Angela Carrera-Rivera

511 total citations · 1 hit paper
9 papers, 273 citations indexed

About

Angela Carrera-Rivera is a scholar working on Information Systems, Marketing and Human-Computer Interaction. According to data from OpenAlex, Angela Carrera-Rivera has authored 9 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Marketing and 3 papers in Human-Computer Interaction. Recurrent topics in Angela Carrera-Rivera's work include Service and Product Innovation (3 papers), Innovative Human-Technology Interaction (3 papers) and Educational Innovations and Technology (2 papers). Angela Carrera-Rivera is often cited by papers focused on Service and Product Innovation (3 papers), Innovative Human-Technology Interaction (3 papers) and Educational Innovations and Technology (2 papers). Angela Carrera-Rivera collaborates with scholars based in Spain, United Kingdom and Ecuador. Angela Carrera-Rivera's co-authors include Ganix Lasa, Félix Larrinaga, William Ochoa, Fan Mo, Hamood Ur Rehman, Iñaki Garitano, José Barata, Sanaz Nikghadam-Hojjati, Jack C. Chaplin and Antonio Maffei and has published in prestigious journals such as IEEE Access, Knowledge-Based Systems and Scientific Data.

In The Last Decade

Angela Carrera-Rivera

7 papers receiving 258 citations

Hit Papers

How-to conduct a systematic literature review: A quick gu... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. How-to conduct a systematic literature review: A quick guide for computer science research
    2022 204 citations Angela Carrera-Rivera, William Ochoa et al. MethodsX profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Carrera-Rivera Spain 4 40 34 32 28 28 9 273
Sin Yin Teh Malaysia 15 26 0.7× 41 1.2× 38 1.2× 44 1.6× 34 1.2× 67 715
William Ochoa Spain 4 40 1.0× 16 0.5× 36 1.1× 21 0.8× 27 1.0× 9 241
Alberto Ochoa-Brust Mexico 8 52 1.3× 38 1.1× 39 1.2× 37 1.3× 39 1.4× 17 414
Nagul Cooharojananone Thailand 10 33 0.8× 16 0.5× 17 0.5× 41 1.5× 39 1.4× 66 295
Amir Shaygan United States 9 84 2.1× 45 1.3× 16 0.5× 61 2.2× 35 1.3× 22 357
Ricardo Tejeida Padilla Mexico 9 25 0.6× 18 0.5× 13 0.4× 41 1.5× 21 0.8× 62 354
Guojie Xie China 11 32 0.8× 53 1.6× 17 0.5× 46 1.6× 44 1.6× 21 381
Kadarsah Suryadi Indonesia 10 41 1.0× 23 0.7× 79 2.5× 22 0.8× 61 2.2× 40 335
Morteza Nagahi United States 10 31 0.8× 13 0.4× 14 0.4× 10 0.4× 48 1.7× 31 369
Syed Imran Ali United Kingdom 9 41 1.0× 24 0.7× 82 2.6× 29 1.0× 47 1.7× 17 612

Countries citing papers authored by Angela Carrera-Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Angela Carrera-Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela Carrera-Rivera. 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 Angela Carrera-Rivera. The network helps show where Angela Carrera-Rivera may publish in the future.

Co-authorship network of co-authors of Angela Carrera-Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Carrera-Rivera. A scholar is included among the top collaborators of Angela Carrera-Rivera 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 Angela Carrera-Rivera. Angela Carrera-Rivera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
2.
Carrera-Rivera, Angela, et al.. (2024). AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems. User Modeling and User-Adapted Interaction. 34(5). 1929–1980. 1 indexed citations
3.
Carrera-Rivera, Angela, et al.. (2023). Big Data Life Cycle in Shop-Floor–Trends and Challenges. IEEE Access. 11. 30008–30026. 10 indexed citations
4.
Carrera-Rivera, Angela, et al.. (2023). Structured dataset of human-machine interactions enabling adaptive user interfaces. Scientific Data. 10(1). 831–831. 3 indexed citations
5.
Carrera-Rivera, Angela, Félix Larrinaga, & Ganix Lasa. (2022). Context-awareness for the design of Smart-product service systems: Literature review. Computers in Industry. 142. 103730–103730. 53 indexed citations
6.
Carrera-Rivera, Angela, William Ochoa, Félix Larrinaga, & Ganix Lasa. (2022). How-to conduct a systematic literature review: A quick guide for computer science research. MethodsX. 9. 101895–101895. 204 indexed citations breakdown →
7.
Carrera-Rivera, Angela, Félix Larrinaga, Ganix Lasa, & Giovanna Martínez-Arellano. (2022). UX- for Smart-PSS: Towards a Context-aware Framework. eRepository Mondragon University (Mondragon University). 113–120. 1 indexed citations
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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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