Maider Azanza

430 total citations
12 papers, 101 citations indexed

About

Maider Azanza is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Maider Azanza has authored 12 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Software. Recurrent topics in Maider Azanza's work include Advanced Software Engineering Methodologies (9 papers), Model-Driven Software Engineering Techniques (5 papers) and Software Engineering Research (5 papers). Maider Azanza is often cited by papers focused on Advanced Software Engineering Methodologies (9 papers), Model-Driven Software Engineering Techniques (5 papers) and Software Engineering Research (5 papers). Maider Azanza collaborates with scholars based in Spain, United States and Austria. Maider Azanza's co-authors include Óscar Díaz, Don Batory, Salvador Trujillo, Danny Dig, Jong-Wook Kim, Macario Polo, Juanan Pereira, Roberto E. Lopez-Herrejon, Rafael Capilla and Goiuria Sagardui and has published in prestigious journals such as Empirical Software Engineering, Software & Systems Modeling and ACM Transactions on the Web.

In The Last Decade

Maider Azanza

12 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maider Azanza Spain	5	80	60	44	22	8	12	101
Henning Heitkötter Germany	5	99 1.2×	57 0.9×	43 1.0×	15 0.7×	11 1.4×	8	121
Germán Vega France	5	59 0.7×	60 1.0×	25 0.6×	21 1.0×	5 0.6×	16	101
Alejandro Oliveros Argentina	5	166 2.1×	142 2.4×	56 1.3×	7 0.3×	10 1.3×	38	203
Lukas Renggli Switzerland	6	78 1.0×	62 1.0×	27 0.6×	52 2.4×	3 0.4×	16	113
Gert Florijn Netherlands	5	102 1.3×	101 1.7×	34 0.8×	22 1.0×	2 0.3×	7	119
Henrique Rocha United States	7	127 1.6×	37 0.6×	49 1.1×	42 1.9×		23	146
Andreas Griesmayer Austria	6	43 0.5×	21 0.3×	52 1.2×	13 0.6×	4 0.5×	11	92
K. Periyasamy Canada	5	35 0.4×	33 0.6×	33 0.8×	6 0.3×	3 0.4×	18	81
Kathrin Hoffmann Germany	6	42 0.5×	15 0.3×	46 1.0×	20 0.9×	3 0.4×	24	88
Shabnam Kumari India	6	54 0.7×	30 0.5×	7 0.2×	15 0.7×	3 0.4×	17	109

Countries citing papers authored by Maider Azanza

Since Specialization

Citations

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

Fields of papers citing papers by Maider Azanza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maider Azanza

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Azanza, Maider, et al.. (2024). Can LLMs Facilitate Onboarding Software Developers? An Ongoing Industrial Case Study. 1–6. 2 indexed citations

2.

Díaz, Óscar, et al.. (2022). Visualizing the customization endeavor in product-based-evolving software product lines: a case of action design research. Empirical Software Engineering. 27(3). 4 indexed citations

3.

Azanza, Maider, et al.. (2021). 20 years of industrial experience at SPLC. 172–183. 3 indexed citations

4.

Díaz, Óscar, et al.. (2017). Visualizing product customization efforts for spotting SPL reuse opportunities. 73–80. 4 indexed citations

5.

Kim, Jong-Wook, Don Batory, Danny Dig, & Maider Azanza. (2016). Improving refactoring speed by 10X. 1145–1156. 29 indexed citations

6.

Batory, Don & Maider Azanza. (2015). Teaching model-driven engineering from a relational database perspective. Software & Systems Modeling. 16(2). 443–467. 12 indexed citations

7.

Díaz, Óscar, et al.. (2013). A language for end-user web augmentation. ACM Transactions on the Web. 7(2). 1–51. 15 indexed citations

8.

Díaz, Óscar, et al.. (2012). Software product line testing: A feature oriented approach. 298–305. 3 indexed citations

9.

Sagardui, Goiuria, et al.. (2012). Embedded software product lines: domain and application engineering model‐based analysis processes. Journal of Software Evolution and Process. 26(4). 419–433. 3 indexed citations

10.

Lopez-Herrejon, Roberto E., Salvador Trujillo, & Maider Azanza. (2010). Using incremental consistency management for conformance checking in feature-oriented model-driven engineering. 93–100. 4 indexed citations

11.

Trujillo, Salvador, Maider Azanza, Óscar Díaz, & Rafael Capilla. (2007). Exploring Extensibility of Architectural Design Decisions. 10–10. 5 indexed citations

12.

Trujillo, Salvador, Maider Azanza, & Óscar Díaz. (2007). Generative metaprogramming. 105–114. 17 indexed citations

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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