Liran Katzir

1.4k citations
36 papers · 837 indexed · h-index 15

Liran Katzir

34 papers receiving 801 citations

Peers

Liran Katzir
Comparison fields: 5 of 80
  • Computer Networks and Communications 357
  • Statistical and Nonlinear Physics 155
  • Signal Processing 83
  • Artificial Intelligence 213
  • Information Systems 146
Replace Mahantesh Halappanavar with:
Mahantesh Halappanavar United States
MohammadTaghi Hajiaghayi United States
Donghyun Kim United States
Anna Moss Israel
Mohammad Abdollahi Azgomi Iran
T-H. Hubert Chan Hong Kong
Kamran Zamanifar Iran
Harald Räcke United States
Lei Wu China
Hamamache Kheddouci France
Liran Katzir relative to Mahantesh Halappanavar United States Mahantesh Halappanavar's profile →
Citations per field
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Mahantesh Halappanavar · 1×
Citations per year

Countries citing papers authored by Liran Katzir

Since Specialization
Citations

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

Fields of papers citing papers by Liran Katzir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20240
3 202118
4
Net-DNF: Effective Deep Modeling of Tabular Data
202130
5 20166
6 201520
7 20146
8 201484
9 20141
10 201413
11 201319
12 201217
13 20122
14 201180
15 201019
16 200913
17 200910
18 200826
19 200812
20 20079

About Liran Katzir

Liran Katzir is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 36 papers that have together received 837 indexed citations. Recurring topics across this work include Advanced Wireless Network Optimization (8 papers), Advanced DC-DC Converters (6 papers), Complex Network Analysis Techniques (6 papers), Microgrid Control and Optimization (4 papers), Wireless Communication Networks Research (4 papers), Optimization and Search Problems (4 papers), Data Management and Algorithms (3 papers) and Multilevel Inverters and Converters (3 papers). The work is most often cited by research in Computer Networks and Communications (357 citations), Statistical and Nonlinear Physics (155 citations) and Signal Processing (83 citations). Liran Katzir has collaborated with scholars based in Israel, United States and Estonia. Frequent co-authors include Reuven Cohen, Danny Raz, Edo Liberty, Oren Somekh, Doron Shmilovitz, Yoram Bachrach, Ran Gilad-Bachrach, Noam Koenigstein, Ulrich Paquet and Guy Grebla. Their work appears in journals such as Gastrointestinal Endoscopy, IEEE/ACM Transactions on Networking and Energies.

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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