Ashkan Negahban

37 papers receiving 906 citations

Hit Papers

Simulation for manufacturing system design and operation:...20142026201820222014100200300

Peers

Ashkan Negahban
Comparison fields: 5 of 88
  • Industrial and Manufacturing Engineering 406
  • Management Science and Operations Research 234
  • Management Information Systems 131
  • Building and Construction 125
  • Strategy and Management 76
Replace José Arnaldo Barra Montevechi with:
José Arnaldo Barra Montevechi Brazil
Roberto Revetria Italy
Scott E. Grasman United States
Fabiano Leal Brazil
Yaoguang Hu China
James R. Morrison South Korea
Vittaldas V. Prabhu United States
Hamid R. Parsaei United States
Manuel D. Rossetti United States
Roya Soltani Iran
Ashkan Negahban relative to José Arnaldo Barra Montevechi Brazil José Arnaldo Barra Montevechi's profile →
Citations per field
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José Arnaldo Barra Montevechi · 1×
Citations per year

Countries citing papers authored by Ashkan Negahban

Since Specialization
Citations

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

Fields of papers citing papers by Ashkan Negahban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashkan Negahban

This figure shows the co-authorship network connecting the top 25 collaborators of Ashkan Negahban. A scholar is included among the top collaborators of Ashkan Negahban 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 Ashkan Negahban. Ashkan Negahban 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 0
2 1
3 1
4 1
5 6
6 36
7 13
8 5
9 15
10 2
11 15
12 1
13 0
14 2
15
Production-Sales Policies for New Product Diffusion under Stochastic Supply
4
16
Simulation for manufacturing system design and operation: Literature review and analysisbreakdown →
369
17 75
18 38
19
The Effects of Pre-Processing Methods on Forecasting Improvement of Artificial Neural Networks
11
20 47

About Ashkan Negahban

Ashkan Negahban is a scholar working on Management Science and Operations Research, Software and Management of Technology and Innovation, having authored 40 papers that have together received 936 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (10 papers), Simulation Techniques and Applications (6 papers) and Product Development and Customization (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (406 citations), Management Science and Operations Research (234 citations) and Management Information Systems (131 citations). Ashkan Negahban has collaborated with scholars based in United States, Iran and Türkiye. Frequent co-authors include Jeffrey S. Smith, Levent Yılmaz, A. Azadeh, Mohsen Moghaddam, Robin G. Qiu, Youakim Badr, Anchal Gupta, Seyed Mohammad Asadzadeh, Philippe J. Giabbanelli and Omar Ashour. Their work appears in journals such as European Journal of Operational Research, Energy and Buildings and International Journal of Production Economics.

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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