Matthias Handy

16 total papers · 1.3k total citations
8 papers, 918 citations indexed

About

Matthias Handy is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Matthias Handy has authored 8 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Matthias Handy's work include Energy Efficient Wireless Sensor Networks (6 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Bluetooth and Wireless Communication Technologies (3 papers). Matthias Handy is often cited by papers focused on Energy Efficient Wireless Sensor Networks (6 papers), Opportunistic and Delay-Tolerant Networks (3 papers) and Bluetooth and Wireless Communication Technologies (3 papers). Matthias Handy collaborates with scholars based in Germany. Matthias Handy's co-authors include Marc Haase, Dirk Timmermann, J. Blumenthal, Frank Golatowski, D. Timmerman, Carsten Magerkurth, Jörg Hähner, Vlad C. Coroamă, Jürgen Müller and Tobias Zimmer and has published in prestigious journals such as Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Matthias Handy

8 papers receiving 810 citations

Hit Papers

Low energy adaptive clust... 2003 2026 2010 2018 2003 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthias Handy 882 496 67 47 47 8 918
Marc Haase 864 1.0× 495 1.0× 66 1.0× 37 0.8× 47 1.0× 4 894
Xuxun Liu 958 1.1× 644 1.3× 71 1.1× 29 0.6× 71 1.5× 8 1.0k
Tifenn Rault 617 0.7× 495 1.0× 42 0.6× 84 1.8× 83 1.8× 8 810
Elena Fasolo 761 0.9× 475 1.0× 41 0.6× 46 1.0× 30 0.6× 13 802
C. Srisathapornphat 876 1.0× 313 0.6× 52 0.8× 129 2.7× 37 0.8× 17 922
Trupti Mayee Behera 738 0.8× 486 1.0× 90 1.3× 21 0.4× 76 1.6× 14 817
Shashidhar Gandham 1.0k 1.2× 471 0.9× 21 0.3× 38 0.8× 31 0.7× 12 1.1k
G. Cao 927 1.1× 576 1.2× 28 0.4× 64 1.4× 58 1.2× 9 1.2k
Alan Broad 662 0.8× 350 0.7× 62 0.9× 101 2.1× 53 1.1× 7 885
Di Tian 1.1k 1.3× 764 1.5× 49 0.7× 82 1.7× 34 0.7× 17 1.2k

Countries citing papers authored by Matthias Handy

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Handy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Handy

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

All Works

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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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