Jorge Aranda

867 total citations
14 papers, 555 citations indexed

About

Jorge Aranda is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Jorge Aranda has authored 14 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Software. Recurrent topics in Jorge Aranda's work include Software Engineering Research (9 papers), Software Engineering Techniques and Practices (8 papers) and Advanced Software Engineering Methodologies (7 papers). Jorge Aranda is often cited by papers focused on Software Engineering Research (9 papers), Software Engineering Techniques and Practices (8 papers) and Advanced Software Engineering Methodologies (7 papers). Jorge Aranda collaborates with scholars based in Canada, United States and Austria. Jorge Aranda's co-authors include Gina Venolia, Steve Easterbrook, Greg Wilson, Jennifer Horkoff, Neil Ernst, Sotirios Liaskos, Eric Yu, Markus Strohmaier, Adrian Schröter and Daniela Damian and has published in prestigious journals such as IEEE Software, American Scientist and MADOC (University of Mannheim).

In The Last Decade

Jorge Aranda

14 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorge Aranda Canada	10	458	166	166	112	83	14	555
Javier Luis Izquierdo Spain	12	301 0.7×	134 0.8×	185 1.1×	95 0.8×	106 1.3×	48	443
Thomas A. Alspaugh United States	13	305 0.7×	261 1.6×	159 1.0×	120 1.1×	72 0.9×	43	550
Çiğdem Gencel Italy	13	440 1.0×	103 0.6×	171 1.0×	68 0.6×	74 0.9×	29	538
Andrew Forward Canada	11	601 1.3×	288 1.7×	303 1.8×	106 0.9×	137 1.7×	23	705
Jari Vanhanen Finland	15	569 1.2×	81 0.5×	225 1.4×	162 1.4×	95 1.1×	26	647
Marcus Ciolkowski Germany	13	497 1.1×	120 0.7×	186 1.1×	148 1.3×	70 0.8×	40	566
Daniel Lucrédio Brazil	13	416 0.9×	191 1.2×	120 0.7×	71 0.6×	129 1.6×	54	490
Hans-Jörg Happel Germany	9	391 0.9×	228 1.4×	60 0.4×	100 0.9×	60 0.7×	25	477
María Cecilia Bastarrica Chile	15	424 0.9×	258 1.6×	144 0.9×	88 0.8×	115 1.4×	56	612
Neil B. Harrison United States	13	447 1.0×	314 1.9×	81 0.5×	60 0.5×	133 1.6×	39	605

Countries citing papers authored by Jorge Aranda

Since Specialization

Citations

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

Fields of papers citing papers by Jorge Aranda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Aranda

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

All Works

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14 of 14 papers shown

1.

Wilson, Greg, et al.. (2024). Experience Report: It Will Never Work in Theory. IEEE Software. 41(3). 80–82. 2 indexed citations

2.

Schröter, Adrian, Jorge Aranda, Daniela Damian, & Irwin Kwan. (2012). To talk or not to talk. 14. 1317–1326. 9 indexed citations

3.

Liaskos, Sotirios, et al.. (2012). On eliciting contribution measures in goal models. 29 indexed citations

4.

Liaskos, Sotirios, et al.. (2011). The mysteries of goal decomposition. 49–54. 4 indexed citations

5.

Wilson, Greg & Jorge Aranda. (2011). Empirical Software Engineering. American Scientist. 99(6). 466–466. 28 indexed citations

6.

Aranda, Jorge & Gina Venolia. (2009). The secret life of bugs: Going past the errors and omissions in software repositories. 298–308. 196 indexed citations

7.

Aranda, Jorge, et al.. (2008). On the difficulty of replicating human subjects studies in software engineering. 191–200. 57 indexed citations

8.

Aranda, Jorge, Neil Ernst, Jennifer Horkoff, & Steve Easterbrook. (2007). A Framework for Empirical Evaluation of Model Comprehensibility. 7–7. 50 indexed citations

9.

Aranda, Jorge, Steve Easterbrook, & Greg Wilson. (2007). Requirements in the wild: How small companies do it. 39–48. 59 indexed citations

10.

Aranda, Jorge, et al.. (2007). Discovering the shared understanding dynamics of large software teams. 244–244. 2 indexed citations

11.

Strohmaier, Markus, Eric Yu, Jennifer Horkoff, Jorge Aranda, & Steve Easterbrook. (2007). Analyzing Knowledge Transfer Effectiveness--An Agent-Oriented Modeling Approach. MADOC (University of Mannheim). 188b–188b. 24 indexed citations

12.

Easterbrook, Steve, et al.. (2005). Do viewpoints lead to better conceptual models? An exploratory case study. 199–208. 38 indexed citations

13.

Aranda, Jorge & Steve Easterbrook. (2005). Anchoring and adjustment in software estimation. 346–355. 40 indexed citations

14.

Aranda, Jorge & Steve Easterbrook. (2005). Anchoring and adjustment in software estimation. ACM SIGSOFT Software Engineering Notes. 30(5). 346–355. 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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