Karl Andersson

7.1k total citations · 2 hit papers
200 papers, 3.5k citations indexed

About

Karl Andersson is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Karl Andersson has authored 200 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Networks and Communications, 50 papers in Artificial Intelligence and 50 papers in Electrical and Electronic Engineering. Recurrent topics in Karl Andersson's work include IPv6, Mobility, Handover, Networks, Security (23 papers), Wireless Networks and Protocols (14 papers) and Blockchain Technology Applications and Security (14 papers). Karl Andersson is often cited by papers focused on IPv6, Mobility, Handover, Networks, Security (23 papers), Wireless Networks and Protocols (14 papers) and Blockchain Technology Applications and Security (14 papers). Karl Andersson collaborates with scholars based in Sweden, Bangladesh and United Kingdom. Karl Andersson's co-authors include Mohammad Shahadat Hossain, Olov Schelén, Ahmed Afif Monrat, Raihan Ul Islam, Tanjim Mahmud, Mohammad Shahadat Hossain, Abhijit Pathak, Rashed Mustafa, Christer Åhlund and M. Shamim Kaiser and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Access.

In The Last Decade

Karl Andersson

187 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities

2019 657 citations Ahmed Afif Monrat, Olov Schelén et al. IEEE Access profile →
A Comparative Analysis of LIME and SHAP Interpreters With Explainable ML-Based Diabetes Predictions

2024 44 citations M. Shamim Kaiser, Mohammad Shahadat Hossain et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl Andersson Sweden	31	1.0k	996	855	425	361	200	3.5k
Osamah Ibrahim Khalaf Iraq	38	873 0.9×	941 0.9×	1.7k 2.0×	974 2.3×	398 1.1×	151	4.4k
Ashutosh Sharma India	35	763 0.8×	894 0.9×	928 1.1×	585 1.4×	404 1.1×	134	3.5k
Raghvendra Kumar India	31	633 0.6×	505 0.5×	849 1.0×	416 1.0×	302 0.8×	131	2.8k
V. Vijayakumar India	35	1000 1.0×	1.1k 1.1×	1.0k 1.2×	721 1.7×	682 1.9×	172	3.9k
Sweta Bhattacharya India	30	1.4k 1.4×	844 0.8×	1.2k 1.4×	455 1.1×	635 1.8×	61	4.3k
Wazir Zada Khan Saudi Arabia	31	963 1.0×	1.4k 1.4×	1.9k 2.2×	845 2.0×	551 1.5×	104	4.4k
Jing He China	30	1.1k 1.1×	1.1k 1.1×	1.0k 1.2×	499 1.2×	526 1.5×	300	3.7k
Awais Ahmad South Korea	36	1.1k 1.1×	989 1.0×	1.8k 2.1×	880 2.1×	866 2.4×	188	4.8k
Jerry Gao United States	33	733 0.7×	1.6k 1.6×	967 1.1×	226 0.5×	491 1.4×	181	3.4k
Tanupriya Choudhury India	22	623 0.6×	582 0.6×	597 0.7×	280 0.7×	301 0.8×	333	2.5k

Countries citing papers authored by Karl Andersson

Since Specialization

Citations

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

Fields of papers citing papers by Karl Andersson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Andersson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aziz, Mohammad Tarek, et al.. (2025). Textual and numerical data fusion for depression detection: a machine learning framework. Indonesian Journal of Electrical Engineering and Computer Science. 38(2). 1231–1231. 2 indexed citations

Mahmud, Tanjim, et al.. (2024). Enhancing Cybersecurity: Hybrid Deep Learning Approaches to Smishing Attack Detection. Systems. 12(11). 490–490. 14 indexed citations

Lindström, John, et al.. (2024). Extending Product Lifecycles—An Initial Model with New and Emerging Existential Design Aspects Required for Long and Extendable Lifecycles. Applied Sciences. 14(13). 5812–5812. 3 indexed citations

Hossain, Mohammad Shahadat, et al.. (2024). An Advanced Explainable Belief Rule-Based Framework to Predict the Energy Consumption of Buildings. Energies. 17(8). 1797–1797. 6 indexed citations

Mahmud, Tanjim, et al.. (2024). Hybrid Deep Transfer Learning Framework for Humerus Fracture Detection and Classification from X-ray Images. 1–6. 9 indexed citations

Nahar, Nazmun, et al.. (2024). A Transfer Learning-Based Framework: MobileNet-SVM for Efficient Tomato Leaf Disease Classification. 693–698. 30 indexed citations

Banna, Md. Hasan Al, Tapotosh Ghosh, Md Jaber Al Nahian, et al.. (2023). A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data. IEEE Access. 11. 77009–77022. 30 indexed citations

Banna, Md. Hasan Al, Tapotosh Ghosh, Md Jaber Al Nahian, et al.. (2021). Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction. IEEE Access. 9. 56589–56603. 49 indexed citations

Hossain, Mohammad Shahadat, et al.. (2021). An Integrated Deep Learning and Belief Rule-Based Expert System for Visual Sentiment Analysis under Uncertainty. Algorithms. 14(7). 213–213. 10 indexed citations

10.

Hossain, Mohammad Shahadat, et al.. (2021). Comparative Analysis of Recurrent Neural Networks in Stock Price Prediction for Different Frequency Domains. Algorithms. 14(8). 251–251. 18 indexed citations

11.

Monrat, Ahmed Afif, Olov Schelén, & Karl Andersson. (2020). Blockchain Mobility Solution for Charging Transactions of Electrical Vehicles. KTH Publication Database DiVA (KTH Royal Institute of Technology). 348–353. 6 indexed citations

12.

Alizadeh, Morteza, Karl Andersson, & Olov Schelén. (2020). A Survey of Secure Internet of Things in Relation to Blockchain. KTH Publication Database DiVA (KTH Royal Institute of Technology). 34 indexed citations

13.

Andersson, Karl, et al.. (2020). Packet Probing Study to Assess Sustainability in Available Bandwidth Measurements : Case of High-Speed Cellular Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 indexed citations

14.

Hossain, Mohammad Shahadat, et al.. (2020). Technological Innovation Capability Evaluation of High-Tech Firms Using Conjunctive and Disjunctive Belief Rule-Based Expert System : A Comparative Study. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations

15.

Hossain, Mohammad Shahadat, et al.. (2020). A Review on Recent Advancements in FOREX Currency Prediction. Algorithms. 13(8). 186–186. 27 indexed citations

16.

Hossain, Mohammad Shahadat, et al.. (2019). An Intelligent System to Diagnose Chikungunya under Uncertainty. KTH Publication Database DiVA (KTH Royal Institute of Technology). 11 indexed citations

17.

Hossain, Mohammad Shahadat, et al.. (2019). A Belief Rule Based Expert System to Assess Hypertension under Uncertainty. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 indexed citations

18.

Andersson, Karl, et al.. (2018). Estimation of Signal Coverage and Localization in Wi-Fi Networkswith AODV and OLSR. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

19.

Andersson, Karl, et al.. (2017). A Scalable and Secure MANET for an i-Voting System. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

20.

Islam, Raihan Ul, et al.. (2014). Secure and scalable multimedia sharing between smart homes. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 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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