Lorenz Cuno Klopfenstein
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- Mobile Crowdsensing and Crowdsourcing 7
- Teaching and Learning Programming 3
- Health Informatics top 10%
- Human-Computer Interaction top 10%
- Transportation top 10%
- Human Mobility and Location-Based Analysis 4
- Artificial Intelligence top 10%
- AI in Service Interactions 4
- Artificial Intelligence in Games 2
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- Multimedia Communication and Technology 3
- Digital Games and Media 2
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- IoT and Edge/Fog Computing 2
- Co-authors
- Alessandro BoglioloSaverio DelprioriEmanuele LattanziValerio FreschiSara MontagnaMartino F. PengoStefano FerrettiAlberto Carini
- Journals
- IEEE Access (3 papers)Journal of Communications and Networks (1 paper)International Review of Applied Economics (1 paper)
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Lorenz Cuno Klopfenstein
25 papers receiving 362 citations
Peers
Comparison fields: 5 of 77
- Computer Science Applications 90
- Health Informatics 20
- Human-Computer Interaction 36
- Transportation 36
- Artificial Intelligence 160
Countries citing papers authored by Lorenz Cuno Klopfenstein
This map shows the geographic impact of Lorenz Cuno Klopfenstein'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 Lorenz Cuno Klopfenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Cuno Klopfenstein more than expected).
Fields of papers citing papers by Lorenz Cuno Klopfenstein
This network shows the impact of papers produced by Lorenz Cuno Klopfenstein. 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 Lorenz Cuno Klopfenstein. The network helps show where Lorenz Cuno Klopfenstein may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Lorenz Cuno Klopfenstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 34 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 10 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 3 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 5 | |
| 13 | 2017 | 153 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2014 | 27 | |
| 18 | 2011 | 1 | |
| 19 | Making an Android Tablet Work as a Set-Top Box | 2011 | 2 |
| 20 | 2010 | 3 |
About Lorenz Cuno Klopfenstein
Lorenz Cuno Klopfenstein is a scholar working on Computer Science Applications, Human-Computer Interaction and Transportation, having authored 27 papers that have together received 375 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (7 papers), AI in Service Interactions (4 papers), Human Mobility and Location-Based Analysis (4 papers), Teaching and Learning Programming (3 papers), Multimedia Communication and Technology (3 papers), Digital Games and Media (2 papers), Artificial Intelligence in Games (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Science Applications (90 citations), Health Informatics (20 citations) and Human-Computer Interaction (36 citations). Lorenz Cuno Klopfenstein has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Alessandro Bogliolo, Saverio Delpriori, Emanuele Lattanzi, Valerio Freschi, Sara Montagna, Martino F. Pengo, Stefano Ferretti, Alberto Carini, Alessandro Aldini and Luca Morini. Their work appears in journals such as IEEE Access, Journal of Communications and Networks and International Review of Applied Economics.
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.