David Neumann

588 citations
12 papers · 384 indexed · h-index 7
Topics
Advanced MIMO Systems Optimization (10 papers)Advanced Wireless Communication Techniques (6 papers)Cooperative Communication and Network Coding (6 papers)
Journals
IEEE Transactions on Signal ProcessingIEEE Signal Processing LettersmediaTUM (Technical University of Munich)
Partner nations
Germany

In The Last Decade

David Neumann

11 papers receiving 368 citations

Peers

David Neumann
Comparison fields: 5 of 27
  • Electrical and Electronic Engineering 329
  • Computer Networks and Communications 133
  • Artificial Intelligence 103
  • Aerospace Engineering 75
  • Signal Processing 47
Replace Ahmad Nimr with:
Ahmad Nimr Germany
Kechu Yi China
Claudio R. C. M. da Silva United States
Francisco Paisana Ireland
Mostafa Mohammadkarimi Canada
K. Haneda Finland
Aydin Behnad Canada
Xingjian Li China
Dian Fan China
Fengchao Zhu China
David Neumann relative to Ahmad Nimr Germany Ahmad Nimr's profile →
Citations per field
00.5×3.8×
Ahmad Nimr · 1×
Citations per year

Countries citing papers authored by David Neumann

Since Specialization
Citations

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

Fields of papers citing papers by David Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Neumann

This figure shows the co-authorship network connecting the top 25 collaborators of David Neumann. A scholar is included among the top collaborators of David Neumann 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 David Neumann. David Neumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 79
2 14
3 5
4 210
5
Deep Channel Estimation
6
6 3
7
Pilot Coordination in CDI Precoded Massive MIMO Systems
1
8
Low-Complexity Computation of LMMSE Channel Estimates in Massive MIMO
18
9 4
10 3
11 23
12
Pilot Coordination for Large-Scale Multi-Cell TDD Systems
18

About David Neumann

David Neumann is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Communication Techniques (6 papers) and Cooperative Communication and Network Coding (6 papers). The work is most often cited by research in Computer Networks and Communications (133 citations), Electrical and Electronic Engineering (329 citations) and Signal Processing (47 citations). David Neumann has collaborated with scholars based in Germany. Frequent co-authors include Wolfgang Utschick, Thomas Wiese, Michael Joham, Christoph Hellings and Michael Köller. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters and mediaTUM (Technical University of Munich).

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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