Andreas Johnsson

564 total citations
53 papers, 330 citations indexed

About

Andreas Johnsson is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Andreas Johnsson has authored 53 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 24 papers in Artificial Intelligence and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Andreas Johnsson's work include Software System Performance and Reliability (14 papers), Network Traffic and Congestion Control (12 papers) and Data Stream Mining Techniques (11 papers). Andreas Johnsson is often cited by papers focused on Software System Performance and Reliability (14 papers), Network Traffic and Congestion Control (12 papers) and Data Stream Mining Techniques (11 papers). Andreas Johnsson collaborates with scholars based in Sweden, Brazil and Germany. Andreas Johnsson's co-authors include Farnaz Moradi, Rolf Stadler, Mats Björkman, Bob Melander, Cătălin Meiroşu, Martin Nilsson, Jan-Erik Mångs, Daniel Gillblad, Mats P. Björkman and Anders Lindvall and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Delivery and Die Naturwissenschaften.

In The Last Decade

Andreas Johnsson

46 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Johnsson Sweden	10	231	109	90	57	38	53	330
Christophe Chassot France	8	230 1.0×	64 0.6×	94 1.0×	65 1.1×	62 1.6×	45	298
Jian-Jhih Kuo Taiwan	11	247 1.1×	81 0.7×	114 1.3×	78 1.4×	36 0.9×	56	356
Divya Gupta India	9	190 0.8×	48 0.4×	91 1.0×	46 0.8×	23 0.6×	34	278
Jason But Australia	10	247 1.1×	76 0.7×	105 1.2×	60 1.1×	30 0.8×	48	317
Elena Meshkova Germany	8	279 1.2×	40 0.4×	105 1.2×	72 1.3×	40 1.1×	24	343
Anup Kumar United States	10	221 1.0×	65 0.6×	103 1.1×	57 1.0×	17 0.4×	40	294
Meina Song China	8	224 1.0×	63 0.6×	59 0.7×	152 2.7×	36 0.9×	40	310
Imane Aly Saroit Egypt	10	258 1.1×	77 0.7×	110 1.2×	96 1.7×	17 0.4×	35	334
Sabuzima Nayak India	10	158 0.7×	80 0.7×	72 0.8×	51 0.9×	30 0.8×	22	262
Gergely Ács Hungary	9	288 1.2×	142 1.3×	102 1.1×	27 0.5×	14 0.4×	20	419

Countries citing papers authored by Andreas Johnsson

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Johnsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Johnsson

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

All Works

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20 of 20 papers shown

Rohner, Christian, et al.. (2024). Impact of Attack Variations and Topology on IoT Intrusion Detection Model Generalizability. 364–370. 1 indexed citations

Moradi, Farnaz, et al.. (2024). On Multi-Objective Neural Architecture Search for Modeling Network Performance. 214–218.

Zavodovski, Aleksandr, et al.. (2024). Generalizable One-Way Delay Prediction Models for Heterogeneous UEs in 5G Networks. 1–9. 1 indexed citations

Johnsson, Andreas, et al.. (2024). Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. 1–7.

John, Wolfgang, Ali Balador, Andreas Johnsson, et al.. (2023). ANIARA Project - Automation of Network Edge Infrastructure and Applications with Artificial Intelligence. ACM SIGAda Ada Letters. 42(2). 92–95. 1 indexed citations

Tärneberg, William, et al.. (2022). Prediction and exposure of delays from a base station perspective in 5G and beyond networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 8–14. 4 indexed citations

Moradi, Farnaz, et al.. (2021). Towards Source Selection in Transfer Learning for Cloud Performance Prediction. Integrated Network Management. 599–603. 1 indexed citations

Tärneberg, William, Kjell Brunnström, Emma Fitzgerald, et al.. (2020). Towards Intelligent Industry 4.0 5G Networks: A First Throughput and QoE Measurement Campaign. Lund University Publications (Lund University). 1–6. 10 indexed citations

Proutière, Alexandre, et al.. (2020). Predictive Bandits. 10. 1170–1176. 1 indexed citations

10.

Moradi, Farnaz, Rolf Stadler, & Andreas Johnsson. (2019). Performance Prediction in Dynamic Clouds using Transfer Learning. Immunotechnology. 242–250. 15 indexed citations

11.

Johnsson, Andreas, et al.. (2019). Machine-Learning Based Active Measurement Proxy for IoT Systems. Immunotechnology. 198–206. 2 indexed citations

12.

İckin, Selim, et al.. (2019). On Network Performance Indicators for Network Promoter Score Estimation. 1–3. 1 indexed citations

13.

Johnsson, Andreas, et al.. (2017). Real-time resource prediction engine for cloud management. 877–878. 3 indexed citations

14.

Johnsson, Andreas, et al.. (2016). Predicting SLA conformance for cluster-based services using distributed analytics. 2. 848–852. 3 indexed citations

15.

Johnsson, Andreas & Cătălin Meiroşu. (2013). Towards automatic network fault localization in real time using probabilistic inference. Integrated Network Management. 1393–1398. 7 indexed citations

16.

Johnsson, Andreas & Mats Björkman. (2006). Measuring the Impact of Active Probing on TCP. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 2 indexed citations

17.

Johnsson, Andreas, Bob Melander, & Mats Björkman. (2004). On the Analysis of Packet-Train Probing Schemes. International Conference on Communications. 238–244. 2 indexed citations

18.

Johnsson, Andreas. (2003). On the Comparison of Packet Pair and Packet Train Measurements. 2 indexed citations

19.

Johnsson, Andreas. (2002). Differentiated security in wireless networks. KTH Publication Database DiVA (KTH Royal Institute of Technology).

20.

Johnsson, Andreas, et al.. (1997). Examination of ELCOM-90, TASE.1, and ICCP/TASE.2 for inter-control center communication. IEEE Transactions on Power Delivery. 12(2). 607–615. 10 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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