June Sallou

533 citations
9 papers · 189 indexed · 1 hit paper · h-index 5
Topics
Mobile Crowdsensing and Crowdsourcing (3 papers)Green IT and Sustainability (3 papers)IoT and Edge/Fog Computing (2 papers)
Journals
Wiley Interdisciplinary Reviews Data Mining and Knowledge DiscoveryUniversity of Groningen research database (University of Groningen / Centre for Information Technology)arXiv (Cornell University)
Partner nations
NetherlandsGermanyItaly

In The Last Decade

June Sallou

7 papers receiving 178 citations

Hit Papers

A systematic review of Green AI20232026202420252023255075100

Peers

June Sallou
Comparison fields: 5 of 61
  • Artificial Intelligence 56
  • Electrical and Electronic Engineering 39
  • Information Systems 36
  • Computer Networks and Communications 29
  • Software 20
Replace Christian Johansen with:
Christian Johansen Norway
Gwendal Daniel Spain
Sanjay Singla India
Anabel Fraga Spain
Gerard O’Regan Kyrgyzstan
Andrew Jones United Kingdom
Thomas Roth–Berghofer Germany
Muhammad Faisal Abrar Pakistan
Patrice Caire Luxembourg
Valentín Moreno Spain
June Sallou relative to Christian Johansen Norway Christian Johansen's profile →
Citations per field
00.5×5.8×
Christian Johansen · 1×
Citations per year

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

9 of 9 papers shown
#WorkIndexed citations
1 0
2 2
3 30
4
A systematic review of Green AIbreakdown →
115
5 2
6 7
7 17
8 16
9 0

About June Sallou

June Sallou is a scholar working on Computer Science Applications, Software and Environmental Engineering, having authored 9 papers that have together received 189 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (3 papers), Green IT and Sustainability (3 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Software (20 citations), Computer Science Applications (12 citations) and Health Informatics (3 citations). June Sallou has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Luís Cruz, Roberto Verdecchia, Thomas Durieux, Annibale Panichella, Arie van Deursen, Daniel Feitosa and Jan S. Rellermeyer. Their work appears in 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).

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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