June Sallou

533 total citations · 1 hit paper
9 papers, 189 citations indexed

About

June Sallou is a scholar working on Electrical and Electronic Engineering, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, June Sallou has authored 9 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Computer Science Applications and 2 papers in Computer Networks and Communications. Recurrent topics in June Sallou's work include Mobile Crowdsensing and Crowdsourcing (3 papers), Green IT and Sustainability (3 papers) and IoT and Edge/Fog Computing (2 papers). June Sallou is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (3 papers), Green IT and Sustainability (3 papers) and IoT and Edge/Fog Computing (2 papers). June Sallou collaborates with scholars based in Netherlands, Germany and Italy. June Sallou's co-authors include Luís Cruz, Roberto Verdecchia, Thomas Durieux, Annibale Panichella, Arie van Deursen, Daniel Feitosa and Jan S. Rellermeyer and has published in prestigious journals such as Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, University of Groningen research database (University of Groningen / Centre for Information Technology) and arXiv (Cornell University).

In The Last Decade

June Sallou

7 papers receiving 178 citations

Hit Papers

align trajectories

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.

A systematic review of Green AI

2023 115 citations Roberto Verdecchia, June Sallou et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
June Sallou Netherlands	5	56	39	36	29	20	9	189
Christian Johansen Norway	7	47 0.8×	20 0.5×	49 1.4×	37 1.3×	20 1.0×	35	189
Shaochen Zhong United States	3	140 2.5×	13 0.3×	42 1.2×	28 1.0×	9 0.5×	6	278
Mohamad Gharib Italy	10	89 1.6×	11 0.3×	53 1.5×	36 1.2×	17 0.8×	30	200
Hongye Jin United States	2	128 2.3×	10 0.3×	41 1.1×	24 0.8×	9 0.5×	2	241
Patrice Caire Luxembourg	9	118 2.1×	41 1.1×	40 1.1×	24 0.8×	10 0.5×	29	205
Sanjay Singla India	7	40 0.7×	5 0.1×	37 1.0×	26 0.9×	24 1.2×	79	213
Tai D. Nguyen Vietnam	5	100 1.8×	45 1.2×	229 6.4×	114 3.9×	22 1.1×	9	323
Carol Woody United States	6	39 0.7×	13 0.3×	109 3.0×	57 2.0×	13 0.7×	26	190
Mohamed Ridda Laouar Algeria	8	56 1.0×	12 0.3×	67 1.9×	49 1.7×	3 0.1×	48	202
Bingfeng Pi China	7	55 1.0×	28 0.7×	212 5.9×	78 2.7×	7 0.3×	12	241

Countries citing papers authored by June Sallou

Since Specialization

Citations

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

Fields of papers citing papers by June Sallou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of June Sallou

This figure shows the co-authorship network connecting the top 25 collaborators of June Sallou. A scholar is included among the top collaborators of June Sallou 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 June Sallou. June Sallou 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:

9 of 9 papers shown

1.

Sallou, June, et al.. (2025). Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy. Socio-Environmental Systems Modeling. 100–111.

2.

Sallou, June, et al.. (2024). Green AI in Action: Strategic Model Selection for Ensembles in Production. 50–58. 2 indexed citations

3.

Sallou, June, Thomas Durieux, & Annibale Panichella. (2024). Breaking the Silence: the Threats of Using LLMs in Software Engineering. 102–106. 30 indexed citations

4.

Verdecchia, Roberto, June Sallou, & Luís Cruz. (2023). A systematic review of Green AI. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(4). 115 indexed citations breakdown →

5.

Sallou, June, et al.. (2023). The Two Faces of AI in Green Mobile Computing: A Literature Review. 33. 301–309. 2 indexed citations

6.

Sallou, June, et al.. (2023). Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques. Research Repository (Delft University of Technology). 17–18. 7 indexed citations

7.

Verdecchia, Roberto, June Sallou, & Luís Cruz. (2023). A Systematic Review of Green AI. arXiv (Cornell University). 17 indexed citations

8.

Cruz, Luís, et al.. (2023). Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI. University of Groningen research database (University of Groningen / Centre for Information Technology). 25–36. 16 indexed citations

9.

Cruz, Luís, et al.. (2023). Batching for Green AI - An Exploratory Study on Inference. University of Groningen research database (University of Groningen / Centre for Information Technology). 112–119.

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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