Myriam Munezero

838 total citations
19 papers, 517 citations indexed

About

Myriam Munezero is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Myriam Munezero has authored 19 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Science Applications and 6 papers in Information Systems. Recurrent topics in Myriam Munezero's work include Open Source Software Innovations (6 papers), Hate Speech and Cyberbullying Detection (4 papers) and Software Engineering Techniques and Practices (4 papers). Myriam Munezero is often cited by papers focused on Open Source Software Innovations (6 papers), Hate Speech and Cyberbullying Detection (4 papers) and Software Engineering Techniques and Practices (4 papers). Myriam Munezero collaborates with scholars based in Finland, Japan and Germany. Myriam Munezero's co-authors include Calkin Suero Montero, Erkki Sutinen, Maxim Mozgovoy, Leo Leppänen, Hannu Toivonen, Mark Granroth-Wilding, Fabian Fagerholm, Tomi Männistö, Tuomo Kakkonen and Asta Bäck and has published in prestigious journals such as IEEE Access, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

Myriam Munezero

19 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Myriam Munezero Finland	9	275	92	86	64	63	19	517
Marouane Birjali Morocco	11	578 2.1×	116 1.3×	192 2.2×	89 1.4×	31 0.5×	16	808
Miikka Kuutila Finland	7	300 1.1×	110 1.2×	119 1.4×	49 0.8×	18 0.3×	15	504
Bruce Ferwerda Sweden	15	116 0.4×	158 1.7×	140 1.6×	52 0.8×	64 1.0×	44	612
Megan Squire United States	9	323 1.2×	206 2.2×	206 2.4×	70 1.1×	21 0.3×	31	722
Huahai Yang United States	16	397 1.4×	150 1.6×	146 1.7×	117 1.8×	32 0.5×	31	757
Ying‐Hsang Liu Australia	13	132 0.5×	97 1.1×	149 1.7×	19 0.3×	24 0.4×	58	449
Swapna Somasundaran United States	17	1.2k 4.3×	125 1.4×	198 2.3×	47 0.7×	43 0.7×	35	1.3k
Sebastian Hobert Germany	10	320 1.2×	83 0.9×	52 0.6×	66 1.0×	10 0.2×	35	483
Marçal Mora‐Cantallops Spain	11	109 0.4×	186 2.0×	71 0.8×	39 0.6×	16 0.3×	27	453

Countries citing papers authored by Myriam Munezero

Since Specialization

Citations

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

Fields of papers citing papers by Myriam Munezero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myriam Munezero

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

All Works

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19 of 19 papers shown

Lindén, Carl‐Gustav, Asta Bäck, Nicholas Diakopoulos, et al.. (2019). News Automation: The rewards, risks and realities of 'machine journalism'. Jyväskylä University Digital Archive (University of Jyväskylä). 18 indexed citations

Fagerholm, Fabian, et al.. (2019). Patterns of user involvement in experiment-driven software development. Information and Software Technology. 120. 106244–106244. 8 indexed citations

Bäck, Asta, et al.. (2018). No Landslide for the Human Journalist - An Empirical Study of Computer-Generated Election News in Finland. IEEE Access. 6. 43356–43367. 22 indexed citations

Munezero, Myriam, et al.. (2018). Towards Data-Driven Generation of Visualizations for Automatically Generated News Articles. Työväentutkimus Vuosikirja. 100–109. 2 indexed citations

Leppänen, Leo, Myriam Munezero, Mark Granroth-Wilding, & Hannu Toivonen. (2017). Data-Driven News Generation for Automated Journalism. 188–197. 56 indexed citations

Leppänen, Leo, et al.. (2017). Finding and expressing news from structured data. 174–183. 12 indexed citations

Munezero, Myriam, Fabian Fagerholm, Petri Kettunen, et al.. (2017). Continuous Experimentation Cookbook: An introduction to systematic experimentation for software-intensive businesses. Työväentutkimus Vuosikirja. 3 indexed citations

Fagerholm, Fabian, et al.. (2017). Notifying and Involving Users in Experimentation: Ethical Perceptions of Software Practitioners. Työväentutkimus Vuosikirja. 10. 199–204. 5 indexed citations

Mäenpää, Hanna, Fabian Fagerholm, Myriam Munezero, Terhi Kilamo, & Tommi Mikkonen. (2017). Entering an ecosystem : The hybrid OSS landscape from a developer perspective. Työväentutkimus Vuosikirja. 2053. 127–137. 2 indexed citations

10.

Munezero, Myriam, et al.. (2017). Introducing continuous experimentation in large software-intensive product and service organisations. Journal of Systems and Software. 133. 195–211. 30 indexed citations

11.

Mäenpää, Hanna, Myriam Munezero, Fabian Fagerholm, & Tommi Mikkonen. (2017). The many hats and the broken binoculars. 1–9. 6 indexed citations

12.

Munezero, Myriam, et al.. (2016). Benefits and challenges of introducing a blended project-based approach in higher education: Experiences from a Kenyan university. The International Journal of Education and Development using Information and Communication Technology (The University of the West Indies). 12(2). 206–218. 9 indexed citations

13.

Kobayashi, Yuki, Myriam Munezero, & Maxim Mozgovoy. (2016). Analysis of Emotions in Real-time Twitter Streams. 40(4). 4 indexed citations

14.

Munezero, Myriam, Calkin Suero Montero, Tuomo Kakkonen, et al.. (2014). Automatic Detection of Antisocial Behaviour in Texts. 38(1). 13 indexed citations

15.

Munezero, Myriam, et al.. (2014). Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text. IEEE Transactions on Affective Computing. 5(2). 101–111. 244 indexed citations

16.

Munezero, Myriam, Maxim Mozgovoy, Tuomo Kakkonen, Vitaly Klyuev, & Erkki Sutinen. (2013). Antisocial Behavior corpus for harmful language detection. Federated Conference on Computer Science and Information Systems. 261–265. 8 indexed citations

17.

Munezero, Myriam, Calkin Suero Montero, Maxim Mozgovoy, & Erkki Sutinen. (2013). Exploiting sentiment analysis to track emotions in students' learning diaries. 145–152. 66 indexed citations

18.

Munezero, Myriam, Tuomo Kakkonen, Carolina Islas Sedano, Erkki Sutinen, & Calkin Suero Montero. (2013). EmotionExpert: Facebook game for crowdsourcing annotations for emotion detection. 179–186. 4 indexed citations

19.

Munezero, Myriam, Tuomo Kakkonen, & Calkin Suero Montero. (2011). Towards automatic detection of antisocial behavior from texts. 20–27. 5 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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