David Díaz

1.3k total citations
46 papers, 877 citations indexed

About

David Díaz is a scholar working on Economics and Econometrics, Finance and Management Science and Operations Research. According to data from OpenAlex, David Díaz has authored 46 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 10 papers in Finance and 8 papers in Management Science and Operations Research. Recurrent topics in David Díaz's work include Stock Market Forecasting Methods (8 papers), Financial Markets and Investment Strategies (7 papers) and Career Development and Diversity (5 papers). David Díaz is often cited by papers focused on Stock Market Forecasting Methods (8 papers), Financial Markets and Investment Strategies (7 papers) and Career Development and Diversity (5 papers). David Díaz collaborates with scholars based in Chile, United Kingdom and United States. David Díaz's co-authors include Babis Theodoulidis, Elisa Rancati, Pedro Sampaio, Kristina Heinonen, Sertan Kabadayi, Yakov Bart, Lerzan Aksoy, Francisco Villarroel Ordenes, Werner H. Kunz and Μαριάννα Σιγάλα and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

David Díaz

44 papers receiving 828 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Díaz Chile 12 250 204 198 172 162 46 877
Eric Walden United States 16 220 0.9× 488 2.4× 291 1.5× 135 0.8× 184 1.1× 58 1.2k
Neeraj Bharadwaj United States 18 374 1.5× 268 1.3× 238 1.2× 71 0.4× 97 0.6× 24 865
Steven E. Phelan United States 15 85 0.3× 506 2.5× 158 0.8× 188 1.1× 124 0.8× 39 1.0k
Tawei Wang United States 22 131 0.5× 348 1.7× 211 1.1× 147 0.9× 129 0.8× 88 1.6k
Jens Mueller New Zealand 12 198 0.8× 496 2.4× 132 0.7× 116 0.7× 67 0.4× 41 1.0k
Goran Calic Canada 12 377 1.5× 375 1.8× 210 1.1× 539 3.1× 206 1.3× 27 1.4k
Ali Tafti United States 13 105 0.4× 409 2.0× 132 0.7× 160 0.9× 115 0.7× 45 906
Matthias Wenzel Germany 17 149 0.6× 550 2.7× 229 1.2× 246 1.4× 131 0.8× 52 1.3k
Rabikar Chatterjee United States 17 576 2.3× 292 1.4× 185 0.9× 217 1.3× 242 1.5× 33 962

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-authorship network of co-authors of David Díaz

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

All Works

20 of 20 papers shown
1.
Díaz, David, et al.. (2024). The role of the Latin American Professional Society of Genetic Counseling (SPLAGen): Advancing genetic counseling in Latin America. SHILAP Revista de lepidopterología. 2(Suppl 2). 101870–101870.
2.
Garriott, Patton O., Heather K. Hunt, Rachel L. Navarro, et al.. (2023). How Latiné engineering students resist White male engineering culture: A multi‐institution analysis of academic engagement. Journal of Engineering Education. 112(3). 695–718. 6 indexed citations
3.
Lee, Bo Hyun, et al.. (2022). Racial/Ethnic Minority Vocational Research Trends in Counseling Psychology and Multicultural Psychology Journals: A Trend Analysis Across 51 Years. Journal of Career Development. 50(4). 824–843. 4 indexed citations
4.
Guerrero, Maribel, et al.. (2021). Dissecting the ecosystems’ determinants of entrepreneurial re-entry after a business failure. European Business Review. 33(6). 975–998. 14 indexed citations
5.
6.
Muñoz‐Reyes, José Antonio, Carlos Rodríguez‐Sickert, Paula Pávez, et al.. (2020). Testing strategic pluralism: The roles of attractiveness and competitive abilities to understand conditionality in men’s short-term reproductive strategies. PLoS ONE. 15(8). e0237315–e0237315. 5 indexed citations
7.
Muñoz‐Reyes, José Antonio, Pablo Polo, Paula Pávez, et al.. (2020). The Male Warrior Hypothesis: Testosterone-related Cooperation and Aggression in the Context of Intergroup Conflict. Scientific Reports. 10(1). 375–375. 25 indexed citations
8.
Navarro, Rachel L., Lisa Y. Flores, John‐Paul Legerski, et al.. (2018). Social cognitive predictors of engineering students’ academic persistence intentions, satisfaction, and engagement.. Journal of Counseling Psychology. 66(2). 170–183. 35 indexed citations
9.
Kausel, Edgar E., et al.. (2018). Does facial structure predict academic performance?. Personality and Individual Differences. 129. 1–5. 4 indexed citations
10.
Kunz, Werner H., Lerzan Aksoy, Yakov Bart, et al.. (2017). Customer engagement in a Big Data world. Journal of Services Marketing. 31(2). 161–171. 142 indexed citations
11.
Lee, Bo Hyun, et al.. (2017). Racial/Ethnic Minority Vocational Research Trends: An 11‐Year Update. The Career Development Quarterly. 65(4). 288–301. 13 indexed citations
12.
Kunz, Werner H., Lerzan Aksoy, Yakov Bart, et al.. (2016). Customer Engagement in a Big Data World. SSRN Electronic Journal. 5 indexed citations
13.
Díaz, David, et al.. (2015). Comparison of Data Mining Methods on Different Applications: Clustering and Classification Methods. Information Sciences Letters. 4(2). 2. 3 indexed citations
14.
Zaı̈ane, Osmar R., et al.. (2014). Detecting stock market manipulation using supervised learning algorithms. 435–441. 45 indexed citations
15.
Tittarelli, Andrés, Fermín E. González, Cristián Pereda, et al.. (2012). Toll-like receptor 4 gene polymorphism influences dendritic cell in vitro function and clinical outcomes in vaccinated melanoma patients. Cancer Immunology Immunotherapy. 61(11). 2067–2077. 32 indexed citations
16.
Theodoulidis, Babis & David Díaz. (2012). Financial Markets and High Frequency Trading: An Information Management Perspective. SSRN Electronic Journal.
17.
Díaz, David, Babis Theodoulidis, & Pedro Sampaio. (2011). Analysis of stock market manipulations using knowledge discovery techniques applied to intraday trade prices. Expert Systems with Applications. 38(10). 12757–12771. 63 indexed citations
18.
Theodoulidis, Babis, David Díaz, & Mohamed Zaki. (2011). "Carbon Footprint" Innovation through Environmental Information Management. Research Explorer (The University of Manchester). 506–516. 2 indexed citations
19.
Díaz, David, Babis Theodoulidis, & Pedro Sampaio. (2010). Analysis of Stock Market Manipulations Using Knowledge Discovery Techniques Applied to Intraday Trade Prices. SSRN Electronic Journal. 1 indexed citations
20.
Díaz, David, et al.. (2006). Modelos de algoritmos genéticos y redes neuronales en la predicción de índices bursátiles asiáticos. 43(128). 251–284. 2 indexed citations

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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