Bernardo Villarreal

30 papers receiving 536 citations

Peers

Bernardo Villarreal
Comparison fields: 5 of 75
  • Management Information Systems 264
  • Strategy and Management 213
  • Industrial and Manufacturing Engineering 168
  • Management Science and Operations Research 102
  • Control and Systems Engineering 71
Replace Luís M. S. Dias with:
Luís M. S. Dias Portugal
Mujahid N. Syed Saudi Arabia
Hussein Naseraldin Israel
Gajendra K. Adil India
Umit Akinc United States
Gyana R. Parija United States
M. Jeihoonian Iran
Van‐Dat Cung France
Ravi Shankar Kumar India
José Luis González–Velarde Mexico
Bernardo Villarreal relative to Luís M. S. Dias Portugal Luís M. S. Dias's profile →
Citations per field
00.5×1.5×1.8×
Luís M. S. Dias · 1×
Citations per year

Countries citing papers authored by Bernardo Villarreal

Since Specialization
Citations

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

Fields of papers citing papers by Bernardo Villarreal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernardo Villarreal

This figure shows the co-authorship network connecting the top 25 collaborators of Bernardo Villarreal. A scholar is included among the top collaborators of Bernardo Villarreal 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 Bernardo Villarreal. Bernardo Villarreal 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 12
3 0
4 17
5
Reduce turnaround time through waste elimination.
1
6 11
7
Improving on-time delivery eliminating routing waste: A case study
1
8 104
9 2
10 0
11
Increasing Customer Satisfaction Through Lean Distribution
1
12 5
13 1
14
An Introduction to Distribution Operational Efficiency
15
15
A Simulation Approach to Improve Assembly Line Performance
7
16 13
17 22
18 18
19 67
20 18

About Bernardo Villarreal

Bernardo Villarreal is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 34 papers that have together received 563 indexed citations. Recurring topics across this work include Quality and Supply Management (17 papers), Operations Management Techniques (9 papers) and Assembly Line Balancing Optimization (8 papers). The work is most often cited by research in Management Information Systems (264 citations), Industrial and Manufacturing Engineering (168 citations) and Strategy and Management (213 citations). Bernardo Villarreal has collaborated with scholars based in Mexico, United Kingdom and United States. Frequent co-authors include Vikas Kumar, Jose Arturo Garza‐Reyes, Mark H. Karwan, J. L. Gordillo, Ming K. Lim, Gustavo Olague, Subhash C. Narula, M. M. Desu, Jenny Díaz-Ramírez and Miguel Gastón Cedillo‐Campos. Their work appears in journals such as Neurocomputing, Journal of Mathematical Analysis and Applications and Mathematical Programming.

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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