D. Reininger

623 citations
27 papers · 304 · h-index 10

Impact in

Papers in

D. Reininger

25 papers receiving 267 citations

Peers

D. Reininger
Comparison fields: 5 of 25
  • Computer Networks and Communications 250
  • Signal Processing 83
  • Computer Vision and Pattern Recognition 96
  • Electrical and Electronic Engineering 105
  • Management Information Systems 11
Replace Ingo Busse with:
Ingo Busse Germany
Denis Collange France
Brigitte Kerhervé Canada
Bart De Vleeschauwer Belgium
Sebastian Kaune Germany
Boris Nechaev Finland
Marcel Dischinger Germany
Kostas Stamos Greece
R. Housley
William T. Polk United States
D. Reininger relative to Ingo Busse Germany Ingo Busse's profile →
Citations per field
00.5×2.8×
Ingo Busse · 1×
Citations per year

Countries citing papers authored by D. Reininger

Since Specialization
Citations

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

Fields of papers citing papers by D. Reininger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside D. Reininger, 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 D. Reininger Line = papers co-authored together D. Reininger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199648
2 199934
3 199826
4 200226
5 200226
6 199823
7 199417
8 200317
9 200215
10 200113
11 19959
12 19988
13 20027
14 19976
15 20026
16 19964
17 19944
18 20033
19 20063
20
Congestion pricing flow control for computer networks
19982

About D. Reininger

D. Reininger is a scholar working on Computer Networks and Communications, Sociology and Political Science, Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 27 papers that have together received 304 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (20 papers), Video Coding and Compression Technologies (8 papers), Multimedia Communication and Technology (8 papers), Advanced Wireless Network Optimization (6 papers), Peer-to-Peer Network Technologies (6 papers), Image and Video Quality Assessment (5 papers), Interconnection Networks and Systems (4 papers) and Wireless Communication Networks Research (4 papers). The work is most often cited by research in Computer Networks and Communications (250 citations), Signal Processing (83 citations), Computer Vision and Pattern Recognition (96 citations), Electrical and Electronic Engineering (105 citations) and Management Information Systems (11 citations). D. Reininger has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Dipankar Raychaudhuri, Maximilian Ott, J.Y. Hui, Rauf Izmailov, Aloke Guha, Douglas S. Reeves, Bala Rajagopalan, B. Sengupta, Benjamin Melamed and G. Ramamurthy. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Multimedia Systems, Annals of Biomedical Engineering, IEEE Network and Computer Communications.

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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