David Díaz

1.3k citations
46 papers · 877 · h-index 12

Impact in

Papers in

    • Complex Systems and Time Series Analysis 4
    • Financial Markets and Investment Strategies 7
    • Financial Risk and Volatility Modeling 3

David Díaz

44 papers receiving 828 citations

Peers

David Díaz
Comparison fields: 5 of 111
  • Marketing 250
  • Strategy and Management 204
  • Management Science and Operations Research 162
  • Organizational Behavior and Human Resource Management 135
  • Business and International Management 23
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Citations per field
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Citations per year

Countries citing papers authored by David Díaz

Since Specialization
Citations

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

Fields of papers citing papers by David Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Díaz, 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 Díaz Line = papers co-authored together David Díaz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017243
2 2017142
3 200879
4 201163
5 201445
6 201842
7 201835
8 201232
9 202025
10 201924
11 202114
12 201713
13 202111
14 201111
15 201511
16 202110
17 20236
18 20205
19
Customer Engagement in a Big Data World
20165
20 20115

About David Díaz

David Díaz is a scholar working on Economics and Econometrics, Finance, Management Science and Operations Research, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 46 papers that have together received 877 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (8 papers), Financial Markets and Investment Strategies (7 papers), Career Development and Diversity (5 papers), Evolutionary Psychology and Human Behavior (4 papers), Higher Education Research Studies (4 papers), Complex Systems and Time Series Analysis (4 papers), Financial Risk and Volatility Modeling (3 papers) and Environmental Sustainability in Business (3 papers). The work is most often cited by research in Marketing (250 citations), Strategy and Management (204 citations), Management Science and Operations Research (162 citations), Organizational Behavior and Human Resource Management (135 citations) and Business and International Management (23 citations). David Díaz has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Babis Theodoulidis, Elisa Rancati, Pedro Sampaio, Francisco Villarroel Ordenes, Yakov Bart, Sertan Kabadayi, Lerzan Aksoy, Kristina Heinonen, Werner H. Kunz and Μαριάννα Σιγάλα. Their work appears in journals such as Expert Systems with Applications, PLoS ONE, Journal of Career Development, Journal of Vocational Behavior and Scientific Reports.

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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