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Researcher · National University of San Juan · Argentina

Daniel Díaz Araya

Daniel Díaz Araya publishes mostly in Industrial and Manufacturing Engineering, Computer Science Applications and Software, on topics such as Scheduling and Optimization Algorithms, E-Learning and Knowledge Management and Engineering and Information Technology.

OpenAlex
World rank
#7,257,093
of 7,710,434 ranked researchers
Rank in Argentina
#34,451
of 38,473
Works
24
Citations
4
Citations per work
0.2
h-index
1
i10-index 0Top 99.5% in Industrial and Manufacturing Engineering (Engineering)
Daniel Díaz Araya

What does Daniel Díaz Araya research?

Daniel Díaz Araya's work is mostly in Computer Science (33%), Engineering (28%), Business, Management and Accounting (6%).

Physical Sciences: 15 works · 60.9% of their workComputer Science: 8 works · 32.6% of their workComputer Science Applications: 4 works · 17.4% of their workSoftware: 4 works · 15.2% of their workEngineering: 7 works · 28.3% of their workIndustrial and Manufacturing Engineering: 7 works · 28.3% of their workEverything else: 5 works · 21.8% of their workSocial Sciences: 4 works · 17.3% of their workBusiness, Management and Accounting: 2 works · 6.5% of their workAccounting: 2 works · 6.5% of their workDecision Sciences: 2 works · 6.5% of their workManagement Science and Operations Research: 2 works · 6.5% of their workEconomics, Econometrics and Finance: 1 works · 4.3% of their workEconomics and Econometrics: 1 works · 4.3% of their workTHEIR WORKDaniel Díaz Araya24works
Physical Sciences61%Social Sciences17%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science832.6%
    2. Engineering728.3%
  2. Everything else521.8%
    1. Business, Management and Accounting26.5%
    2. Decision Sciences26.5%
    3. Economics, Econometrics and Finance14.3%
  1. 1Industrial and Manufacturing Engineering28% of their works
  2. 2Computer Science Applications17% of their works
  3. 3Software15% of their works
  4. 4Management Science and Operations Research6% of their works
  5. 5Accounting6% of their works
  6. 6Economics and Econometrics4% of their works

Research topics

Which keywords describe Daniel Díaz Araya's research?

The keywords of their largest research topics: Manufacturing, Scheduling, Digital Marketing, E-Learning, Innovation, Quality Assurance, Information Systems and Software Development.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Manufacturing91 topic
  2. Scheduling91 topic
  3. Digital Marketing82 topics
  4. E-Learning61 topic
  5. Innovation61 topic
  6. Quality Assurance62 topics
  7. Information Systems41 topic
  8. Software Development41 topic
  9. Assembly Line Balancing31 topic
  10. Financial Analysis31 topic
  11. Operations Management31 topic
  12. Optimization Methods31 topic
  13. Productivity Indicators31 topic
  14. Theory of Constraints31 topic
  15. Economic Impact21 topic
  16. Learning Object Repositories21 topic
  17. Open Educational Resources21 topic
  18. Urban Development21 topic

Where does Daniel Díaz Araya work?

Daniel Díaz Araya's main affiliation in the publication record is National University of San Juan, Argentina.

How many publications and citations does Daniel Díaz Araya have?

OpenAlex counts 24 works and 4 citations for Daniel Díaz Araya, an h-index of 1, ranking #7,257,093 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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