Supun Perera

22 papers receiving 453 citations

Peers

Supun Perera
Comparison fields: 5 of 81
  • Transportation 92
  • Strategy and Management 163
  • Industrial and Manufacturing Engineering 96
  • Statistical and Nonlinear Physics 108
  • Management Information Systems 51
Replace Tanmoy Kundu with:
Tanmoy Kundu India
Agustina Calatayud United States
Yihong Hu China
Daoli Zhu China
Anqiang Huang China
Sanjin Milinković Serbia
Xueguo Xu China
Supreet Reddy Mandala United States
Sanja Bauk Montenegro
Mohammad Ilbeigi United States
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Countries citing papers authored by Supun Perera

Since Specialization
Citations

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

Fields of papers citing papers by Supun Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Supun Perera, 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 Supun Perera Line = papers co-authored together Supun Perera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201791
2 202073
3 201770
4 201742
5 202036
6 201932
7 202029
8 201825
9 201915
10 201712
11 201911
12 202010
13
Resilience Characteristics of Supply Network Topologies Generated by Fitness Based Growth Models
20166
14
Modelling supply chains as complex networks for investigating resilience: an improved methodological framework
20155
15 20195
16 20175
17 20183
18 20183
19
Consumer Surplus based Method for Quantifying and Improving the Material Flow Supply Chain Network Robustness
20182
20 20182

About Supun Perera

Supun Perera is a scholar working on Statistical and Nonlinear Physics, Strategy and Management, Economics and Econometrics, Industrial and Manufacturing Engineering and Ecology, having authored 23 papers that have together received 480 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Sustainable Supply Chain Management (9 papers), Supply Chain Resilience and Risk Management (8 papers), Economic and Technological Innovation (4 papers), Maritime Ports and Logistics (3 papers), Transportation Planning and Optimization (3 papers), Wildlife-Road Interactions and Conservation (2 papers) and Graph theory and applications (2 papers). The work is most often cited by research in Transportation (92 citations), Strategy and Management (163 citations), Industrial and Manufacturing Engineering (96 citations), Statistical and Nonlinear Physics (108 citations) and Management Information Systems (51 citations). Supun Perera has collaborated with scholars based in Australia, Sri Lanka and China. Frequent co-authors include Michael G.H. Bell, Michiel C.J. Bliemer, Jingjing Pan, Kam-Fung Cheung, Fumitaka Kurauchi, K. I. Wong, Michael G H Bell, Dharshana Kasthurirathna, Alexandra Brintrup and Vinod Kumar Chauhan. Their work appears in journals such as Maritime Policy & Management, Transportation Research Part B Methodological, International Journal of Production Research, Scientific Reports and Transportation Research Part E Logistics and Transportation 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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