Eitan Bachmat

1.3k total citations
53 papers, 852 citations indexed

About

Eitan Bachmat is a scholar working on Computer Networks and Communications, Statistics and Probability and Management Information Systems. According to data from OpenAlex, Eitan Bachmat has authored 53 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 11 papers in Statistics and Probability and 10 papers in Management Information Systems. Recurrent topics in Eitan Bachmat's work include Advanced Queuing Theory Analysis (10 papers), Random Matrices and Applications (9 papers) and Advanced Data Storage Technologies (9 papers). Eitan Bachmat is often cited by papers focused on Advanced Queuing Theory Analysis (10 papers), Random Matrices and Applications (9 papers) and Advanced Data Storage Technologies (9 papers). Eitan Bachmat collaborates with scholars based in Israel, United States and Spain. Eitan Bachmat's co-authors include Boaz Rafaely, Barak Weiss, Jiří Schindler, Daniel Berend, Steven Skiena, Noam Barda, Ran D. Balicer, Noa Dagan, Michael Elkin and Jihad El‐Sana and has published in prestigious journals such as Nature Medicine, Nature Communications and PEDIATRICS.

In The Last Decade

Eitan Bachmat

50 papers receiving 797 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eitan Bachmat Israel 14 202 127 118 113 111 53 852
Mark Briers United Kingdom 14 140 0.7× 50 0.4× 5 0.0× 14 0.1× 14 0.1× 27 873
Yi Mao China 14 99 0.5× 64 0.5× 3 0.0× 21 0.2× 28 0.3× 63 960
Harpreet S. Dhillon United States 34 2.9k 14.5× 78 0.6× 6 0.1× 88 0.8× 187 1.7× 203 5.2k
Manoj Gupta India 17 308 1.5× 42 0.3× 83 0.7× 1 0.0× 133 1.2× 60 1.4k
Ya. Ζ. Tsypkin Russia 9 61 0.3× 16 0.1× 9 0.1× 8 0.1× 55 0.5× 42 957
Patricia Fernández Spain 21 414 2.0× 186 1.5× 1 0.0× 18 0.2× 103 0.9× 149 1.9k
Ricardo Paulino Marques Brazil 9 387 1.9× 12 0.1× 37 0.3× 3 0.0× 26 0.2× 26 1.5k
Gong Chen China 13 88 0.4× 98 0.8× 2 0.0× 4 0.0× 46 0.4× 59 749
Jun’ichi Takeuchi Japan 13 430 2.1× 386 3.0× 1 0.0× 51 0.5× 79 0.7× 65 1.3k
H. H. Aly United States 16 77 0.4× 137 1.1× 141 1.2× 61 0.5× 61 748

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-authorship network of co-authors of Eitan Bachmat

This figure shows the co-authorship network connecting the top 25 collaborators of Eitan Bachmat. A scholar is included among the top collaborators of Eitan Bachmat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eitan Bachmat. Eitan Bachmat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barda, Noam, Noa Dagan, Amos Stemmer, et al.. (2022). Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs. Journal of Digital Imaging. 35(4). 962–969. 4 indexed citations
2.
Bachmat, Eitan, et al.. (2022). Let the fast passengers wait: Boarding an airplane takes shorter time when passengers with the most bin luggage enter first. European Journal of Operational Research. 317(3). 748–761.
3.
Kaupužs, J., et al.. (2021). Lorentzian geometry and variability reduction in airplane boarding: Slow passengers first outperforms random boarding. Physical review. E. 103(6). 62310–62310. 2 indexed citations
4.
Bachmat, Eitan, et al.. (2021). Air Passenger Preferences: An International Comparison Affects Boarding Theory. Operations Research. 71(3). 798–820. 4 indexed citations
5.
Barda, Noam, Gal Yona, Guy N. Rothblum, et al.. (2020). Addressing bias in prediction models by improving subpopulation calibration. Journal of the American Medical Informatics Association. 28(3). 549–558. 40 indexed citations
6.
Dagan, Noa, Eldad Elnekave, Noam Barda, et al.. (2020). Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization. Nature Medicine. 26(1). 77–82. 74 indexed citations
7.
Barda, Noam, Dan Riesel, Joseph Levy, et al.. (2020). Developing a COVID-19 mortality risk prediction model when individual-level data are not available. Nature Communications. 11(1). 4439–4439. 77 indexed citations
8.
Cohen, Raphael, et al.. (2020). Cross-lingual Unified Medical Language System entity linking in online health communities. Journal of the American Medical Informatics Association. 27(10). 1585–1592. 10 indexed citations
9.
Kaupužs, J., et al.. (2019). Lorentzian-geometry-based analysis of airplane boarding policies highlights “slow passengers first” as better. Physical review. E. 100(6). 62313–62313. 10 indexed citations
10.
Dagan, Noa, Chandra J. Cohen-Stavi, Meytal Avgil Tsadok, et al.. (2019). Translating clinical trial results into personalized recommendations by considering multiple outcomes and subjective views. npj Digital Medicine. 2(1). 81–81. 4 indexed citations
11.
Bachmat, Eitan. (2014). Mathematical Adventures in Performance Analysis: From Storage Systems, Through Airplane Boarding, to Express Line Queues. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
12.
Zakov, Shay, et al.. (2013). Unrooted unordered homeomorphic subtree alignment of RNA trees. Algorithms for Molecular Biology. 8(1). 13–13. 4 indexed citations
13.
Bachmat, Eitan, et al.. (2013). Optimal back-to-front airplane boarding. Physical Review E. 87(6). 62805–62805. 22 indexed citations
14.
Bachmat, Eitan, et al.. (2013). Dynamic Synchronous/Asynchronous Replication. ACM Transactions on Storage. 9(3). 1–19. 3 indexed citations
15.
Bachmat, Eitan & Michael Elkin. (2008). Bounds on the performance of back-to-front airplane boarding policies. Operations Research Letters. 36(5). 597–601. 33 indexed citations
16.
Bachmat, Eitan, et al.. (2007). Optimal boarding policies for thin passengers. Advances in Applied Probability. 39(4). 1098–1114.
17.
Pomeransky, A. A., et al.. (2004). The information entropy of quantum mechanical states. 11 indexed citations
18.
El‐Sana, Jihad & Eitan Bachmat. (2002). Optimized view-dependent rendering for large polygonal datasets. IEEE Visualization. 77–84. 17 indexed citations
19.
Bachmat, Eitan & Jiří Schindler. (2002). Analysis of methods for scheduling low priority disk drive tasks. 55–65. 46 indexed citations
20.
Bachmat, Eitan & Eyal Z. Goren. (1999). On the non ordinary locus in Hilbert-Blumenthal surfaces. Mathematische Annalen. 313(3). 475–506. 13 indexed citations

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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