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Researcher · Instituto Tecnologico de Orizaba · Mexico

Lisbeth Rodríguez-Mazahua

Lisbeth Rodríguez-Mazahua publishes mostly in Information Systems, Artificial Intelligence and Computer Networks and Communications, on topics such as Data Mining Algorithms and Applications, Advanced Database Systems and Queries and Imbalanced Data Classification Techniques.

ORCID 0000-0002-9861-3993 OpenAlex
World rank
#1,772,786
of 7,710,434 ranked researchers
Rank in Mexico
#4,446
of 55,557
Works
97
Citations
3.7k
Citations per work
38.5
h-index
15
i10-index 21Top 8.8% in Information Systems
Lisbeth Rodríguez-Mazahua

What does Lisbeth Rodríguez-Mazahua research?

Lisbeth Rodríguez-Mazahua's work is mostly in Computer Science (54%), Business, Management and Accounting (4%).

Physical Sciences: 53 works · 54.2% of their workComputer Science: 53 works · 54.2% of their workInformation Systems: 17 works · 17.9% of their workArtificial Intelligence: 14 works · 14.6% of their workComputer Networks and Communications: 11 works · 11.2% of their workComputer Vision and Pattern Recognition: 7 works · 7.1% of their workSignal Processing: 3 works · 3.4% of their workEverything else: 40 works · 41.7% of their workSocial Sciences: 4 works · 4.1% of their workBusiness, Management and Accounting: 4 works · 4.1% of their workManagement Information Systems: 4 works · 4.1% of their workTHEIR WORKLisbethRodríguez-Mazahua97works
Physical Sciences54%Social Sciences4%

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 Science5354.2%
  2. Everything else4041.7%
    1. Business, Management and Accounting44.1%
  1. 1Information Systems18% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Computer Networks and Communications11% of their works
  4. 4Computer Vision and Pattern Recognition7% of their works
  5. 5Management Information Systems4% of their works
  6. 6Signal Processing3% of their works

Research topics

Which keywords describe Lisbeth Rodríguez-Mazahua's research?

The keywords of their largest research topics: Data Mining, Machine Learning, Big Data, Healthcare, Association Rules, Frequent Patterns, Continuous Queries and Data Stream Management.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Data Mining182 topics
  2. Machine Learning182 topics
  3. Big Data132 topics
  4. Healthcare132 topics
  5. Association Rules111 topic
  6. Frequent Patterns111 topic
  7. Continuous Queries101 topic
  8. Data Stream Management101 topic
  9. Classification91 topic
  10. Imbalanced Data91 topic
  11. Big Data Analytics71 topic
  12. Data Cleaning71 topic
  13. Medical Diagnosis71 topic
  14. Record Linkage71 topic
  15. Cloud Computing61 topic
  16. Edge Computing61 topic
  17. Internet of Things61 topic
  18. MapReduce61 topic
  19. QoS-Aware Middleware61 topic
  20. Semantic Web Services61 topic

Where does Lisbeth Rodríguez-Mazahua work?

Lisbeth Rodríguez-Mazahua's main affiliation in the publication record is Instituto Tecnologico de Orizaba, Mexico.

How many publications and citations does Lisbeth Rodríguez-Mazahua have?

OpenAlex counts 97 works and 3,730 citations for Lisbeth Rodríguez-Mazahua, an h-index of 15, ranking #1,772,786 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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