Andrés Neyem

1.2k total citations
69 papers, 691 citations indexed

About

Andrés Neyem is a scholar working on Computer Networks and Communications, Information Systems and Computer Science Applications. According to data from OpenAlex, Andrés Neyem has authored 69 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 18 papers in Information Systems and 13 papers in Computer Science Applications. Recurrent topics in Andrés Neyem's work include IoT and Edge/Fog Computing (11 papers), Anatomy and Medical Technology (9 papers) and Online Learning and Analytics (8 papers). Andrés Neyem is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Anatomy and Medical Technology (9 papers) and Online Learning and Analytics (8 papers). Andrés Neyem collaborates with scholars based in Chile, United States and Spain. Andrés Neyem's co-authors include José A. Pino, Sergio F. Ochoa, Valeria Herskovic, Mar Pérez‐Sanagustín, Alfredo Serpell, Ximena Ferrada, Julián Varas, Marcos Sepúlveda, Gabriel Escalona and Marcos R. S. Borges and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Andrés Neyem

60 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrés Neyem Chile 16 161 150 105 88 78 69 691
Pari Delir Haghighi Australia 18 138 0.9× 169 1.1× 55 0.5× 136 1.5× 189 2.4× 66 981
Angela Locoro Italy 10 127 0.8× 47 0.3× 19 0.2× 94 1.1× 76 1.0× 49 668
Camino Fernández Spain 18 172 1.1× 91 0.6× 247 2.4× 26 0.3× 90 1.2× 102 915
Mario A. Bochicchio Italy 14 120 0.7× 82 0.5× 129 1.2× 36 0.4× 33 0.4× 91 687
Kevin Gary United States 11 145 0.9× 40 0.3× 138 1.3× 64 0.7× 70 0.9× 58 556
Yu-Sheng Su Taiwan 15 110 0.7× 40 0.3× 80 0.8× 19 0.2× 48 0.6× 25 715
Julieta Noguez Mexico 14 170 1.1× 20 0.1× 182 1.7× 70 0.8× 89 1.1× 94 1.1k
Eduardo Mosqueira-Rey Spain 11 116 0.7× 35 0.2× 36 0.3× 15 0.2× 58 0.7× 31 669
José Luis Sánchez-Cervantes Mexico 16 175 1.1× 118 0.8× 31 0.3× 18 0.2× 74 0.9× 41 860
Rafael Vargas Spain 14 158 1.0× 144 1.0× 129 1.2× 91 1.0× 22 0.3× 99 833

Countries citing papers authored by Andrés Neyem

Since Specialization
Citations

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

Fields of papers citing papers by Andrés Neyem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrés Neyem

This figure shows the co-authorship network connecting the top 25 collaborators of Andrés Neyem. A scholar is included among the top collaborators of Andrés Neyem 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 Andrés Neyem. Andrés Neyem 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.
Merino, Leonel, et al.. (2025). On the use of extended reality to support software development activities: A systematic literature review. Information and Software Technology. 191. 107999–107999.
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Villagrán, Ignacio, et al.. (2024). Enhancing Feedback Uptake and Self-Regulated Learning in Procedural Skills Training. Journal of Learning Analytics. 11(2). 138–156. 3 indexed citations
5.
Neyem, Andrés, et al.. (2024). Connection-Aware Heuristics for Scheduling and Distributing Jobs under Dynamic Dew Computing Environments. Applied Sciences. 14(8). 3206–3206. 2 indexed citations
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Villagrán, Ignacio, Andrés Neyem, Constanza Miranda, et al.. (2024). Implementing Artificial Intelligence in Physiotherapy Education: A Case Study on the Use of Large Language Models (LLM) to Enhance Feedback. IEEE Transactions on Learning Technologies. 17. 2025–2036. 7 indexed citations
8.
Neyem, Andrés, et al.. (2024). Toward an AI Knowledge Assistant for Context-Aware Learning Experiences in Software Capstone Project Development. IEEE Transactions on Learning Technologies. 17. 1599–1614. 11 indexed citations
9.
Neyem, Andrés, et al.. (2024). Enhancing medical anatomy education with the integration of virtual reality into traditional lab settings. Clinical Anatomy. 38(3). 249–268. 4 indexed citations
10.
Neyem, Andrés, et al.. (2024). Enhancing commit message quality in software capstone projects with generative AI. SoftwareX. 28. 101947–101947.
11.
Neyem, Andrés, Óscar Inzunza, Nicolás Ernesto Ottone, et al.. (2023). Empowering human anatomy education through gamification and artificial intelligence: An innovative approach to knowledge appropriation. Clinical Anatomy. 37(1). 12–24. 24 indexed citations
12.
Neyem, Andrés, et al.. (2023). An Empirical Study of Mobile Code Offloading in Unpredictable Environments. IEEE Access. 11. 69263–69281.
13.
Villagrán, Ignacio, et al.. (2023). Inovações no treinamento cirúrgico: explorando o papel da inteligência artificial e dos grandes modelos de linguagem (LLM). Revista do Colégio Brasileiro de Cirurgiões. 50. 1 indexed citations
14.
Varas, Julián, Ignacio Villagrán, Gabriel Escalona, et al.. (2023). Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM). Revista do Colégio Brasileiro de Cirurgiões. 50. e20233605–e20233605. 36 indexed citations
15.
Icarte, Rodrigo Toro, et al.. (2022). Solving Task Scheduling Problems in Dew Computing via Deep Reinforcement Learning. Applied Sciences. 12(14). 7137–7137. 5 indexed citations
16.
Neyem, Andrés, et al.. (2022). REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE “LAPP” PLATFORM. ABCD Arquivos Brasileiros de Cirurgia Digestiva (São Paulo). 35. e1712–e1712. 7 indexed citations
17.
Neyem, Andrés, et al.. (2018). Deep Neural Networks on Mobile Healthcare Applications: Practical Recommendations. SHILAP Revista de lepidopterología. 550–550. 2 indexed citations
18.
Neyem, Andrés, et al.. (2018). A Cloud-Based Mobile System to Improve Project Management Skills in Software Engineering Capstone Courses. Mobile Information Systems. 2018. 1–16. 1 indexed citations
19.
Valenzuela, Guillermo J., et al.. (2018). MobiCOP: A Scalable and Reliable Mobile Code Offloading Solution. Wireless Communications and Mobile Computing. 2018(1). 16 indexed citations
20.
Neyem, Andrés, et al.. (2016). Improving Healthcare Team Collaboration in Hospital Transfers through Cloud-Based Mobile Systems. Mobile Information Systems. 2016. 1–14.

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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