Nima Moradi

404 citations
24 papers · 221 · h-index 7

Impact in

Papers in

Nima Moradi

20 papers receiving 214 citations

Peers

Nima Moradi
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 87
  • Building and Construction 49
  • Automotive Engineering 43
  • Management Science and Operations Research 24
  • Artificial Intelligence 24
Replace R. Uma Maheshwari with:
R. Uma Maheshwari India
Balakumar Muniandi United States
Yuqiang Sun China
Javier Conde Díaz Spain
J. Hatvany Hungary
Changjian Hu China
G. Deepti Raj India
Jun Tang China
Süreyya Akyüz Türkiye
Jiangfeng Li China
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R. Uma Maheshwari · 1×
Citations per year

Countries citing papers authored by Nima Moradi

Since Specialization
Citations

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

Fields of papers citing papers by Nima Moradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Nima Moradi, 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 Nima Moradi Line = papers co-authored together Nima Moradi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202145
2 202327
3 202425
4 202420
5 202420
6 201518
7 201415
8 20186
9 20256
10 20246
11 20226
12 20195
13 20195
14 20255
15 20214
16 20242
17 20252
18 20222
19 20231
20 20251

About Nima Moradi

Nima Moradi is a scholar working on Industrial and Manufacturing Engineering, Building and Construction, Automotive Engineering, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 24 papers that have together received 221 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (8 papers), Transportation and Mobility Innovations (8 papers), Vehicle Routing Optimization Methods (6 papers), Urban and Freight Transport Logistics (6 papers), Optimization and Packing Problems (2 papers), Electric Vehicles and Infrastructure (2 papers), BIM and Construction Integration (2 papers) and Facility Location and Emergency Management (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (87 citations), Building and Construction (49 citations), Automotive Engineering (43 citations), Management Science and Operations Research (24 citations) and Artificial Intelligence (24 citations). Nima Moradi has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Vahid Kayvanfar, Majid Rafiee, Fereshteh Mafakheri, Wang Chun, Vahid Salari, Bülent Çatay, Mir Ehsan Hesam Sadati, Farhad Kianfar, Felix Scholkmann and Farhad Fazileh. Their work appears in journals such as Computers & Industrial Engineering, Engineering With Computers, Expert Systems with Applications, International Journal of Production Economics and International Journal of Reliability Quality and Safety 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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