Liron Yedidsion

30 papers receiving 368 citations

Peers

Liron Yedidsion
Comparison fields: 5 of 63
  • Industrial and Manufacturing Engineering 253
  • Computer Networks and Communications 144
  • Management Information Systems 69
  • Electrical and Electronic Engineering 32
  • Artificial Intelligence 28
Replace Mohammad Saidi Mehrabad with:
Mohammad Saidi Mehrabad Iran
Yunqing Rao China
Sang‐Oh Shim South Korea
Gaia Nicosia Italy
Xiuping Guo China
Simon Thevenin France
Xiaohan Wang China
Thérèse Bonte France
Shaojun Lu China
Kitae Shin South Korea
Liron Yedidsion relative to Mohammad Saidi Mehrabad Iran Mohammad Saidi Mehrabad's profile →
Citations per field
00.5×2.9×
Mohammad Saidi Mehrabad · 1×
Citations per year

Countries citing papers authored by Liron Yedidsion

Since Specialization
Citations

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

Fields of papers citing papers by Liron Yedidsion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liron Yedidsion

This figure shows the co-authorship network connecting the top 25 collaborators of Liron Yedidsion. A scholar is included among the top collaborators of Liron Yedidsion 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 Liron Yedidsion. Liron Yedidsion 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
#WorkIndexed citations
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2 10
3 11
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5 14
6 8
7 30
8 1
9
Threshold Function for the Optimal Stopping of Arithmetic Ornstein-Uhlenbeck Process
1
10 20
11 10
12 0
13 3
14 1
15 2
16 22
17 10
18 11
19 36
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About Liron Yedidsion

Liron Yedidsion is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 375 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (18 papers), Optimization and Search Problems (13 papers) and Advanced Queuing Theory Analysis (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (253 citations), Management Information Systems (69 citations) and Computer Networks and Communications (144 citations). Liron Yedidsion has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Dvir Shabtay, Moshe Kaspi, Hussein Naseraldin, George Steiner, Daniel Oron, Baruch Mor, Amir Elalouf, Arik Senderovich, Matthias Weidlich and Avishai Mandelbaum. Their work appears in journals such as Advanced Materials, European Journal of Operational Research and International Journal of Production Economics.

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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