David Daniel Preiss

5.1k citations
257 papers · 3.5k · h-index 29

Impact in

    • Advanced Banach Space Theory
    • Mathematical Dynamics and Fractals
    • Nonlinear Partial Differential Equations
    • Geometric Analysis and Curvature Flows
    • Functional Equations Stability Results

Papers in

David Daniel Preiss

170 papers receiving 3.1k citations

Peers

David Daniel Preiss
Comparison fields: 5 of 159
  • Mathematical Physics 1.2k
  • Applied Mathematics 1.1k
  • Geometry and Topology 658
  • Computational Theory and Mathematics 787
  • Statistics and Probability 239
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Citations per year

Countries citing papers authored by David Daniel Preiss

Since Specialization
Citations

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

Fields of papers citing papers by David Daniel Preiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Daniel Preiss. 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 David Daniel Preiss. The network helps show where David Daniel Preiss may publish in the future.

Co-authors

The 25 scholars most cited alongside David Daniel Preiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Daniel Preiss Line = papers co-authored together David Daniel Preiss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012244
2 1987225
3 1986198
4 1987193
5 2018168
6 1990168
7
Innovations in Educational Psychology: Perspectives on Learning, Teaching, and Human Development
2010167
8 1989127
9 2022107
10 199560
11 199955
12 200850
13 201647
14 199044
15 200244
16 202241
17 201336
18 201036
19 200335
20 201335

About David Daniel Preiss

David Daniel Preiss is a scholar working on Mathematical Physics, Applied Mathematics, Geometry and Topology, Computational Theory and Mathematics and Experimental and Cognitive Psychology, having authored 257 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Banach Space Theory (52 papers), Advanced Topology and Set Theory (34 papers), Functional Equations Stability Results (28 papers), Optimization and Variational Analysis (26 papers), Mind wandering and attention (18 papers), Mathematical Dynamics and Fractals (18 papers), Creativity in Education and Neuroscience (17 papers) and Educational Innovations and Technology (11 papers). The work is most often cited by research in Mathematical Physics (1.2k citations), Applied Mathematics (1.1k citations), Geometry and Topology (658 citations), Computational Theory and Mathematics (787 citations) and Statistics and Probability (239 citations). David Daniel Preiss has collaborated with scholars based in United Kingdom, Chile and United States. Frequent co-authors include Roman Kotecký, Jonathan Michael Borwein, Robert J. Sternberg, Joram Lindenstrauss, Ernesto San Martı́n, Nassif Ghoussoub, Ignacio Jara, Valeska Grau, Miguél Nussbaum and Magdalena Claro. Their work appears in journals such as Proceedings of the American Mathematical Society, Transactions of the American Mathematical Society, Learning and Individual Differences, Israel Journal of Mathematics and Mathematika.

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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