Mario G. Beruvides

82 papers receiving 478 citations

Peers

Mario G. Beruvides
Comparison fields: 5 of 101
  • Strategy and Management 115
  • Management Information Systems 111
  • Management Science and Operations Research 96
  • Industrial and Manufacturing Engineering 76
  • Management of Technology and Innovation 49
Replace Paulo Afonso with:
Paulo Afonso Portugal
Wen‐Tsann Lin Taiwan
Mostafa Kazemi Iran
Geert Letens Belgium
Kong Bieng Chuah Hong Kong
Grant Mills United Kingdom
Carlos Henrique Pereira Mello Brazil
Reda M. S. Abdulaal Saudi Arabia
Laura Flórez United Kingdom
Sérgio Sousa Portugal
Mario G. Beruvides relative to Paulo Afonso Portugal Paulo Afonso's profile →
Citations per field
00.5×1.6×
Paulo Afonso · 1×
Citations per year

Countries citing papers authored by Mario G. Beruvides

Since Specialization
Citations

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

Fields of papers citing papers by Mario G. Beruvides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario G. Beruvides

This figure shows the co-authorship network connecting the top 25 collaborators of Mario G. Beruvides. A scholar is included among the top collaborators of Mario G. Beruvides 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 G. Beruvides. Mario G. Beruvides 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
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ENGINEERING AND GINNING Engineering Economic Analysis of a Cotton By-Product Fuel Pellet Operation
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A review of the state–of–the–art research on white–collar/knowledge–worker productivity
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Multi Scenario Pellet Fuel Manufacturing Operation Utilizing Cotton Waste
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Fiber neps generation in cotton processing.
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Engineering economic analysis of a cotton by-product fuel pellet operation
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About Mario G. Beruvides

Mario G. Beruvides is a scholar working on Architecture, Management Science and Operations Research and Management Information Systems, having authored 99 papers that have together received 511 indexed citations. Recurring topics across this work include Quality and Supply Management (11 papers), Construction Project Management and Performance (7 papers) and Complex Systems and Decision Making (6 papers). The work is most often cited by research in Management Information Systems (111 citations), Management Science and Operations Research (96 citations) and Strategy and Management (115 citations). Mario G. Beruvides has collaborated with scholars based in United States, Mexico and Ecuador. Frequent co-authors include David Güemes‐Castorena, J. René Villalobos, Pilar Pazos, Gregory Holt, Roman Taraban, Jiun-Yin Jian, Rodrigo E. Peimbert-García, Milton L. Smith, Clifford B. Fedler and M. R. James. Their work appears in journals such as Mechanical Systems and Signal Processing, International Journal of Production Research and Energies.

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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