Amir Sanayei

934 total citations · 1 hit paper
8 papers, 726 citations indexed

About

Amir Sanayei is a scholar working on Management Science and Operations Research, Management of Technology and Innovation and Strategy and Management. According to data from OpenAlex, Amir Sanayei has authored 8 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 4 papers in Management of Technology and Innovation and 3 papers in Strategy and Management. Recurrent topics in Amir Sanayei's work include Multi-Criteria Decision Making (4 papers), Product Development and Customization (3 papers) and Technology Assessment and Management (3 papers). Amir Sanayei is often cited by papers focused on Multi-Criteria Decision Making (4 papers), Product Development and Customization (3 papers) and Technology Assessment and Management (3 papers). Amir Sanayei collaborates with scholars based in United States, Iran and United Kingdom. Amir Sanayei's co-authors include Seyed Farid Mousavi, M. Reza Abdi, Ali Mohaghar, Leslie Monplaisir and Cory Peterson and has published in prestigious journals such as Expert Systems with Applications, Journal of the Franklin Institute and Human Biology.

In The Last Decade

Amir Sanayei

7 papers receiving 661 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Group decision making process for supplier selection with VIKOR under fuzzy environment

2009 469 citations Amir Sanayei, Seyed Farid Mousavi et al. Expert Systems with Applications profile →

Peers

Amir Sanayei

MSOR

SM

MIS

CSE

MTI

Seyed Farid Mousavi Iran

Mehtap Dursun Türkiye

Erhan Bozdag Türkiye

İbrahim Doğan Türkiye

Chin-Nung Liao Taiwan

Hsing-Pei Kao Taiwan

Nilsen Karakaşoğlu Türkiye

Ferhan Çebi Türkiye

Luís Alberto Duncan Rangel Brazil

Mohammad Hasan Aghdaie Iran

Seyed Farid Mousavi Iran

Amir Sanayei

642 ×1.2

MSOR

278 ×1.2

SM

178 ×1.1

MIS

158 ×1.0

CSE

108 ×1.0

MTI

Citations per year, relative to Amir Sanayei Amir Sanayei (= 1×) peers Seyed Farid Mousavi

Countries citing papers authored by Amir Sanayei

Since Specialization

Citations

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

Fields of papers citing papers by Amir Sanayei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Sanayei

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Sanayei. A scholar is included among the top collaborators of Amir Sanayei 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 Amir Sanayei. Amir Sanayei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Peterson, Cory, et al.. (2018). Machine-learned assessment and prediction of robust solid state storage system reliability physics. 3C.6–1. 5 indexed citations

2.

Sanayei, Amir. (2016). Technology Decisions In New Product Development. Human Biology. 1 indexed citations

3.

Sanayei, Amir & Leslie Monplaisir. (2013). Managing technology selection and development decisions in new product development process. Portland International Conference on Management of Engineering and Technology. 1558–1566. 1 indexed citations

4.

Sanayei, Amir & Leslie Monplaisir. (2012). Integrating product life cycle issues in technology selection. Portland International Conference on Management of Engineering and Technology. 1401–1407. 3 indexed citations

5.

Sanayei, Amir, et al.. (2009). A Group Based Fuzzy Mcdm For Selecting Knowledge Portal System. Zenodo (CERN European Organization for Nuclear Research). 3(4). 933–941. 4 indexed citations

6.

Sanayei, Amir, et al.. (2009). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications. 37(1). 24–30. 469 indexed citations breakdown →

7.

Mousavi, Seyed Farid, et al.. (2008). TQM consultant selection in SMEs with TOPSIS under fuzzy environment. Expert Systems with Applications. 36(2). 2742–2749. 117 indexed citations

8.

Sanayei, Amir, Seyed Farid Mousavi, M. Reza Abdi, & Ali Mohaghar. (2008). An integrated group decision-making process for supplier selection and order allocation using multi-attribute utility theory and linear programming. Journal of the Franklin Institute. 345(7). 731–747. 126 indexed citations

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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