Gonen Singer

38 papers receiving 633 citations

Peers

Gonen Singer
Comparison fields: 5 of 102
  • Health Informatics 38
  • Organizational Behavior and Human Resource Management 138
  • Medical Laboratory Technology 17
  • Industrial and Manufacturing Engineering 123
  • Management Information Systems 90
Replace Katerina Lepenioti with:
Katerina Lepenioti Greece
Pantea Keikhosrokiani Malaysia
XinYing Chew Malaysia
Bor‐Wen Cheng Taiwan
Francesca Fallucchi Italy
Onur Doğan Türkiye
Manjeet Singh United States
Moninder Singh United States
Fernando Martínez‐Plumed Spain
R. T. Mohammed Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Gonen Singer

Since Specialization
Citations

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

Fields of papers citing papers by Gonen Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Gonen Singer, 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 Gonen Singer Line = papers co-authored together Gonen Singer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020174
2 201964
3 202232
4 201430
5 202028
6 202124
7 202020
8 201918
9 202017
10 202117
11 202116
12 201316
13 201915
14 201815
15 202213
16 200712
17 201412
18 200412
19 202012
20 202311

About Gonen Singer

Gonen Singer is a scholar working on Artificial Intelligence, Management Science and Operations Research, Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 41 papers that have together received 659 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (7 papers), Digital Transformation in Industry (4 papers), AI and HR Technologies (4 papers), Advanced Statistical Process Monitoring (4 papers), Supply Chain and Inventory Management (3 papers), Rough Sets and Fuzzy Logic (3 papers), Machine Learning and Data Classification (3 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Health Informatics (38 citations), Organizational Behavior and Human Resource Management (138 citations), Medical Laboratory Technology (17 citations), Industrial and Manufacturing Engineering (123 citations) and Management Information Systems (90 citations). Gonen Singer has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Irad Ben‐Gal, Yuval Cohen, Hila Chalutz Ben‐Gal, Dana Pessach, Erez Shmueli, Eugene Khmelnitsky, Izack Cohen, Anat Ratnovsky, Sara Naftali and Alexandra Dana. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Expert Systems with Applications, International Journal of Production Research, Journal Of Big Data and Quality Technology & Quantitative Management.

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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