Andreas Merentitis

1.3k total citations · 1 hit paper
32 papers, 981 citations indexed

About

Andreas Merentitis is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Merentitis has authored 32 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Merentitis's work include IoT and Edge/Fog Computing (7 papers), VLSI and Analog Circuit Testing (6 papers) and Remote-Sensing Image Classification (5 papers). Andreas Merentitis is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), VLSI and Analog Circuit Testing (6 papers) and Remote-Sensing Image Classification (5 papers). Andreas Merentitis collaborates with scholars based in Greece, Germany and Belgium. Andreas Merentitis's co-authors include Christian Debes, Nikolaos Frangiadakis, Roel Heremans, Maria E. Niessen, Sergey Sukhanov, Jürgen Hahn, Alexander Bauer, Tim van Kasteren, Wenzhi Liao and Rik Bellens and has published in prestigious journals such as IEEE Signal Processing Magazine, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Andreas Merentitis

32 papers receiving 932 citations

Hit Papers

Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Merentitis Greece 11 462 304 209 163 155 32 981
Tim van Kasteren Netherlands 8 412 0.9× 813 2.7× 184 0.9× 212 1.3× 298 1.9× 9 1.3k
Xiaoyan Luo China 16 341 0.7× 325 1.1× 122 0.6× 94 0.6× 147 0.9× 90 808
Wenrui Ding China 16 444 1.0× 600 2.0× 36 0.2× 97 0.6× 299 1.9× 87 1.2k
Jiangbin Zheng China 11 249 0.5× 234 0.8× 138 0.7× 33 0.2× 172 1.1× 24 743
Nikolaos Frangiadakis United States 8 424 0.9× 264 0.9× 191 0.9× 103 0.6× 117 0.8× 22 794
Yufeng Wang China 15 132 0.3× 299 1.0× 29 0.1× 137 0.8× 164 1.1× 101 874
Lijun Chen China 19 395 0.9× 106 0.3× 42 0.2× 589 3.6× 179 1.2× 78 1.1k
Youqiang Zhang China 15 300 0.6× 205 0.7× 172 0.8× 145 0.9× 148 1.0× 44 691
Ning Ma China 12 149 0.3× 93 0.3× 84 0.4× 56 0.3× 131 0.8× 67 479

Countries citing papers authored by Andreas Merentitis

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Merentitis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Merentitis

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Merentitis. A scholar is included among the top collaborators of Andreas Merentitis 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 Merentitis. Andreas Merentitis 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.
Sukhanov, Sergey, Andreas Merentitis, Christian Debes, Jürgen Hahn, & Abdelhak M. Zoubir. (2018). Combining SVMS for Classification on Class Imbalanced Data. 90–94. 2 indexed citations
2.
Debes, Christian, Andreas Merentitis, Sergey Sukhanov, et al.. (2016). Monitoring Activities of Daily Living in Smart Homes: Understanding human behavior. IEEE Signal Processing Magazine. 33(2). 81–94. 210 indexed citations
3.
Merentitis, Andreas & Christian Debes. (2015). Automatic fusion and classification using random forests and features extracted with deep learning. 2943–2946. 12 indexed citations
4.
Gazis, Vangelis, et al.. (2014). On the Role of Semantic Descriptions for Adaptable Protocol Stacks in the Internet of Things. 5. 437–443. 3 indexed citations
5.
Merentitis, Andreas, Christian Debes, Roel Heremans, & Nikolaos Frangiadakis. (2014). Automatic fusion and classification of hyperspectral and LiDAR data using random forests. 1245–1248. 18 indexed citations
6.
Merentitis, Andreas, Christian Debes, & Roel Heremans. (2014). Ensemble Learning in Hyperspectral Image Classification: Toward Selecting a Favorable Bias-Variance Tradeoff. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(4). 1089–1102. 47 indexed citations
7.
Merentitis, Andreas, et al.. (2014). Virtualization as a Driver for the Evolution of the Internet of Things: Remaining Challenges and Opportunities Towards Smart Cities. 7. 86–96. 1 indexed citations
8.
Merentitis, Andreas, et al.. (2013). WSN Trends: Sensor Infrastructure Virtualization as a Driver Towards the Evolution of the Internet of Things. 113–118. 13 indexed citations
9.
Niessen, Maria E., T.L.M. van Kasteren, & Andreas Merentitis. (2013). Hierarchical modeling using automated sub-clustering for sound event recognition. 1–4. 20 indexed citations
10.
Merentitis, Andreas, et al.. (2013). Network Virtualisation Trends: Virtually Anything Is Possible by Connecting the Unconnected. 1–7. 10 indexed citations
11.
Gazis, Vangelis, et al.. (2013). Architectural Blueprints of a Unified Sensing Platform for the Internet of Things. 1–5. 9 indexed citations
12.
Chatzikokolakis, Konstantinos, et al.. (2012). Fair Power Control in Cooperative Systems Based on Evolutionary Techniques. 111–116. 2 indexed citations
13.
Alonistioti, Nancy, Andreas Merentitis, Egon Schulz, et al.. (2010). Towards self-adaptable, scalable, dependable and energy efficient networks: the self-growing concept. Ghent University Academic Bibliography (Ghent University). 324–327. 4 indexed citations
14.
Alonistioti, Nancy, Egon Schulz, Andreas Merentitis, et al.. (2010). Cooperative and Self-Growing Energy-Aware Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–2. 1 indexed citations
15.
Merentitis, Andreas & Dionysia Triantafyllopoulou. (2010). Transmission power regulation in cooperative Cognitive Radio systems under uncertainties. View. 78. 134–139. 2 indexed citations
16.
Merentitis, Andreas & Dionysia Triantafyllopoulou. (2010). Resource Allocation with MAC Layer Node Cooperation in Cognitive Radio Networks. International Journal of Digital Multimedia Broadcasting. 2010. 1–11. 2 indexed citations
17.
Kranitis, N., Andreas Merentitis, George Theodorou, A. Paschalis, & Dimitris Gizopoulos. (2008). Hybrid-SBST Methodology for Efficient Testing of Processor Cores. IEEE Design & Test of Computers. 25(1). 64–75. 51 indexed citations
18.
Merentitis, Andreas, et al.. (2008). Directed Random SBST Generation for On-Line Testing of Pipelined Processors. 273–279. 8 indexed citations
19.
Merentitis, Andreas, N. Kranitis, A. Paschalis, & Dimitris Gizopoulos. (2007). Selecting Power-Optimal SBST Routines for On-Line Processor Testing. 31. 111–116. 3 indexed citations
20.
Kranitis, N., Andreas Merentitis, Nikolaos Laoutaris, et al.. (2006). Optimal Periodic Testing of Intermittent Faults In Embedded Pipelined Processor Applications. 1–6. 22 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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