Tzvi Raz

2.2k citations
62 papers · 1.5k · h-index 20

Impact in

Papers in

Tzvi Raz

60 papers receiving 1.3k citations

Peers

Tzvi Raz
Comparison fields: 5 of 112
  • Management Science and Operations Research 626
  • Statistics, Probability and Uncertainty 329
  • Management Information Systems 315
  • Industrial and Manufacturing Engineering 291
  • Software 93
Replace Kwei Tang with:
Kwei Tang United States
Adedeji B. Badiru United States
Ronald G. Askin United States
M. Zied Babaï France
Habib Chabchoub Tunisia
Jeffrey D. Tew United States
Abdul Raouf Canada
Robert Boute Belgium
Ana Paula Cabral Seixas Costa Brazil
Juite Wang Taiwan
Tzvi Raz relative to Kwei Tang United States Kwei Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tzvi Raz

Since Specialization
Citations

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

Fields of papers citing papers by Tzvi Raz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002312
2 1990114
3 199099
4 199293
5 198684
6 200380
7 200570
8 200067
9 200848
10 200643
11 200038
12 200237
13 199932
14 200030
15 199127
16 198325
17 199625
18 198722
19 200219
20 198719

About Tzvi Raz

Tzvi Raz is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Information Systems, Statistics, Probability and Uncertainty and Management Information Systems, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Manufacturing Process and Optimization (11 papers), Industrial Vision Systems and Defect Detection (10 papers), Software Engineering Techniques and Practices (10 papers), Software Engineering Research (9 papers), Construction Project Management and Performance (6 papers), Software Reliability and Analysis Research (6 papers) and Resource-Constrained Project Scheduling (5 papers). The work is most often cited by research in Management Science and Operations Research (626 citations), Statistics, Probability and Uncertainty (329 citations), Management Information Systems (315 citations), Industrial and Manufacturing Engineering (291 citations) and Software (93 citations). Tzvi Raz has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Dov Dvir, Aaron J. Shenhar, David Hillson, Yale T. Herer, Shlomo Globerson, Robert C. Barnes, Ofer Zwikael, Dennis L. Bricker, Erdal Erel and Moshe Zviran. Their work appears in journals such as Computers & Industrial Engineering, International Journal of Production Research, Project Management Journal, European Journal of Operational Research and Information and Software Technology.

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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