Itzamá López-Yáñez

727 citations
51 papers · 410 indexed · h-index 12
Topics
Neural Networks and Applications (14 papers)Fuzzy Logic and Control Systems (6 papers)Advanced Memory and Neural Computing (5 papers)
Partner nations
MexicoCubaSpain

In The Last Decade

Itzamá López-Yáñez

48 papers receiving 389 citations

Peers

Itzamá López-Yáñez
Comparison fields: 5 of 89
  • Artificial Intelligence 247
  • Information Systems 84
  • Electrical and Electronic Engineering 49
  • Management Science and Operations Research 43
  • Computational Theory and Mathematics 35
Replace Rajesh Parekh with:
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Hassan Najadat Jordan
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Rajiv Khanna United States
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Itzamá López-Yáñez relative to Rajesh Parekh United States Rajesh Parekh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Itzamá López-Yáñez

Since Specialization
Citations

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

Fields of papers citing papers by Itzamá López-Yáñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Itzamá López-Yáñez. 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 Itzamá López-Yáñez. The network helps show where Itzamá López-Yáñez may publish in the future.

Co-authorship network of co-authors of Itzamá López-Yáñez

This figure shows the co-authorship network connecting the top 25 collaborators of Itzamá López-Yáñez. A scholar is included among the top collaborators of Itzamá López-Yáñez 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 Itzamá López-Yáñez. Itzamá López-Yáñez 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 1
2 2
3 2
4 4
5 12
6 19
7 5
8 7
9 4
10
Emerging computational tools: impact on engineering education and computer science learning
5
11 41
12 1
13 18
14 15
15 26
16 3
17
A Novel Solution to the Secure Exchange of Environmental Engineering Education Data
2
18
Application of Gamma Classifier to Development Effort Prediction of Software Projects
7
19 1
20
Alpha-Beta Bidirectional Associative Memories Based Translator
9

About Itzamá López-Yáñez

Itzamá López-Yáñez is a scholar working on Artificial Intelligence, Software and Computer Science Applications, having authored 51 papers that have together received 410 indexed citations. Recurring topics across this work include Neural Networks and Applications (14 papers), Fuzzy Logic and Control Systems (6 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Artificial Intelligence (247 citations), Software (20 citations) and Computer Science Applications (22 citations). Itzamá López-Yáñez has collaborated with scholars based in Mexico, Cuba and Spain. Frequent co-authors include Cornelio Yáñez-Márquéz, Oscar Camacho-Nieto, Yenny Villuendas-Rey, Mario Aldape-Pérez, Amadeo-José Argüelles-Cruz, Leonid Sheremetov, Andrew Ponomarev, Wadee Alhalabi, Guo‐Hua Sun and Shi‐Hai Dong. Their work appears in journals such as PLoS ONE, Computers in Human Behavior and IEEE Access.

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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