Emitzá Guzmán

2.7k total citations · 2 hit papers
37 papers, 1.8k citations indexed

About

Emitzá Guzmán is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Emitzá Guzmán has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Information Systems, 18 papers in Artificial Intelligence and 11 papers in Computer Science Applications. Recurrent topics in Emitzá Guzmán's work include Software Engineering Research (28 papers), Open Source Software Innovations (11 papers) and Web Data Mining and Analysis (10 papers). Emitzá Guzmán is often cited by papers focused on Software Engineering Research (28 papers), Open Source Software Innovations (11 papers) and Web Data Mining and Analysis (10 papers). Emitzá Guzmán collaborates with scholars based in Germany, Switzerland and Netherlands. Emitzá Guzmán's co-authors include Walid Maalej, Bernd Bruegge, Gerardo Canfora, Sebastiano Panichella, Harald C. Gall, Andrea Di Sorbo, Corrado Aaron Visaggio, Rana Alkadhi, Norbert Seyff and Li Yang and has published in prestigious journals such as IEEE Software, Information and Software Technology and Empirical Software Engineering.

In The Last Decade

Emitzá Guzmán

33 papers receiving 1.8k citations

Hit Papers

How Do Users Like This Feature? A Fine Grained Sentiment ... 2014 2026 2018 2022 2014 2015 100 200 300 400
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 Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews
    2014 414 citations Emitzá Guzmán, Walid Maalej profile →
  2. How can i improve my app? Classifying user reviews for software maintenance and evolution
    2015 332 citations Sebastiano Panichella, Andrea Di Sorbo et al. Zurich Open Repository and Archive (University of Zurich) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emitzá Guzmán Germany 18 1.4k 717 437 246 157 37 1.8k
Matthew Lease United States 27 762 0.5× 1.3k 1.9× 854 2.0× 228 0.9× 142 0.9× 106 2.3k
Vibha Singhal Sinha India 13 517 0.4× 494 0.7× 184 0.4× 170 0.7× 64 0.4× 36 1.0k
Fabiano Dalpiaz Netherlands 24 1.3k 0.9× 831 1.2× 276 0.6× 130 0.5× 62 0.4× 118 1.8k
Andrea Di Sorbo Italy 19 1.2k 0.8× 426 0.6× 217 0.5× 139 0.6× 280 1.8× 45 1.5k
Norsaremah Salleh Malaysia 16 869 0.6× 199 0.3× 318 0.7× 85 0.3× 112 0.7× 62 1.4k
Helen Ashman Australia 19 616 0.4× 652 0.9× 172 0.4× 214 0.9× 186 1.2× 83 1.5k
Hal Abelson United States 19 393 0.3× 700 1.0× 535 1.2× 125 0.5× 66 0.4× 50 1.8k
Mária Bieliková Slovakia 19 865 0.6× 790 1.1× 329 0.8× 176 0.7× 65 0.4× 186 1.6k
Analı́a Amandi Argentina 25 710 0.5× 822 1.1× 660 1.5× 142 0.6× 60 0.4× 103 2.0k
Jialiu Lin United States 14 852 0.6× 421 0.6× 309 0.7× 744 3.0× 505 3.2× 21 1.8k

Countries citing papers authored by Emitzá Guzmán

Since Specialization
Citations

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

Fields of papers citing papers by Emitzá Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emitzá Guzmán

This figure shows the co-authorship network connecting the top 25 collaborators of Emitzá Guzmán. A scholar is included among the top collaborators of Emitzá Guzmán 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 Emitzá Guzmán. Emitzá Guzmán 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.
Guzmán, Emitzá, et al.. (2024). Uncovering Patterns in Users' Ethical Concerns About Software. VU Research Portal. 466–474.
2.
Guzmán, Emitzá, et al.. (2024). The best ends by the best means: ethical concerns in app reviews. Empirical Software Engineering. 29(6). 1 indexed citations
3.
Guzmán, Emitzá, et al.. (2023). Mind the gap: gender, micro-inequities and barriers in software development. Empirical Software Engineering. 29(1). 5 indexed citations
4.
Guzmán, Emitzá, et al.. (2023). Whistleblowing and Tech on Twitter. 296–308. 1 indexed citations
5.
Verdecchia, Roberto, et al.. (2022). Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack Overflow. VU Research Portal. 45–56. 6 indexed citations
6.
Panichella, Sebastiano, Emitzá Guzmán, Liliana Pasquale, Norbert Seyff, & Andrea Di Sorbo. (2019). Guest Editors Introduction: Special Issue on User Feedback and Software Quality in the Mobile Domain. Information and Software Technology. 112. 176–177.
7.
Alkadhi, Rana, et al.. (2017). REACT: An Approach for Capturing Rationale in Chat Messages. 175–180. 18 indexed citations
8.
Seyff, Norbert, et al.. (2017). End-user Driven Feedback Prioritization. Zurich Open Repository and Archive (University of Zurich). 5 indexed citations
9.
Guzmán, Emitzá, et al.. (2017). Mining Twitter Messages for Software Evolution. Zurich Open Repository and Archive (University of Zurich). 283–284. 7 indexed citations
10.
Guzmán, Emitzá, et al.. (2017). Which Feature is Unusable? Detecting Usability and User Experience Issues from User Reviews. 182–187. 37 indexed citations
11.
Guzmán, Emitzá, Rana Alkadhi, & Norbert Seyff. (2017). An exploratory study of Twitter messages about software applications. Requirements Engineering. 22(3). 387–412. 48 indexed citations
12.
Guzmán, Emitzá, et al.. (2017). A Little Bird Told Me: Mining Tweets for Requirements and Software Evolution. Zurich Open Repository and Archive (University of Zurich). 11–20. 82 indexed citations
13.
Guzmán, Emitzá, Rana Alkadhi, & Norbert Seyff. (2016). A Needle in a Haystack: What Do Twitter Users Say about Software?. Zurich Open Repository and Archive (University of Zurich). 96–105. 89 indexed citations
14.
Guzmán, Emitzá & Walid Maalej. (2015). Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews.. 140. 3 indexed citations
15.
Panichella, Sebastiano, Andrea Di Sorbo, Emitzá Guzmán, et al.. (2015). How can i improve my app? Classifying user reviews for software maintenance and evolution. Zurich Open Repository and Archive (University of Zurich). 281–290. 332 indexed citations breakdown →
16.
Guzmán, Emitzá, et al.. (2014). Sentiment analysis of commit comments in GitHub: an empirical study. 352–355. 152 indexed citations
17.
Guzmán, Emitzá, et al.. (2014). FAVe: Visualizing User Feedback for Software Evolution. 167–171. 14 indexed citations
18.
Guzmán, Emitzá & Bernd Bruegge. (2013). Towards emotional awareness in software development teams. 671–674. 79 indexed citations
19.
Guzmán, Emitzá. (2013). Visualizing emotions in software development projects. 1–4. 14 indexed citations
20.
Kunze, Lars, Mihai Dolha, Emitzá Guzmán, & Michael Beetz. (2011). Simulation-based temporal projection of everyday robot object manipulation. Adaptive Agents and Multi-Agents Systems. 107–114. 33 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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