H. Leib

2.0k citations
113 papers · 1.3k · h-index 15

Impact in

Papers in

H. Leib

99 papers receiving 1.2k citations

Peers

H. Leib
Comparison fields: 5 of 46
  • Computer Networks and Communications 1.0k
  • Computational Mathematics 24
  • Electrical and Electronic Engineering 1.2k
  • Signal Processing 111
  • Artificial Intelligence 141
Replace Luc Deneire with:
Luc Deneire France
Mehrzad Biguesh Iran
K. Giridhar India
E.G. Kanterakis United States
Michael J. Medley United States
G.D. Golden United States
Vincenzo Lottici Italy
Da-shan Shiu Taiwan
B. Muquet France
Maxime Guillaud France
H. Leib relative to Luc Deneire France Luc Deneire's profile →
Citations per field
00.5×1.5×2.4×
Luc Deneire · 1×
Citations per year

Countries citing papers authored by H. Leib

Since Specialization
Citations

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

Fields of papers citing papers by H. Leib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999167
2 1999150
3 2000124
4 1988118
5 200371
6 199767
7 199552
8 199444
9 200835
10 201329
11 199629
12 200224
13 199218
14 199817
15
Optimal noncoherent block demodulation of differential phase shift keying (DPSK)
199116
16 198714
17 202013
18 201613
19 200113
20 199312

About H. Leib

H. Leib is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Computational Mechanics, having authored 113 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (75 papers), Wireless Communication Networks Research (59 papers), Cooperative Communication and Network Coding (26 papers), Error Correcting Code Techniques (15 papers), Advanced MIMO Systems Optimization (14 papers), Coding theory and cryptography (13 papers), Wireless Communication Security Techniques (9 papers) and PAPR reduction in OFDM (9 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Computational Mathematics (24 citations), Electrical and Electronic Engineering (1.2k citations), Signal Processing (111 citations) and Artificial Intelligence (141 citations). H. Leib has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include E. Malkamaki, S. Pasupathy, Youngki Yoon, Steven D. Blostein, Raymond Knopp, Yi Wang, Feng‐Wen Sun, Marwan Hadri Azmi, P. Mermelstein and Subbarayan Pasupathy. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, IEEE Access and IEEE Journal on Selected Areas in 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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