Fredrik Ahlgren

717 total citations
27 papers, 471 citations indexed

About

Fredrik Ahlgren is a scholar working on Environmental Engineering, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Fredrik Ahlgren has authored 27 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 5 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Fredrik Ahlgren's work include Maritime Transport Emissions and Efficiency (12 papers), IoT and Edge/Fog Computing (5 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers). Fredrik Ahlgren is often cited by papers focused on Maritime Transport Emissions and Efficiency (12 papers), IoT and Edge/Fog Computing (5 papers) and Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers). Fredrik Ahlgren collaborates with scholars based in Sweden, Denmark and North Macedonia. Fredrik Ahlgren's co-authors include Marcus Thern, María E. Mondéjar, Magnus Genrup, Francesco Baldi, Olle Inganäs, K. Peter R. Nilsson, Gunilla T. Westermark, Per Hammarström, Anna Herland and Mikaël Lindgren and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Sensors.

In The Last Decade

Fredrik Ahlgren

24 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fredrik Ahlgren Sweden 10 165 119 66 58 56 27 471
Yajun Li China 17 43 0.3× 244 2.1× 65 1.0× 24 0.4× 365 6.5× 59 915
Mohammed Issam Kabbaj Morocco 8 27 0.2× 33 0.3× 11 0.2× 24 0.4× 236 4.2× 18 577
Yong‐Chao Liu China 19 16 0.1× 152 1.3× 53 0.8× 39 0.7× 765 13.7× 69 1.3k
Zhengyuan Liu China 14 11 0.1× 105 0.9× 28 0.4× 20 0.3× 59 1.1× 92 625
Chengzhou Li China 13 22 0.1× 63 0.5× 47 0.7× 11 0.2× 219 3.9× 34 531
Qianqian Liu China 10 80 0.5× 39 0.3× 63 1.0× 3 0.1× 503 9.0× 34 811
Xi Xia China 8 66 0.4× 23 0.2× 15 0.2× 16 0.3× 74 1.3× 32 330
Zhikun Liu China 12 10 0.1× 86 0.7× 46 0.7× 39 0.7× 36 0.6× 46 436

Countries citing papers authored by Fredrik Ahlgren

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Ahlgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Ahlgren

This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Ahlgren. A scholar is included among the top collaborators of Fredrik Ahlgren 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 Fredrik Ahlgren. Fredrik Ahlgren 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
1.
Zdravkova, Katerina, et al.. (2024). Unveiling the Impact of Large Language Models on Student Learning: A Comprehensive Case Study. 1–8. 2 indexed citations
2.
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Musaddiq, Arslan, Tobias Olsson, & Fredrik Ahlgren. (2023). Reinforcement-Learning-Based Routing and Resource Management for Internet of Things Environments: Theoretical Perspective and Challenges. Sensors. 23(19). 8263–8263. 8 indexed citations
5.
Olsson, Tobias, et al.. (2023). MapReduce scheduling algorithms in Hadoop: a systematic study. Journal of Cloud Computing Advances Systems and Applications. 12(1). 10 indexed citations
6.
Sun, Baozhi, et al.. (2023). Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods. Journal of Marine Science and Engineering. 11(4). 738–738. 20 indexed citations
7.
Zdravkova, Katerina, Fisnik Dalipi, & Fredrik Ahlgren. (2023). Integration of Large Language Models into Higher Education: A Perspective from Learners. 1–6. 2 indexed citations
8.
Palma, Francis, Tobias Olsson, Anna Wingkvist, Fredrik Ahlgren, & Daniel Toll. (2022). Investigating the Linguistic Design Quality of Public, Partner, and Private REST APIs. 20–30. 2 indexed citations
9.
Musaddiq, Arslan, et al.. (2022). Internet of Things for Wetland Conservation using Helium Network: Experience and Analysis. DiVA (Linnaeus University). 143–146. 5 indexed citations
10.
Musaddiq, Arslan, et al.. (2022). DynaSens: Dynamic Scheduling for IoT Devices Sustainability. 1–7. 5 indexed citations
11.
Dalipi, Fisnik, Katerina Zdravkova, & Fredrik Ahlgren. (2021). Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review. Frontiers in Artificial Intelligence. 4. 728708–728708. 22 indexed citations
12.
Ahlgren, Fredrik, et al.. (2021). Insect biodiversity in agriculture using IoT: opportunities and needs for further research. 11. 1–5. 3 indexed citations
13.
Huang, Luofeng, et al.. (2020). A Review on Applications of Machine Learning in Shipping Sustainability. UCL Discovery (University College London). 4 indexed citations
14.
Ahlgren, Fredrik, María E. Mondéjar, & Marcus Thern. (2019). Predicting Dynamic Fuel Oil Consumption on Ships with Automated Machine Learning. Energy Procedia. 158. 6126–6131. 27 indexed citations
15.
Baldi, Francesco, et al.. (2018). Energy and Exergy Analysis of a Cruise Ship. Energies. 11(10). 2508–2508. 5 indexed citations
16.
Ahlgren, Fredrik & Marcus Thern. (2018). Auto Machine Learning for predicting Ship Fuel Consumption. DiVA (Linnaeus University). 6 indexed citations
17.
Ahlgren, Fredrik. (2018). Reducing ships' fuel consumption and emissions by learning from data. DiVA (Linnaeus University). 2 indexed citations
18.
Mondéjar, María E., Fredrik Ahlgren, Marcus Thern, & Magnus Genrup. (2016). Quasi-steady state simulation of an organic Rankine cycle for waste heat recovery in a passenger vessel. Applied Energy. 185. 1324–1335. 76 indexed citations
19.
Ahlgren, Fredrik, María E. Mondéjar, Magnus Genrup, & Marcus Thern. (2015). Waste Heat Recovery in a Cruise Vessel in the Baltic Sea by Using an Organic Rankine Cycle: A Case Study. Lund University Publications (Lund University). 18 indexed citations
20.
Nilsson, K. Peter R., Per Hammarström, Fredrik Ahlgren, et al.. (2006). Conjugated Polyelectrolytes—Conformation‐Sensitive Optical Probes for Staining and Characterization of Amyloid Deposits. ChemBioChem. 7(7). 1096–1104. 108 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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