M.P. Fitz

3.8k citations
121 papers · 2.7k · h-index 28

Impact in

Papers in

M.P. Fitz

114 papers receiving 2.5k citations

Peers

M.P. Fitz
Comparison fields: 5 of 51
  • Computer Networks and Communications 2.0k
  • Electrical and Electronic Engineering 2.5k
  • Signal Processing 265
  • Artificial Intelligence 578
  • Computational Mechanics 170
Replace Zhi-Quan Luo with:
Zhi-Quan Luo United States
Allen Micheal Wright United Kingdom
Mahesh K. Varanasi United States
Michele Morelli Italy
A. Tarighat United States
B.D. Woerner United States
M.A. Lagunas Spain
Christian B. Schlegel Canada
Nevio Benvenuto Italy
Desmond P. Taylor New Zealand
M.P. Fitz relative to Zhi-Quan Luo United States Zhi-Quan Luo's profile →
Citations per field
00.5×1.5×1.9×
Zhi-Quan Luo · 1×
Citations per year

Countries citing papers authored by M.P. Fitz

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Fitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.P. Fitz, 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.P. Fitz Line = papers co-authored together M.P. Fitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999493
2 1994171
3 2002137
4 200185
5 200383
6 200279
7 199976
8 200273
9 200370
10 200069
11 200263
12 199760
13 200256
14 200355
15 200347
16 200346
17 200345
18 199743
19 199742
20 200441

About M.P. Fitz

M.P. Fitz is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence and Aerospace Engineering, having authored 121 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (100 papers), Wireless Communication Networks Research (73 papers), Error Correcting Code Techniques (20 papers), Coding theory and cryptography (19 papers), Cooperative Communication and Network Coding (18 papers), Advanced MIMO Systems Optimization (18 papers), Blind Source Separation Techniques (14 papers) and PAPR reduction in OFDM (13 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Electrical and Electronic Engineering (2.5k citations), Signal Processing (265 citations), Artificial Intelligence (578 citations) and Computational Mechanics (170 citations). M.P. Fitz has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Wen-Yi Kuo, Mark R. Bell, Jiann‐Ching Guey, Siwaruk Siwamogsatham, O.Y. Takeshita, Youjian Liu, Saul B. Gelfand, Jimm Grimm, Xiaoxia Zhang and James V. Krogmeier. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Signal Processing.

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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