Guido Dartmann

875 total citations
81 papers, 533 citations indexed

About

Guido Dartmann is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Guido Dartmann has authored 81 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 37 papers in Computer Networks and Communications and 21 papers in Artificial Intelligence. Recurrent topics in Guido Dartmann's work include Advanced MIMO Systems Optimization (27 papers), Cooperative Communication and Network Coding (20 papers) and Wireless Communication Security Techniques (14 papers). Guido Dartmann is often cited by papers focused on Advanced MIMO Systems Optimization (27 papers), Cooperative Communication and Network Coding (20 papers) and Wireless Communication Security Techniques (14 papers). Guido Dartmann collaborates with scholars based in Germany, Türkiye and United States. Guido Dartmann's co-authors include Gerd Ascheid, Xitao Gong, Anke Schmeink, Houbing Song, Güneş Karabulut Kurt, Lukas Märtin, Arne Peine, Ahmed Hallawa, Gernot Marx and Christoph Thiemermann and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Guido Dartmann

77 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Dartmann Germany 11 267 219 136 45 35 81 533
Saifur Rahman Australia 10 182 0.7× 89 0.4× 78 0.6× 29 0.6× 14 0.4× 37 453
Ning Yang China 11 305 1.1× 201 0.9× 80 0.6× 74 1.6× 31 0.9× 42 474
Haitham S. Hamza Egypt 13 431 1.6× 450 2.1× 104 0.8× 35 0.8× 163 4.7× 107 871
Priyadip Ray India 13 243 0.9× 131 0.6× 223 1.6× 219 4.9× 19 0.5× 55 815
Muntadher Alsabah Iraq 11 311 1.2× 108 0.5× 74 0.5× 91 2.0× 18 0.5× 26 590
Claude Thibeault Canada 16 810 3.0× 495 2.3× 198 1.5× 46 1.0× 9 0.3× 126 1.2k
Jihong Yu China 18 566 2.1× 346 1.6× 77 0.6× 150 3.3× 65 1.9× 83 858
Zoran Kostić United States 14 494 1.9× 430 2.0× 68 0.5× 98 2.2× 16 0.5× 63 730
Daniel L. Guidoni Brazil 18 452 1.7× 553 2.5× 67 0.5× 82 1.8× 28 0.8× 94 969

Countries citing papers authored by Guido Dartmann

Since Specialization
Citations

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

Fields of papers citing papers by Guido Dartmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Dartmann

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Dartmann. A scholar is included among the top collaborators of Guido Dartmann 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 Guido Dartmann. Guido Dartmann 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.
Dartmann, Guido, et al.. (2024). Smart Summary: A Distributed Medical Recommender System for Patients in the ICU Using Neural Networks. IEEE Access. 12. 83719–83732. 1 indexed citations
2.
Katić, Darko, Ralph Bergmann, Simon Bergweiler, et al.. (2024). EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing. KI - Künstliche Intelligenz. 39(2). 161–166. 2 indexed citations
3.
Naumann, Stefan, et al.. (2024). Spatial impulse response analysis and ensemble learning for efficient precision level sensing. SHILAP Revista de lepidopterología. 4(1).
4.
Malburg, Lukas, Florian Schäfer, Jens Schneider, et al.. (2023). A framework for AI-based self-adaptive cyber-physical process systems. it - Information Technology. 65(3). 113–128. 2 indexed citations
5.
6.
Hallawa, Ahmed, Arne Peine, Lukas Märtin, et al.. (2022). Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study. JMIR Medical Informatics. 10(8). e37658–e37658. 6 indexed citations
7.
Schmeink, Anke, et al.. (2021). Consensus Analysis of Wireless Multi-Agent Systems Over Fading Channels. IEEE Wireless Communications Letters. 10(7). 1528–1531. 4 indexed citations
8.
Peine, Arne, Ahmed Hallawa, Johannes Bickenbach, et al.. (2021). Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. npj Digital Medicine. 4(1). 32–32. 70 indexed citations
9.
Pusane, Alí Emre, et al.. (2020). A Garden of Cyber Physical Systems: Requirements, Challenges, and Implementation Aspects. IEEE Internet of Things Magazine. 3(3). 84–89. 9 indexed citations
10.
Dartmann, Guido, et al.. (2019). Physical Layer Spoofing Against Eavesdropping Attacks. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–5. 2 indexed citations
11.
Schmeink, Anke, et al.. (2019). Design and Implementation of a Hybrid Anomaly Detection System for IoT. 1–6. 14 indexed citations
12.
Kurt, Güneş Karabulut, et al.. (2018). The Safety Analysis: Disagreement of Wireless Communication-Based Consensus. IEEE Wireless Communications Letters. 7(6). 998–1001. 2 indexed citations
13.
Zechendorf, Elisabeth, Ahmed Hallawa, Antons Martincuks, et al.. (2018). Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning. Frontiers in Immunology. 9. 393–393. 8 indexed citations
14.
Dartmann, Guido, et al.. (2017). A Joint Optimization Scheme for Artificial Noise and Transmit Filter for Half and Full Duplex Wireless Cyber Physical Systems. IEEE Transactions on Sustainable Computing. 3(2). 126–136. 5 indexed citations
15.
Dartmann, Guido, et al.. (2017). Utility Privacy Trade-Off for Noisy Channels in OFDM Systems. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 1–5. 1 indexed citations
16.
Kurt, Güneş Karabulut, et al.. (2017). Impact of the communication channel on information theoretical privacy. Istanbul Technical University Academic Open Archive (Istanbul Technical University). 2870–2874. 1 indexed citations
17.
Li, Huijun, et al.. (2015). Channel Correlation Map based Indoor-to-outdoor Artificial Noise Design and Secrecy Analysis. PolyPublie (École Polytechnique de Montréal). 1–5. 3 indexed citations
18.
Dartmann, Guido, et al.. (2015). A Novel Low-Complexity Numerical Localization Method for Dynamic Wireless Sensor Networks. IEEE Transactions on Signal Processing. 63(15). 4102–4114. 20 indexed citations
19.
Dartmann, Guido, et al.. (2014). Beamforming Aided Interference Management for Improved Secrecy in Multicell Environments. PolyPublie (École Polytechnique de Montréal). 1–6. 1 indexed citations
20.
Dartmann, Guido, Xitao Gong, & Gerd Ascheid. (2011). Low Complexity Cooperative Multicast Beamforming in Multiuser Multicell Downlink Networks. 6 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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