A. Kavcic

4.1k citations
109 papers · 2.9k indexed · 2 hit papers · h-index 28

Impact in

Papers in

A. Kavcic

106 papers receiving 2.7k citations

Hit Papers

The Feasibility of Magnetic Recording at 10 Terabits Per Square Inch on Conventional Media 2009 · 377 citations
3772006202620122019100200300

Peers

A. Kavcic
Comparison fields: 5 of 69
  • Computer Networks and Communications 1.7k
  • Computational Theory and Mathematics 849
  • Electrical and Electronic Engineering 1.8k
  • Signal Processing 226
  • Artificial Intelligence 668
Replace Amos Lapidoth with:
Amos Lapidoth Switzerland
Young-Han Kim United States
J. Massey United States
W.E. Ryan United States
Jaekyun Moon United States
Soon Xin Ng United Kingdom
D.V. Sarwate United States
Paul H. Siegel United States
S. Sandeep Pradhan United States
Erik Agrell Sweden
A. Kavcic relative to Amos Lapidoth Switzerland Amos Lapidoth's profile →
Citations per field
00.5×1.5×2.3×
Amos Lapidoth · 1×
Citations per year

Countries citing papers authored by A. Kavcic

Since Specialization
Citations

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

Fields of papers citing papers by A. Kavcic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201512
2 201124
3 20082
4 20062
5 20058
6 20054
7 20041
8 20044
9 20043
10 20036
11 2003141
12 200331
13 20032
14 20031
15 20031
16 200314
17 200311
18 20022
19 20011
20 19952

About A. Kavcic

A. Kavcic is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Signal Processing, Electrical and Electronic Engineering and Artificial Intelligence, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Error Correcting Code Techniques (52 papers), Advanced Wireless Communication Techniques (51 papers), Cellular Automata and Applications (38 papers), Algorithms and Data Compression (19 papers), Wireless Communication Security Techniques (15 papers), Blind Source Separation Techniques (14 papers), DNA and Biological Computing (13 papers) and Coding theory and cryptography (13 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Computational Theory and Mathematics (849 citations), Electrical and Electronic Engineering (1.8k citations), Signal Processing (226 citations) and Artificial Intelligence (668 citations). A. Kavcic has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include José M. F. Moura, Hans‐Andrea Loeliger, Donald M. Arnold, Pascal O. Vontobel, J.J. Miles, Roger Wood, M. Williams, Wei Zeng, Xiao Ma and N. Varnica. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Magnetics, IEEE Journal on Selected Areas in Communications, IEEE Signal Processing Magazine and IEEE Transactions on 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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