Patrick Seeling

2.1k citations
138 papers · 1.4k indexed · h-index 17

Impact in

Papers in

Patrick Seeling

126 papers receiving 1.3k citations

Peers

Patrick Seeling
Comparison fields: 5 of 89
  • Signal Processing 320
  • Computer Networks and Communications 625
  • Computer Vision and Pattern Recognition 477
  • Computational Mathematics 7
  • Media Technology 96
Replace Lea Skorin‐Kapov with:
Lea Skorin‐Kapov Croatia
Kajal Claypool United States
Cristina Hava Muntean Ireland
Yuan‐Cheng Lai Taiwan
Xiaojun Hei China
Wim Lamotte Belgium
Hong Va Leong Hong Kong
Peter Quax Belgium
Tamara Denning United States
Leah H. Jamieson United States
Patrick Seeling relative to Lea Skorin‐Kapov Croatia Lea Skorin‐Kapov's profile →
Citations per field
00.5×1.7×
Lea Skorin‐Kapov · 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 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004227
2 2011169
3 200695
4 201441
5 201329
6 200627
7 201226
8 201224
9 200522
10 200522
11 202121
12 200521
13 200621
14 200517
15 200517
16 200517
17 201416
18 202016
19 201216
20 201016

About Patrick Seeling

Patrick Seeling is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 138 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (37 papers), Video Coding and Compression Technologies (23 papers), Green IT and Sustainability (23 papers), Caching and Content Delivery (19 papers), Opportunistic and Delay-Tolerant Networks (17 papers), Experimental Learning in Engineering (17 papers), Wireless Networks and Protocols (12 papers) and Advanced Wireless Network Optimization (11 papers). The work is most often cited by research in Signal Processing (320 citations), Computer Networks and Communications (625 citations), Computer Vision and Pattern Recognition (477 citations), Computational Mathematics (7 citations) and Media Technology (96 citations). Patrick Seeling has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Martin Reisslein, Frank H. P. Fitzek, Jana Reisslein, Robert K. Atkinson, Troy A. Johnson, Lina J. Karam, Péter Ekler, Jesse Eickholt, Troy Johnson and Martin Maier. Their work appears in journals such as IEEE Communications Magazine, IEEE Communications Surveys & Tutorials, IEEE Transactions on Broadcasting, IEEE Transactions on Education and Future Internet.

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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