Lou Caccetta

648 citations
35 papers · 514 · h-index 11

Impact in

Papers in

Lou Caccetta

29 papers receiving 473 citations

Peers

Lou Caccetta
Comparison fields: 5 of 70
  • Transportation 135
  • Modeling and Simulation 79
  • Numerical Analysis 58
  • Applied Mathematics 105
  • Control and Systems Engineering 201
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Citations per field
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Citations per year

Countries citing papers authored by Lou Caccetta

Since Specialization
Citations

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

Fields of papers citing papers by Lou Caccetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Lou Caccetta, 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 Lou Caccetta Line = papers co-authored together Lou Caccetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201180
2 201268
3 201455
4 201550
5 201540
6 200138
7
Computational methods for the diameter restricted minimum weight spanning tree problem.
199436
8 201430
9 201322
10 201322
11 200618
12
MINIMUM WEIGHT SPANNING TREES WITH BOUNDED DIAMETER
19926
13
Premature sets of one-factors.
19925
14 20165
15
On the Nordhaus-Gaddum class problems.
19904
16 20094
17
On strongly edge-critical graphs of given diameter.
19933
18
Graphs with a prescribed adjacency property.
19923
19
On the existence of almost-regular- graphs without one-factors.
19943
20
On minimally k-extendable graphs.
19943

About Lou Caccetta

Lou Caccetta is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Industrial and Manufacturing Engineering, having authored 35 papers that have together received 514 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (15 papers), Graph Labeling and Dimension Problems (6 papers), graph theory and CDMA systems (5 papers), Nonlinear Differential Equations Analysis (5 papers), Interconnection Networks and Systems (4 papers), Differential Equations and Numerical Methods (3 papers), Graph theory and applications (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Transportation (135 citations), Modeling and Simulation (79 citations), Numerical Analysis (58 citations), Applied Mathematics (105 citations) and Control and Systems Engineering (201 citations). Lou Caccetta has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Yonghong Wu, Tie‐Qiao Tang, Hai Huang, Xinguang Zhang, N. R. Achuthan, Xiaobao Yang, Kok Lay Teo, Liang Chen, James F. Geelen and Lishan Liu. Their work appears in journals such as Journal of Computational and Applied Mathematics, Journal of Advanced Transportation, Physica A Statistical Mechanics and its Applications, Transportation Research Part C Emerging Technologies and Journal of Mathematical Analysis and Applications.

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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