Syed Imran Shafiq

806 citations
21 papers · 498 indexed · 1 hit paper · h-index 11

Syed Imran Shafiq

21 papers receiving 484 citations

Hit Papers

Virtual Engineering Object (VEO): Toward Experience-Based...1142015202620182022255075100

Peers

Syed Imran Shafiq
Comparison fields: 5 of 58
  • Industrial and Manufacturing Engineering 333
  • Management Information Systems 105
  • Safety, Risk, Reliability and Quality 81
  • Management of Technology and Innovation 53
  • Medical Laboratory Technology 9
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Claire Palmer United Kingdom
Stephan Weyer Germany
Jens C. Göbel Germany
Gregor von Cieminski Germany
Ting Zheng China
Sara Antomarioni Italy
Anselmi Immonen
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Nicole Stricker Germany
Marina Crnjac Croatia
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Citations per field
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Citations per year

Countries citing papers authored by Syed Imran Shafiq

Since Specialization
Citations

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

Fields of papers citing papers by Syed Imran Shafiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syed Imran Shafiq. 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 Syed Imran Shafiq. The network helps show where Syed Imran Shafiq may publish in the future.

Co-authorship network

The 7 scholars most cited alongside Syed Imran Shafiq, 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 Syed Imran Shafiq Line = papers co-authored together Syed Imran Shafiq links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20211
2 20215
3 20208
4 20192
5 20195
6 201914
7 201925
8 201834
9 201816
10 20176
11 201668
12 201611
13 201610
14 201611
15 201599
16
Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0breakdown →
2015114
17 20151
18 201428
19 20149
20 201010

About Syed Imran Shafiq

Syed Imran Shafiq is a scholar working on Safety, Risk, Reliability and Quality, Conservation and Industrial and Manufacturing Engineering, having authored 21 papers that have together received 498 indexed citations. Recurring topics across this work include Experience-Based Knowledge Management (17 papers), Technology Assessment and Management (11 papers), Manufacturing Process and Optimization (4 papers), Digital Transformation in Industry (4 papers), Conservation Techniques and Studies (4 papers), Recycling and Waste Management Techniques (3 papers), Design Education and Practice (2 papers) and QR Code Applications and Technologies (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (333 citations), Management Information Systems (105 citations) and Safety, Risk, Reliability and Quality (81 citations). Syed Imran Shafiq has collaborated with scholars based in Australia, Poland and India. Frequent co-authors include Cesar Sanín, Edward Szczerbicki, Carlos Toro, Mohammad Maqbool Waris, Muhammad Bilal Ahmed, Haoxi Zhang and Gorka Vélez. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, Future Generation Computer Systems, Cybernetics & Systems, International Journal of Production Research and Global Journal of Flexible Systems Management.

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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