I. Bar-David

1.5k citations
57 papers · 1.1k · h-index 15

Impact in

Papers in

I. Bar-David

53 papers receiving 1.0k citations

Peers

I. Bar-David
Comparison fields: 5 of 80
  • Computer Networks and Communications 441
  • Electrical and Electronic Engineering 660
  • Instrumentation 37
  • Signal Processing 111
  • Computational Theory and Mathematics 82
Replace C.K. Rushforth with:
C.K. Rushforth United States
B. P. Lathi United States
Stephen Hammel United States
John M. Wozencraft United States
David Daniel United States
M. Golay Switzerland
Michel C. Jeruchim United States
R. Gagliardi United States
David Ramírez Spain
Mark R. Bell United States
I. Bar-David relative to C.K. Rushforth United States C.K. Rushforth's profile →
Citations per field
00.5×2×3×4×4.6×
C.K. Rushforth · 1×
Citations per year

Countries citing papers authored by I. Bar-David

Since Specialization
Citations

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

Fields of papers citing papers by I. Bar-David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Bar-David. 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 I. Bar-David. The network helps show where I. Bar-David may publish in the future.

Co-authors

The 22 scholars most cited alongside I. Bar-David, 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 I. Bar-David Line = papers co-authored together I. Bar-David links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989289
2 1995159
3 1969127
4 200978
5 198453
6 198835
7 197435
8 197624
9 199323
10 198922
11 197519
12 198818
13 199916
14 197216
15 198816
16 199012
17 198911
18 19759
19 20029
20 19919

About I. Bar-David

I. Bar-David is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (14 papers), Wireless Communication Networks Research (9 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Error Correcting Code Techniques (7 papers), Blind Source Separation Techniques (6 papers), Wireless Communication Security Techniques (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Quantum Information and Cryptography (4 papers). The work is most often cited by research in Computer Networks and Communications (441 citations), Electrical and Electronic Engineering (660 citations), Instrumentation (37 citations), Signal Processing (111 citations) and Computational Theory and Mathematics (82 citations). I. Bar-David has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Shlomo Shamai, G. Kaplan, Haviva M. Goldman, Wayne M. Getz, Paul C. Cross, Shirli Bar‐David, Sadie J. Ryan, R. Rom, A. M. Nemirovsky and Richard F. Lyon. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications, IEEE Communications Letters, Proceedings of the IEEE and Journal of Applied Probability.

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.

Explore authors with similar magnitude of impact