Yasmín Hernández

838 citations
43 papers · 528 indexed · h-index 11
Topics
Intelligent Tutoring Systems and Adaptive Learning (11 papers)Innovative Teaching and Learning Methods (6 papers)Social Robot Interaction and HRI (5 papers)

In The Last Decade

Yasmín Hernández

37 papers receiving 509 citations

Peers

Yasmín Hernández
Comparison fields: 5 of 116
  • Immunology 191
  • Molecular Biology 108
  • Artificial Intelligence 91
  • Surgery 85
  • Genetics 77
Replace Nikolas Dovrolis with:
Nikolas Dovrolis Greece
J Greene United States
Michael Thomsen Australia
Ryan Kellogg United States
Meilin Chen China
Mark Hughes Ireland
Amjad Mahmood Bahrain
Eunjung Ko South Korea
Rupinder Kaur India
Shinsuke Nakajima Japan
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Citations per field
00.5×3.7×
Nikolas Dovrolis · 1×
Citations per year

Countries citing papers authored by Yasmín Hernández

Since Specialization
Citations

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

Fields of papers citing papers by Yasmín Hernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasmín Hernández

This figure shows the co-authorship network connecting the top 25 collaborators of Yasmín Hernández. A scholar is included among the top collaborators of Yasmín Hernández 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 Yasmín Hernández. Yasmín Hernández 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 24
6 4
7 7
8 3
9 1
10
Designing Empathetic Animated Agents for a B-Learning Training Environment within the Electrical Domain
13
11
Tutor Inteligente con reconocimiento y manejo de emociones para Matemáticas
1
12 15
13
Integrating learning styles and affective behavior into an intelligent environment for learning
2
14 37
15
Incorporating an Affective Behavior Model into an Educational Game
7
16 138
17 131
18 1
19 4
20 14

About Yasmín Hernández

Yasmín Hernández is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Computer Science Applications, having authored 43 papers that have together received 528 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (11 papers), Innovative Teaching and Learning Methods (6 papers) and Social Robot Interaction and HRI (5 papers). The work is most often cited by research in Immunology (191 citations), Computer Science Applications (32 citations) and Cancer Research (62 citations). Yasmín Hernández has collaborated with scholars based in Mexico, United States and Switzerland. Frequent co-authors include Masayuki Fukata, Ruliang Xu, David S. Hsu, Keith J. Breglio, María T. Abreu, Anli Chen, John P. Sotolongo, Ryan C. Ungaro, Tyralee Goo and Jason Cohen. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Physiology-Gastrointestinal and Liver Physiology and Gastrointestinal Endoscopy.

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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