Frank Lehrieder

555 total citations
30 papers, 331 citations indexed

About

Frank Lehrieder is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Frank Lehrieder has authored 30 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Frank Lehrieder's work include Caching and Content Delivery (17 papers), Peer-to-Peer Network Technologies (16 papers) and Network Traffic and Congestion Control (13 papers). Frank Lehrieder is often cited by papers focused on Caching and Content Delivery (17 papers), Peer-to-Peer Network Technologies (16 papers) and Network Traffic and Congestion Control (13 papers). Frank Lehrieder collaborates with scholars based in Germany, Sweden and Switzerland. Frank Lehrieder's co-authors include Tobias Hoßfeld, Simon Oechsner, Michael Menth, Michael Jarschel, Rastin Pries, György Dán, Christian Schwartz, Wolfgang Kellerer, Zoran Despotovic and Phuoc Tran‐Gia and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE/ACM Transactions on Networking and Computer Networks.

In The Last Decade

Frank Lehrieder

28 papers receiving 321 citations

Peers

Frank Lehrieder
Comparison fields: 5 of 33
  • Computer Networks and Communications 306
  • Electrical and Electronic Engineering 68
  • Artificial Intelligence 66
  • Computer Vision and Pattern Recognition 40
  • Information Systems 28
Replace Sachin Agarwal with:
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Boris Nechaev Finland
Ao-Jan Su United States
Rául Landa United Kingdom
Martin Stiemerling Germany
Eric Pouyoul United States
Llorenç Cerdà‐Alabern Spain
Ionut Trestian United States
Sebastian Kaune Germany
Sachin Agarwal Germany View profile →
Citations per field, relative to Frank Lehrieder
Frank Lehrieder · 1×
Citations per year, relative to Frank Lehrieder
Frank Lehrieder · 1×

Countries citing papers authored by Frank Lehrieder

Since Specialization
Citations

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

Fields of papers citing papers by Frank Lehrieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Lehrieder

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Lehrieder. A scholar is included among the top collaborators of Frank Lehrieder 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 Frank Lehrieder. Frank Lehrieder 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
# Work Indexed citations
1 15
2 8
3 1
4 2
5 5
6 0
7
Comparison of Marking Algorithms for PCN-Based Admission Control
0
8 1
9 1
10 19
11 9
12 14
13 11
14 18
15 3
16 17
17 7
18 19
19 14
20
Edge-Assisted Marked Flow Termination
2

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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