M.A. Wickert

431 citations
66 papers · 321 · h-index 11

Impact in

Papers in

M.A. Wickert

58 papers receiving 308 citations

Peers

M.A. Wickert
Comparison fields: 5 of 51
  • Signal Processing 93
  • Computer Networks and Communications 137
  • Electrical and Electronic Engineering 197
  • Architecture 4
  • Computational Mechanics 51
Replace Christo Kurisummoottil Thomas with:
Christo Kurisummoottil Thomas France
Changyong Pan China
Yves Louët France
Giridhar Mandyam United States
K. Azadet United States
Henrik Schulze Germany
Saeed Fouladi Fard Canada
Shiann‐Shiun Jeng Taiwan
L. Schuchman United States
K.L. Blackard United States
M.A. Wickert relative to Christo Kurisummoottil Thomas France Christo Kurisummoottil Thomas's profile →
Citations per field
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Christo Kurisummoottil Thomas · 1×
Citations per year

Countries citing papers authored by M.A. Wickert

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Wickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Wickert. 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 M.A. Wickert. The network helps show where M.A. Wickert may publish in the future.

Co-authors

The 11 scholars most cited alongside M.A. Wickert, 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 M.A. Wickert Line = papers co-authored together M.A. Wickert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200136
2 198822
3 199216
4 199515
5 201115
6 198914
7 199714
8 198913
9 201512
10 198611
11 200210
12 201510
13 20188
14 20157
15 20087
16 20136
17 20036
18 20026
19
Signals and systems for dummies
20135
20 20245

About M.A. Wickert

M.A. Wickert is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Computational Mechanics and Aerospace Engineering, having authored 66 papers that have together received 321 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (21 papers), Advanced Wireless Communication Techniques (19 papers), Advanced Adaptive Filtering Techniques (12 papers), Blind Source Separation Techniques (11 papers), Experimental Learning in Engineering (6 papers), PAPR reduction in OFDM (6 papers), Advanced Wireless Network Optimization (5 papers) and Power Line Communications and Noise (5 papers). The work is most often cited by research in Signal Processing (93 citations), Computer Networks and Communications (137 citations), Electrical and Electronic Engineering (197 citations), Architecture (4 citations) and Computational Mechanics (51 citations). M.A. Wickert has collaborated with scholars based in United States and Thailand. Frequent co-authors include David E. Reed, Mark Jones, R.E. Ziemer, Chris Anderson, Thanh Phung Truong, D. W. Peckham, Bryan Butler, John Mortensen, Gregory L. Plett and D.M. Ionescu. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications, IEEE Access, IEEE Transactions on Microwave Theory and Techniques and IEEE Transactions on Information Theory.

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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