Matthias Vallentin

17 total papers · 407 total citations
10 papers, 165 citations indexed

About

Matthias Vallentin is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Matthias Vallentin has authored 10 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 6 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Matthias Vallentin's work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Digital and Cyber Forensics (2 papers). Matthias Vallentin is often cited by papers focused on Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Digital and Cyber Forensics (2 papers). Matthias Vallentin collaborates with scholars based in United States, Germany and India. Matthias Vallentin's co-authors include Robin Sommer, Johanna Amann, Devdatta Akhawe, Vern Paxson, Kyle Palos, Lorenzo De Carli, Shaddi Hasan, Joyojeet Pal, Jay Chen and Saurabh Panjwani and has published in prestigious journals such as ACM SIGCOMM Computer Communication Review, Networked Systems Design and Implementation and eScholarship (California Digital Library).

In The Last Decade

Matthias Vallentin

10 papers receiving 163 citations

Author Peers

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

Author						Papers	Cites
Matthias Vallentin	104	80	71	47	21	10	165
Hossein Fereidooni	97 0.9×	101 1.3×	53 0.7×	99 2.1×	19 0.9×	13	212
Zulfikar Ramzan	68 0.7×	86 1.1×	56 0.8×	36 0.8×	13 0.6×	11	159
Luke Valenta	74 0.7×	78 1.0×	118 1.7×	49 1.0×	17 0.8×	11	179
Joe Hellerstein	159 1.5×	70 0.9×	52 0.7×	62 1.3×	12 0.6×	9	218
Katriel Cohn-Gordon	104 1.0×	89 1.1×	118 1.7×	13 0.3×	24 1.1×	8	182
Thyla van der Merwe	120 1.2×	98 1.2×	118 1.7×	21 0.4×	14 0.7×	9	186
Dina Hadžiosmanović	139 1.3×	49 0.6×	73 1.0×	80 1.7×	8 0.4×	8	214
Sari Sultan	142 1.4×	125 1.6×	93 1.3×	54 1.1×	5 0.2×	9	246
Nick Sullivan	93 0.9×	64 0.8×	147 2.1×	36 0.8×	35 1.7×	16	198
Eugene Bagdasaryan	73 0.7×	89 1.1×	166 2.3×	39 0.8×	13 0.6×	8	233

Countries citing papers authored by Matthias Vallentin

Since Specialization

Citations

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

Fields of papers citing papers by Matthias Vallentin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Vallentin

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Vallentin. A scholar is included among the top collaborators of Matthias Vallentin 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 Vallentin. Matthias Vallentin 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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