A. Sharifnia

597 citations
15 papers · 458 indexed · h-index 9

A. Sharifnia

13 papers receiving 435 citations

Peers

A. Sharifnia
Comparison fields: 5 of 37
  • Industrial and Manufacturing Engineering 282
  • Management Information Systems 230
  • Safety, Risk, Reliability and Quality 58
  • Computational Theory and Mathematics 69
  • Management Science and Operations Research 49
Replace Michael H. Veatch with:
Michael H. Veatch United States
Sherman X. Bai United States
G. Feigin United States
Étienne Craye France
Bryan L. Deuermeyer United States
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Ross J.W. James New Zealand
Shengwei Ding United States
M. Karimi-Nasab Iran
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Citations per field
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Citations per year

Countries citing papers authored by A. Sharifnia

Since Specialization
Citations

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

Fields of papers citing papers by A. Sharifnia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside A. Sharifnia, 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 A. Sharifnia Line = papers co-authored together A. Sharifnia links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20050
2 20023
3 20026
4
Dynamic setup scheduling and flow control in manufacturing systems, discrete events dynamic systems
19990
5 199718
6 199612
7 19954
8 199448
9 199154
10 199179
11 19912
12
Production control of a manufacturing system with multiple machine states
198911
13 1988171
14 198510
15 198540

About A. Sharifnia

A. Sharifnia is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Computational Theory and Mathematics, having authored 15 papers that have together received 458 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (12 papers), Supply Chain and Inventory Management (5 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Advanced Queuing Theory Analysis (4 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Advanced Control Systems Optimization (3 papers), Petri Nets in System Modeling (3 papers) and Assembly Line Balancing Optimization (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (282 citations), Management Information Systems (230 citations) and Safety, Risk, Reliability and Quality (58 citations). A. Sharifnia has collaborated with scholars based in United States, Iran and Italy. Frequent co-authors include Michael C. Caramanis, Stanley B. Gershwin, Hedayat Z. Aashtiani, B. F. von Turkovich and Paolo Brandimarte. Their work appears in journals such as IEEE Transactions on Automatic Control, Operations Research, Discrete Event Dynamic Systems, CIRP Annals and IEEE Power Engineering Review.

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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