H. Hashemi

36 papers receiving 1.1k citations

Peers

H. Hashemi
Comparison fields: 5 of 111
  • Management Science and Operations Research 644
  • Statistics, Probability and Uncertainty 100
  • Building and Construction 177
  • Radiological and Ultrasound Technology 58
  • Management of Technology and Innovation 82
Replace Siniša Sremac with:
Siniša Sremac Serbia
İlker Gölcük Türkiye
Mehmet Ekmekçioğlu Türkiye
Seyed Farid Mousavi Iran
Friedel Peldschus Germany
Hossein Gitinavard Iran
Ting-Ya Hsieh Taiwan
Wenjing Shen China
İrem Uçal Sarı Türkiye
Giacomo Maria Galante Italy
H. Hashemi relative to Siniša Sremac Serbia Siniša Sremac's profile →
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Citations per year

Countries citing papers authored by H. Hashemi

Since Specialization
Citations

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

Fields of papers citing papers by H. Hashemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011135
2 2012118
3 200988
4 201280
5 201375
6 201858
7 201254
8 199453
9 201446
10 201040
11 201334
12 201132
13 201931
14 201825
15 201124
16 201322
17 202119
18 201518
19 201616
20 201315

About H. Hashemi

H. Hashemi is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Artificial Intelligence, Civil and Structural Engineering and Statistics, Probability and Uncertainty, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (17 papers), Optimization and Mathematical Programming (7 papers), Construction Project Management and Performance (5 papers), Quality Function Deployment in Product Design (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Neural Networks and Applications (3 papers), BIM and Construction Integration (3 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Management Science and Operations Research (644 citations), Statistics, Probability and Uncertainty (100 citations), Building and Construction (177 citations), Radiological and Ultrasound Technology (58 citations) and Management of Technology and Innovation (82 citations). H. Hashemi has collaborated with scholars based in Iran, Lithuania and Australia. Frequent co-authors include Seyed Meysam Mousavi, Behnam Vahdani, Reza Tavakkoli‐Moghaddam, Sadoullah Ebrahimnejad, H. Malekly, Mohammad Mojtahedi, Morteza Mousakhani, Edmundas Kazimieras Zavadskas, Farnad Nasirzadeh and Parviz Ghoddousi. Their work appears in journals such as Applied Mathematical Modelling, Sustainability, Journal of Construction Engineering and Management, Expert Systems with Applications and Journal of Management in Engineering.

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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