Tor‐Morten Grønli

1.6k total citations · 1 hit paper
82 papers, 863 citations indexed

About

Tor‐Morten Grønli is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tor‐Morten Grønli has authored 82 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 30 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tor‐Morten Grønli's work include IoT and Edge/Fog Computing (18 papers), Mobile and Web Applications (18 papers) and Context-Aware Activity Recognition Systems (13 papers). Tor‐Morten Grønli is often cited by papers focused on IoT and Edge/Fog Computing (18 papers), Mobile and Web Applications (18 papers) and Context-Aware Activity Recognition Systems (13 papers). Tor‐Morten Grønli collaborates with scholars based in Norway, United Kingdom and Ethiopia. Tor‐Morten Grønli's co-authors include Gheorghiță Ghinea, Andreas Biørn-Hansen, Tim A. Majchrzak, Abdullah Lakhan, Prayag Tiwari, Muhammad Younas, Rutvij H. Jhaveri, Andrii Shalaginov, Guru Prasad Bhandari and Cristian Mateos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Tor‐Morten Grønli

78 papers receiving 799 citations

Hit Papers

Consumer-Centric Internet... 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tor‐Morten Grønli Norway 17 366 285 172 131 99 82 863
Rossana M. C. Andrade Brazil 17 409 1.1× 445 1.6× 249 1.4× 148 1.1× 51 0.5× 201 1.0k
Ismail Keshta Saudi Arabia 15 388 1.1× 217 0.8× 232 1.3× 56 0.4× 80 0.8× 93 925
Ryan Alturki Saudi Arabia 15 158 0.4× 232 0.8× 196 1.1× 118 0.9× 70 0.7× 69 716
Benedikt Schmidt Germany 13 202 0.6× 231 0.8× 212 1.2× 69 0.5× 39 0.4× 46 596
Mengjun Xie United States 15 368 1.0× 372 1.3× 247 1.4× 48 0.4× 254 2.6× 60 899
Andreas Jacobsson Sweden 13 249 0.7× 279 1.0× 143 0.8× 133 1.0× 171 1.7× 46 738
Haifeng Shen Australia 16 335 0.9× 292 1.0× 251 1.5× 67 0.5× 48 0.5× 101 999
Zarina Shukur Malaysia 19 641 1.8× 287 1.0× 331 1.9× 105 0.8× 130 1.3× 102 1.2k
Nikolaos D. Tselikas Greece 14 314 0.9× 280 1.0× 349 2.0× 213 1.6× 32 0.3× 86 1.2k
Maria Ebling United States 17 228 0.6× 608 2.1× 120 0.7× 99 0.8× 68 0.7× 56 1.0k

Countries citing papers authored by Tor‐Morten Grønli

Since Specialization
Citations

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

Fields of papers citing papers by Tor‐Morten Grønli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tor‐Morten Grønli. 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 Tor‐Morten Grønli. The network helps show where Tor‐Morten Grønli may publish in the future.

Co-authorship network of co-authors of Tor‐Morten Grønli

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

All Works

20 of 20 papers shown
2.
Bhandari, Guru Prasad, et al.. (2025). State-of-the-Art and Challenges of Engineering ML- Enabled Software Systems in the Deep Learning Era. ACM Computing Surveys. 57(10). 1–35. 1 indexed citations
3.
Grønli, Tor‐Morten, et al.. (2024). Evolving Software Architecture Design in Telemedicine: A PRISMA-based Systematic Review. Healthcare Informatics Research. 30(3). 184–193. 2 indexed citations
4.
Younas, Muhammad, Irfan Awan, & Tor‐Morten Grønli. (2023). Mobile Web and Intelligent Information Systems. Lecture notes in computer science. 1 indexed citations
6.
Lakhan, Abdullah, Tor‐Morten Grønli, Ghulam Muhammad, & Prayag Tiwari. (2023). EDCNNS: Federated learning enabled evolutionary deep convolutional neural network for Alzheimer disease detection. Applied Soft Computing. 147. 110804–110804. 21 indexed citations
7.
Bhandari, Guru Prasad, et al.. (2022). Artificial Intelligence Enabled Middleware for Distributed Cyberattacks Detection in IoT-based Smart Environments. 2022 IEEE International Conference on Big Data (Big Data). 3023–3032. 6 indexed citations
8.
Grønli, Tor‐Morten, et al.. (2021). Automated Climate Monitoring System: the Case of Greenhouse Industries in Ethiopia. Internet of Things. 15. 100426–100426. 2 indexed citations
9.
Shalaginov, Andrii & Tor‐Morten Grønli. (2021). Securing Smart Future: Cyber Threats and Intelligent Means to Respond. 2021 IEEE International Conference on Big Data (Big Data). 2560–2564. 2 indexed citations
10.
Mateos, Cristian, et al.. (2021). A Simulation-based Performance Evaluation of Heuristics for Dew Computing. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 9 indexed citations
11.
Grønli, Tor‐Morten, et al.. (2020). Monitoring Activities of Daily Living Using UWB Radar Technology: A Contactless Approach. IoT. 1(2). 320–336. 13 indexed citations
12.
Biørn-Hansen, Andreas, Tor‐Morten Grønli, Gheorghiță Ghinea, & Sahel Alouneh. (2019). An Empirical Study of Cross-Platform Mobile Development in Industry. Wireless Communications and Mobile Computing. 2019. 1–12. 29 indexed citations
13.
Biørn-Hansen, Andreas, Tor‐Morten Grønli, & Gheorghiță Ghinea. (2019). Animations in Cross-Platform Mobile Applications: An Evaluation of Tools, Metrics and Performance. Sensors. 19(9). 2081–2081. 8 indexed citations
14.
Grønli, Tor‐Morten, et al.. (2019). Immutable Infrastructure Calls for Immutable Architecture. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations
15.
Biørn-Hansen, Andreas, Tor‐Morten Grønli, & Gheorghiță Ghinea. (2018). A Survey and Taxonomy of Core Concepts and Research Challenges in Cross-Platform Mobile Development. ACM Computing Surveys. 51(5). 1–34. 37 indexed citations
16.
Ghinea, Gheorghiță, et al.. (2018). Enhanced Agility of E-Learning Adoption in High Schools. Educational Technology & Society. 21(4). 157–170. 12 indexed citations
17.
Majchrzak, Tim A. & Tor‐Morten Grønli. (2017). Comprehensive Analysis of Innovative Cross-Platform App Development Frameworks. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 30 indexed citations
18.
Ghinea, Gheorghiță, et al.. (2017). REST4Mobile: A framework for enhanced usability of REST services on smartphones. Concurrency and Computation Practice and Experience. 32(1). 2 indexed citations
19.
Grønli, Tor‐Morten, et al.. (2017). Exploring Microsoft Hololens for Interactive Visualization of UML Diagrams. Brunel University Research Archive (BURA) (Brunel University London). 121–127. 4 indexed citations
20.
Grønli, Tor‐Morten, et al.. (2014). Mobile Application Platform Heterogeneity: Android vs Windows Phone vs iOS vs Firefox OS. Brunel University Research Archive (BURA) (Brunel University London). 635–641. 50 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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