Eitan Bachmat

1.3k citations
53 papers · 864 · h-index 14

Impact in

Papers in

Eitan Bachmat

50 papers receiving 808 citations

Peers

Eitan Bachmat
Comparison fields: 5 of 100
  • Transportation 113
  • General Economics, Econometrics and Finance 118
  • Health Informatics 17
  • Signal Processing 127
  • Computer Graphics and Computer-Aided Design 31
Replace Harpreet S. Dhillon with:
Harpreet S. Dhillon United States
Craig T. Lawrence United States
George P. Papavassilopoulos United States
Bartolomeo Stellato United States
Yonggang Lu China
S. Marrone Italy
Ya. Ζ. Tsypkin Russia
João L. D. Comba Brazil
Jordi Nin Spain
Eitan Bachmat relative to Harpreet S. Dhillon United States Harpreet S. Dhillon's profile →
Citations per field
00.5×10×15×19.7×
Harpreet S. Dhillon · 1×
Citations per year

Countries citing papers authored by Eitan Bachmat

Since Specialization
Citations

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

Fields of papers citing papers by Eitan Bachmat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007138
2 202079
3 202076
4 200974
5 200962
6 200246
7 202042
8 200636
9 200833
10 201322
11 202221
12 200918
13 200717
14 200217
15 200213
16 199913
17 201813
18
The information entropy of quantum mechanical states
200411
19 200311
20 200811

About Eitan Bachmat

Eitan Bachmat is a scholar working on Computer Networks and Communications, Management Information Systems, Statistics and Probability, General Economics, Econometrics and Finance and Electrical and Electronic Engineering, having authored 53 papers that have together received 864 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (10 papers), Random Matrices and Applications (9 papers), Advanced Data Storage Technologies (9 papers), Aviation Industry Analysis and Trends (7 papers), Distributed systems and fault tolerance (7 papers), Advanced Wireless Network Optimization (6 papers), Parallel Computing and Optimization Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Transportation (113 citations), General Economics, Econometrics and Finance (118 citations), Health Informatics (17 citations), Signal Processing (127 citations) and Computer Graphics and Computer-Aided Design (31 citations). Eitan Bachmat has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Barak Weiss, Boaz Rafaely, Jiří Schindler, Noam Barda, Steven Skiena, Noa Dagan, Ran D. Balicer, Daniel Berend, Michael Elkin and Jihad El‐Sana. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, ACM Transactions on Storage, Physical review. E, Journal of the American Medical Informatics Association and Performance Evaluation.

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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