Yonit Barron

449 citations
34 papers · 345 · h-index 13

Impact in

Papers in

Yonit Barron

30 papers receiving 334 citations

Peers

Yonit Barron
Comparison fields: 5 of 44
  • Management Information Systems 227
  • Safety, Risk, Reliability and Quality 120
  • Software 39
  • Statistics, Probability and Uncertainty 44
  • Industrial and Manufacturing Engineering 59
Replace Kit‐Nam Francis Leung with:
Kit‐Nam Francis Leung Hong Kong
Dequan Yue China
Chih‐Chiang Fang Taiwan
Nicky D. van Foreest Netherlands
Qiwei Hu China
Miaomiao Yu China
Yinghui Tang China
Tzu‐Hsin Liu Taiwan
Xue-Ming Yuan Singapore
Timothy S. Vaughan United States
Yonit Barron relative to Kit‐Nam Francis Leung Hong Kong Kit‐Nam Francis Leung's profile →
Citations per field
00.5×5.7×
Kit‐Nam Francis Leung · 1×
Citations per year

Countries citing papers authored by Yonit Barron

Since Specialization
Citations

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

Fields of papers citing papers by Yonit Barron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Yonit Barron, 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 Yonit Barron Line = papers co-authored together Yonit Barron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200436
2 201728
3 201926
4 201721
5 201920
6 201417
7 201717
8 201514
9 201614
10 201813
11 201513
12 200412
13 202112
14 201812
15 201410
16 202110
17 20159
18 20209
19 20168
20 20158

About Yonit Barron

Yonit Barron is a scholar working on Management Information Systems, Safety, Risk, Reliability and Quality, Industrial and Manufacturing Engineering, Management Science and Operations Research and Statistics and Probability, having authored 34 papers that have together received 345 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (24 papers), Supply Chain and Inventory Management (21 papers), Reliability and Maintenance Optimization (8 papers), Scheduling and Optimization Algorithms (6 papers), Statistical Distribution Estimation and Applications (5 papers), Transportation and Mobility Innovations (4 papers), Probability and Risk Models (3 papers) and Management and Optimization Techniques (3 papers). The work is most often cited by research in Management Information Systems (227 citations), Safety, Risk, Reliability and Quality (120 citations), Software (39 citations), Statistics, Probability and Uncertainty (44 citations) and Industrial and Manufacturing Engineering (59 citations). Yonit Barron has collaborated with scholars based in Israel, Canada and Germany. Frequent co-authors include Esther Frostig, Opher Baron, Benny Levikson, Uri Yechiali, David Perry, Wolfgang Stadje and Shraga Shoval. Their work appears in journals such as Annals of Operations Research, European Journal of Operational Research, International Journal of Production Research, Journal of Applied Probability and Mathematical Methods of Operations Research.

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