Scott Lucero

1.0k citations
4 papers · 622 indexed · 1 hit paper · h-index 2
Topics
Systems Engineering Methodologies and Applications (2 papers)Technology Assessment and Management (2 papers)Military Strategy and Technology (1 paper)
Partner nations
United StatesCanada

In The Last Decade

Scott Lucero

4 papers receiving 599 citations

Hit Papers

Leveraging Digital Twin Technology in Model-Based Systems...20192026202120232019200400600

Peers

Scott Lucero
Comparison fields: 5 of 90
  • Industrial and Manufacturing Engineering 410
  • Safety, Risk, Reliability and Quality 113
  • Control and Systems Engineering 87
  • Building and Construction 78
  • Information Systems 68
Replace Carla C. Madni with:
Carla C. Madni United States
George Lo United States
Kurt Dirk Bettenhausen Germany
Roland Rosen Germany
Fengtian Chang China
Eric VanDerHorn United States
Michael Grieves United States
Boyang Song China
Kendrik Yan Hong Lim Singapore
Sebastian Haag Germany
Scott Lucero relative to Carla C. Madni United States Carla C. Madni's profile →
Citations per field
00.5×1.5×
Carla C. Madni · 1×
Citations per year

Countries citing papers authored by Scott Lucero

Since Specialization
Citations

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

Fields of papers citing papers by Scott Lucero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Lucero

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Lucero. A scholar is included among the top collaborators of Scott Lucero 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 Scott Lucero. Scott Lucero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2
Leveraging Digital Twin Technology in Model-Based Systems Engineeringbreakdown →
605
3 15
4 1

About Scott Lucero

Scott Lucero is a scholar working on Software, Safety, Risk, Reliability and Quality and Media Technology, having authored 4 papers that have together received 622 indexed citations. Recurring topics across this work include Systems Engineering Methodologies and Applications (2 papers), Technology Assessment and Management (2 papers) and Military Strategy and Technology (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (410 citations), Safety, Risk, Reliability and Quality (113 citations) and Medical Laboratory Technology (17 citations). Scott Lucero has collaborated with scholars based in United States and Canada. Frequent co-authors include Carla C. Madni, Azad M. Madni, Mary Shaw, Mark A. Ardis, Art Pyster, Pierre Bourque, Thomas B. Hilburn, James E. McDonald, Tim Morris and Kristen Baldwin. Their work appears in journals such as IEEE Software, Systems Engineering and Systems.

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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