Patrick Seeling

2.1k citations
157 papers · 1.6k · h-index 18

Impact in

Papers in

Patrick Seeling

145 papers receiving 1.5k citations

Peers

Patrick Seeling
Comparison fields: 5 of 64
  • Computer Networks and Communications 677
  • Signal Processing 172
  • Computer Vision and Pattern Recognition 311
  • Computational Mathematics 7
  • Computer Science Applications 48
Replace Juan A. Nolazco‐Flores with:
Juan A. Nolazco‐Flores Mexico
Teddy Mantoro Indonesia
Cristina Hava Muntean Ireland
Chulhong Min South Korea
Akhil Mathur United Kingdom
Sebastian Egger Austria
Niranjan Balasubramanian United States
Sung-Ju Lee South Korea
Lihua Yue China
Leah H. Jamieson United States
Patrick Seeling relative to Juan A. Nolazco‐Flores Mexico Juan A. Nolazco‐Flores's profile →
Citations per field
00.5×2×3.3×
Juan A. Nolazco‐Flores · 1×
Citations per year

Countries citing papers authored by Patrick Seeling

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Seeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Seeling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Seeling Line = papers co-authored together Patrick Seeling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004240
2 2011172
3 2006111
4 201443
5 201332
6 200731
7 201229
8 201227
9 200526
10 202125
11 200522
12 200522
13 201422
14 200621
15 200520
16 201419
17 200518
18 200518
19 201218
20 202018

About Patrick Seeling

Patrick Seeling is a scholar working on Computer Networks and Communications, Signal Processing, Computer Vision and Pattern Recognition, Computer Science Applications and Electrical and Electronic Engineering, having authored 157 papers that have together received 1.6k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (40 papers), Image and Video Quality Assessment (23 papers), Video Coding and Compression Technologies (20 papers), Software-Defined Networks and 5G (12 papers), Caching and Content Delivery (10 papers), IoT and Edge/Fog Computing (8 papers), Innovative Teaching Methods (7 papers) and Advanced Optical Network Technologies (6 papers). The work is most often cited by research in Computer Networks and Communications (677 citations), Signal Processing (172 citations), Computer Vision and Pattern Recognition (311 citations), Computational Mathematics (7 citations) and Computer Science Applications (48 citations). Patrick Seeling has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Martin Reisslein B, Frank H. P. Fitzek, Jana Reisslein, Robert K. Atkinson, Troy A. Johnson, Lina J. Karam, Jesse Eickholt, Péter Ekler, Daniel E. Lucani and Michael Scheutzow. Their work appears in journals such as IEEE Communications Magazine, IEEE Communications Surveys & Tutorials, IEEE Access, IEEE Transactions on Education and IEEE Transactions on Broadcasting.

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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