra's profile →
Citations per field
00.5×3.5×
Bonne J. H. Zijlstra · 1×
Citations per year

Countries citing papers authored by Emre Demiralp

Since Specialization
Citations

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

Fields of papers citing papers by Emre Demiralp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Demiralp

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 99
2
Facebook use predicts declines in subjective well-being in young adults
0
3
Facebook Use Predicts Declines in Subjective Well-Being in Young Adultsbreakdown →
1036
4 403
5 145
6 14
7 2
8 15
9 17
10 18
11
Array flattening based univariate high dimensional model representation (AFBUHDMR)
2
12 88
13 4
14
Applications of high dimensional model representations to computer vision
13
15
Application of reductive decomposition method for multilinear arrays (RDMMA) to animations
9
16
A New Straightforward Decomposition Method Without Iteration To Approximate Matrices Via Dominant Basis Matrices.
5
17 15
18
Applications of flexibly initialized high dimensional model representation in computer vision
4
19 12

About Emre Demiralp

Emre Demiralp is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (5 papers), Matrix Theory and Algorithms (5 papers) and Tensor decomposition and applications (4 papers). The work is most often cited by research in Computational Mathematics (43 citations), Applied Psychology (291 citations) and Communication (277 citations). Emre Demiralp has collaborated with scholars based in United States, Türkiye and Belgium. Frequent co-authors include John Jonides, Ethan Kross, Philippe Verduyn, David Seungjae Lee, Jiyoung Park, Oscar Ybarra, Holly Shablack, Marc G. Berman, Derek Evan Nee and Joshua W. Brown. Their work appears in journals such as PLoS ONE, Psychological Science and Cerebral Cortex.

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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