J. Lassing

596 citations
9 papers · 233 indexed · h-index 5

Impact in

Papers in

Journals
IEEE Transactions on Information Theory (2 papers)Electronics Letters (1 paper)IEEE Transactions on Communications (1 paper)Chalmers Publication Library (Chalmers University of Technology) (1 paper)Chalmers Research (Chalmers University of Technology) (3 papers)
Partner nations
Sweden

In The Last Decade

J. Lassing

8 papers receiving 220 citations

Peers

J. Lassing
Comparison fields: 5 of 17
  • Computer Networks and Communications 147
  • Electrical and Electronic Engineering 217
  • Artificial Intelligence 45
  • Computational Theory and Mathematics 14
  • Signal Processing 8
Replace Qiuliang Xie with:
Qiuliang Xie China
Massimo Rovini Italy
YouZhe Fan Hong Kong
A.S. Barbulescu Australia
Amin Mobasher Canada
J. Campello United States
Ok-Sun Park South Korea
Raphaël Le Bidan France
K.Y. Wu Hong Kong
Stéphane Y. Le Goff United Kingdom
J. Lassing relative to Qiuliang Xie China Qiuliang Xie's profile →
Citations per field
00.5×1.5×1.8×
Qiuliang Xie · 1×
Citations per year

Countries citing papers authored by J. Lassing

Since Specialization
Citations

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

Fields of papers citing papers by J. Lassing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside J. Lassing, 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 J. Lassing Line = papers co-authored together J. Lassing links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200496
2 200371
3 200745
4 200310
5 20024
6 20034
7 20042
8
Optimality of the binary reflected Gray code for the Gaussian channel
20051
9 20050

About J. Lassing

J. Lassing is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Infectious Diseases, having authored 9 papers that have together received 233 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (8 papers), graph theory and CDMA systems (8 papers), Error Correcting Code Techniques (3 papers), Coding theory and cryptography (3 papers), Wireless Communication Networks Research (2 papers), Optical Network Technologies (1 paper), Cellular Automata and Applications (1 paper) and Cryptographic Implementations and Security (1 paper). The work is most often cited by research in Computer Networks and Communications (147 citations), Electrical and Electronic Engineering (217 citations), Artificial Intelligence (45 citations), Computational Theory and Mathematics (14 citations) and Signal Processing (8 citations). J. Lassing has collaborated with scholars based in Sweden. Frequent co-authors include T. Ottosson, Erik Agrell and Erik G. Ström. Their work appears in journals such as IEEE Transactions on Information Theory, Electronics Letters, IEEE Transactions on Communications, Chalmers Publication Library (Chalmers University of Technology) and Chalmers Research (Chalmers University of Technology).

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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