Saeed Maghsoodloo

53 papers receiving 856 citations

Peers

Saeed Maghsoodloo
Comparison fields: 5 of 136
  • Statistics, Probability and Uncertainty 148
  • Industrial and Manufacturing Engineering 184
  • Software 60
  • Management Science and Operations Research 165
  • Civil and Structural Engineering 216
Replace Uday Kumar with:
Uday Kumar Sweden
Indra Gunawan Australia
V.N.A. Naikan India
W.J. Kolarik United States
Peter Söderholm Sweden
Melinda Hodkiewicz Australia
José Torres Farinha Portugal
Rodrigo Pascual Chile
Bernd Bertsche Germany
K. A. H. Kobbacy United Kingdom
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Citations per field
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Uday Kumar · 1×
Citations per year

Countries citing papers authored by Saeed Maghsoodloo

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Maghsoodloo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saeed Maghsoodloo, 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 Saeed Maghsoodloo Line = papers co-authored together Saeed Maghsoodloo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004138
2 199568
3 200161
4 201051
5 200245
6 201043
7 199042
8 200039
9 199039
10 201137
11 200133
12 201132
13 199829
14 200023
15 198121
16 201120
17 200920
18 201719
19 198919
20 199018

About Saeed Maghsoodloo

Saeed Maghsoodloo is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Statistics and Probability, Industrial and Manufacturing Engineering and Information Systems, having authored 59 papers that have together received 960 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Advanced Statistical Methods and Models (10 papers), Manufacturing Process and Optimization (9 papers), Optimal Experimental Design Methods (9 papers), Software Engineering Research (8 papers), Asphalt Pavement Performance Evaluation (7 papers), Infrastructure Maintenance and Monitoring (6 papers) and Product Development and Customization (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (148 citations), Industrial and Manufacturing Engineering (184 citations), Software (60 citations), Management Science and Operations Research (165 citations) and Civil and Structural Engineering (216 citations). Saeed Maghsoodloo has collaborated with scholars based in United States, Taiwan and Türkiye. Frequent co-authors include Gültekin Özdemir, James H. Cross, Victoria Jordan, Bor‐Wen Cheng, E R Brown, David B. Brown, L A Cooley, T. Dean Hendrix, Chun-Lang Chang and Heping Liu. Their work appears in journals such as Quality and Reliability Engineering International, Journal of Manufacturing Systems, IEEE Transactions on Software Engineering, Journal of Quality Technology and Journal of Safety 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.

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