David Esch

579 citations
14 papers · 437 · h-index 6

Impact in

    • Child and Adolescent Psychosocial and Emotional Development
    • Psychotherapy Techniques and Applications
    • Posttraumatic Stress Disorder Research

Papers in

David Esch

13 papers receiving 412 citations

Peers

David Esch
Comparison fields: 5 of 78
  • Clinical Psychology 163
  • Occupational Therapy 28
  • Psychiatry and Mental health 99
  • Social Psychology 107
  • Experimental and Cognitive Psychology 57
Replace Alma Džubur Kulenović with:
Alma Džubur Kulenović Bosnia and Herzegovina
Raphael Nishimura United States
Jerome V. Vaccaro United States
Dinarte Ballester Brazil
Devakshi Dua India
Yen‐Ju Lin Taiwan
Zeina Chemali United States
Soudabeh Eskandari Iran
Michelle Degli Esposti United Kingdom
Vítor Crestani Calegaro Brazil
David Esch relative to Alma Džubur Kulenović Bosnia and Herzegovina Alma Džubur Kulenović's profile →
Citations per field
00.5×5.3×
Alma Džubur Kulenović · 1×
Citations per year

Countries citing papers authored by David Esch

Since Specialization
Citations

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

Fields of papers citing papers by David Esch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside David Esch, 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 Esch Line = papers co-authored together David Esch links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2004228
2 200679
3 200472
4 200430
5 20127
6
NON-NORMALITY FACTS AND FALLACIES
20105
7 20204
8 20104
9 20063
10 20192
11
The False Promise of Target Date Funds
20141
12 20031
13 20201
14 20140

About David Esch

David Esch is a scholar working on Finance, General Economics, Econometrics and Finance, Management Science and Operations Research, Social Psychology and Clinical Psychology, having authored 14 papers that have together received 437 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (6 papers), Monetary Policy and Economic Impact (4 papers), Risk and Portfolio Optimization (2 papers), Statistical and numerical algorithms (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Mental Health Treatment and Access (2 papers), Stochastic processes and financial applications (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Clinical Psychology (163 citations), Occupational Therapy (28 citations), Psychiatry and Mental health (99 citations), Social Psychology (107 citations) and Experimental and Cognitive Psychology (57 citations). David Esch has collaborated with scholars based in United States. Frequent co-authors include Susan V. Eisen, Sharon‐Lise T. Normand, Albert J. Belanger, Avron Spiro, Gayatri Ranganathan, Bethlyn Houlihan, Steve Williams, Mari‐Lynn Drainoni, Margarita Karovska and David A. van Dyk. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Bayesian Analysis, Financial Analysts Journal, Medical Care and The Astrophysical Journal.

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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