David Neumann

588 total citations
12 papers, 384 citations indexed

About

David Neumann is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, David Neumann has authored 12 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 3 papers in Signal Processing. Recurrent topics in David Neumann's work include Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Communication Techniques (6 papers) and Cooperative Communication and Network Coding (6 papers). David Neumann is often cited by papers focused on Advanced MIMO Systems Optimization (10 papers), Advanced Wireless Communication Techniques (6 papers) and Cooperative Communication and Network Coding (6 papers). David Neumann collaborates with scholars based in Germany. David Neumann's co-authors include Wolfgang Utschick, Thomas Wiese, Michael Joham, Christoph Hellings and Michael Köller and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Letters and mediaTUM (Technical University of Munich).

In The Last Decade

David Neumann

11 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Neumann Germany	7	329	133	103	75	47	12	384
Francisco Paisana Ireland	9	137 0.4×	148 1.1×	73 0.7×	127 1.7×	45 1.0×	17	285
Mostafa Mohammadkarimi Canada	7	210 0.6×	87 0.7×	87 0.8×	68 0.9×	39 0.8×	24	284
Xingjian Li China	7	375 1.1×	141 1.1×	69 0.7×	112 1.5×	36 0.8×	19	462
Ahmad Nimr Germany	10	252 0.8×	72 0.5×	58 0.6×	56 0.7×	40 0.9×	39	303
Aydin Behnad Canada	13	322 1.0×	268 2.0×	82 0.8×	51 0.7×	31 0.7×	33	402
Fengchao Zhu China	11	466 1.4×	217 1.6×	43 0.4×	104 1.4×	18 0.4×	28	498
Claudio R. C. M. da Silva United States	12	453 1.4×	211 1.6×	69 0.7×	130 1.7×	60 1.3×	22	573
Jean Conan Canada	9	297 0.9×	209 1.6×	126 1.2×	63 0.8×	42 0.9×	38	373
Aliakbar Tadaion Iran	13	253 0.8×	262 2.0×	98 1.0×	138 1.8×	81 1.7×	52	453
Tongyang Xu United Kingdom	17	865 2.6×	172 1.3×	75 0.7×	94 1.3×	21 0.4×	73	939

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Neumann, David, Michael Joham, & Wolfgang Utschick. (2018). Covariance Matrix Estimation in Massive MIMO. IEEE Signal Processing Letters. 25(6). 863–867. 79 indexed citations

2.

Neumann, David, Thomas Wiese, Michael Joham, & Wolfgang Utschick. (2018). A Bilinear Equalizer for Massive MIMO Systems. IEEE Transactions on Signal Processing. 66(14). 3740–3751. 14 indexed citations

3.

Köller, Michael, et al.. (2018). Machine Learning for Channel Estimation from Compressed Measurements. 1–5. 5 indexed citations

4.

Neumann, David, Thomas Wiese, & Wolfgang Utschick. (2018). Learning the MMSE Channel Estimator. IEEE Transactions on Signal Processing. 66(11). 2905–2917. 210 indexed citations

5.

Neumann, David, Thomas Wiese, & Wolfgang Utschick. (2017). Deep Channel Estimation. International ITG Workshop on Smart Antennas. 1–6. 6 indexed citations

6.

Neumann, David, et al.. (2017). Joint covariance matrix estimation and pilot allocation in massive MIMO systems. 1. 1–6. 3 indexed citations

7.

Joham, Michael, et al.. (2016). Pilot Coordination in CDI Precoded Massive MIMO Systems. mediaTUM (Technical University of Munich). 1–7. 1 indexed citations

8.

Neumann, David, et al.. (2015). Low-Complexity Computation of LMMSE Channel Estimates in Massive MIMO. International ITG Workshop on Smart Antennas. 1–6. 18 indexed citations

9.

Neumann, David, et al.. (2015). Rate-balancing in massive MIMO using statistical precoding. 226–230. 4 indexed citations

10.

Neumann, David, et al.. (2014). On the amount of training in coordinated massive MIMO systems. 293–296. 3 indexed citations

11.

Neumann, David, Michael Joham, & Wolfgang Utschick. (2014). Suppression of pilot-contamination in massive MIMO systems. 11–15. 23 indexed citations

12.

Neumann, David, et al.. (2014). Pilot Coordination for Large-Scale Multi-Cell TDD Systems. 1–6. 18 indexed citations

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.

Explore authors with similar magnitude of impact