Mario T. Tabucanon

60 papers receiving 819 citations

Peers

Mario T. Tabucanon
Comparison fields: 5 of 93
  • Management Science and Operations Research 334
  • Industrial and Manufacturing Engineering 263
  • Strategy and Management 156
  • Control and Systems Engineering 138
  • Management Information Systems 135
Replace Kamran Rezaie with:
Kamran Rezaie Iran
Guozhu Jia China
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Ziya Ulukan Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Mario T. Tabucanon

Since Specialization
Citations

This map shows the geographic impact of Mario T. Tabucanon'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 Mario T. Tabucanon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario T. Tabucanon more than expected).

Fields of papers citing papers by Mario T. Tabucanon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario T. Tabucanon. 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 Mario T. Tabucanon. The network helps show where Mario T. Tabucanon may publish in the future.

Co-authorship network of co-authors of Mario T. Tabucanon

This figure shows the co-authorship network connecting the top 25 collaborators of Mario T. Tabucanon. A scholar is included among the top collaborators of Mario T. Tabucanon 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 Mario T. Tabucanon. Mario T. Tabucanon 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
Managing Persistent Organic Pollutants in the Asia-Pacific Region: A Multi-Level Approach
2
3 1
4
On 5-Axis Freeform Surface Machining Optimization: Vector Field Clustering Approach
16
5
Heuristics for Job Shop Scheduling Problems with Progressive Weighted Tardiness Penalties and Inter-machine Overlapping Sequence-dependent Setup Times
2
6 8
7 69
8 9
9 1
10 20
11 94
12 3
13 7
14 104
15 3
16 4
17 22
18
Decision models for industrial systems engineers and managers
4
19 1
20 9

About Mario T. Tabucanon

Mario T. Tabucanon is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research, having authored 66 papers that have together received 922 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (14 papers), Manufacturing Process and Optimization (11 papers) and Optimization and Mathematical Programming (10 papers). The work is most often cited by research in Management Science and Operations Research (334 citations), Industrial and Manufacturing Engineering (263 citations) and Management of Technology and Innovation (130 citations). Mario T. Tabucanon has collaborated with scholars based in Thailand, Japan and Australia. Frequent co-authors include Nagen Nagarur, Alan Pearman, Stephen O. Ogunlana, Prasanta Kumar Dey, San Hlaing Myint, Devendra Kumar Verma, Nguyen Van Hop, Md Alamgir Kabir, Peter Edwards and Erik L.J. Bohez. Their work appears in journals such as European Journal of Operational Research, Energy 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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