Hashem Mahlooji

23 papers receiving 354 citations

Peers

Hashem Mahlooji
Comparison fields: 5 of 78
  • Statistics, Probability and Uncertainty 116
  • Industrial and Manufacturing Engineering 86
  • Management Science and Operations Research 82
  • Statistics and Probability 64
  • Control and Systems Engineering 61
Replace Najmeh Alikar with:
Najmeh Alikar Malaysia
Ching‐Liang Chang Taiwan
Kelly M. Sullivan United States
H.L. Ong Singapore
Hongguang Ma China
Majid Aminnayeri Iran
Allen G. Greenwood United States
Arash Zaretalab Iran
R.S. Lashkari Canada
Matthieu van der Heijden Netherlands
Hashem Mahlooji relative to Najmeh Alikar Malaysia Najmeh Alikar's profile →
Citations per field
00.5×2.8×
Najmeh Alikar · 1×
Citations per year

Countries citing papers authored by Hashem Mahlooji

Since Specialization
Citations

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

Fields of papers citing papers by Hashem Mahlooji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hashem Mahlooji

This figure shows the co-authorship network connecting the top 25 collaborators of Hashem Mahlooji. A scholar is included among the top collaborators of Hashem Mahlooji 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 Hashem Mahlooji. Hashem Mahlooji 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
1 2
2 3
3 5
4 33
5 14
6 31
7
Phase II monitoring of binary response profiles
15
8 39
9 3
10 14
11 12
12 17
13 7
14 53
15 10
16 1
17
Uniform fractional part: a simple fast method for generating continuous random variates
2
18 0
19 48
20 3

About Hashem Mahlooji

Hashem Mahlooji is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 366 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (116 citations), Industrial and Manufacturing Engineering (86 citations) and Statistics and Probability (64 citations). Hashem Mahlooji has collaborated with scholars based in Iran, Australia and Egypt. Frequent co-authors include Hassan Shavandi, Babak Abbasi, Arthur B. Yeh, Alireza Shadman, Changliang Zou, Stefanka Chukova, Majid Khedmati, Mahdi Hamid, Ali Ghazizadeh and Ahmad Taher Azar. Their work appears in journals such as Expert Systems with Applications, Journal of the Operational Research Society and International Journal of Production 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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