Vlad C. Coroamă

1.9k citations
47 papers · 811 indexed · h-index 16

Vlad C. Coroamă

44 papers receiving 707 citations

Peers

Vlad C. Coroamă
Comparison fields: 5 of 101
  • Human-Computer Interaction 97
  • Management of Technology and Innovation 65
  • Renewable Energy, Sustainability and the Environment 122
  • Information Systems and Management 47
  • Computer Science Applications 35
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Kelly Widdicks United Kingdom
Jens Malmodin Sweden
Martha Bicket United Kingdom
Richard Hauxwell‐Baldwin United Kingdom
Verena Tiefenbeck Switzerland
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Jasminko Novak Germany
Diego Casado–Mansilla Spain
Sushil Kumar Sahoo India
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Citations per year

Countries citing papers authored by Vlad C. Coroamă

Since Specialization
Citations

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

Fields of papers citing papers by Vlad C. Coroamă

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vlad C. Coroamă. 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 Vlad C. Coroamă. The network helps show where Vlad C. Coroamă may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Vlad C. Coroamă, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vlad C. Coroamă Line = papers co-authored together Vlad C. Coroamă links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 202414
4 202411
5 20243
6 20241
7 202318
8 202326
9 20231
10 202310
11 202311
12 20235
13 20136
14 201354
15
Energy Consumed vs. Energy Saved by ICT - A Closer Look.
200925
16 20094
17
Personalized vehicle insurance rates: A case for client-side personalization in ubiquitous computing
200621
18
The Smart Tachograph – Individual Accounting of Traffic Costs and its Implications
20064
19
Disappearing Computers Everywhere Living in a World of Smart Everyday Objects
200316
20
As we may live – Real-world implications of ubiquitous computing
200222

About Vlad C. Coroamă

Vlad C. Coroamă is a scholar working on Computer Science Applications, Management of Technology and Innovation and Industrial and Manufacturing Engineering, having authored 47 papers that have together received 811 indexed citations. Recurring topics across this work include Green IT and Sustainability (13 papers), Context-Aware Activity Recognition Systems (10 papers), Energy, Environment, and Transportation Policies (8 papers), Innovative Approaches in Technology and Social Development (5 papers), IoT and Edge/Fog Computing (4 papers), Environmental Education and Sustainability (4 papers), Recycling and Waste Management Techniques (4 papers) and Environmental Impact and Sustainability (3 papers). The work is most often cited by research in Human-Computer Interaction (97 citations), Management of Technology and Innovation (65 citations) and Renewable Energy, Sustainability and the Environment (122 citations). Vlad C. Coroamă has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Lorenz M. Hilty, Friedemann Mattern, Marc Langheinrich, Jürgen Bohn, Michael Rohs, Jonas Bohn, Matthias Finkbeiner, Daniel Pargman, Jens Malmodin and Birgit Penzenstadler. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Computer and Sustainability.

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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