Diego Tlapa

52 papers receiving 917 citations

Peers

Diego Tlapa
Comparison fields: 5 of 102
  • Medical Laboratory Technology 77
  • Management Information Systems 456
  • Industrial and Manufacturing Engineering 260
  • Strategy and Management 314
  • Health Information Management 41
Replace Sandra L. Furterer with:
Sandra L. Furterer United States
Shreeranga Bhat India
Richard Greatbanks New Zealand
Carlo Rafele Italy
Jeroen de Mast Netherlands
Augusto da Cunha Reis Brazil
Higor Leite Brazil
Anand Gurumurthy India
Håkan Aronsson Sweden
José Dinis‐Carvalho Portugal
Diego Tlapa relative to Sandra L. Furterer United States Sandra L. Furterer's profile →
Citations per field
00.5×2.8×
Sandra L. Furterer · 1×
Citations per year

Countries citing papers authored by Diego Tlapa

Since Specialization
Citations

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

Fields of papers citing papers by Diego Tlapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Diego Tlapa, 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 Diego Tlapa Line = papers co-authored together Diego Tlapa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202092
2 202084
3 202079
4 202056
5 202056
6 201852
7 201750
8 202048
9 201633
10 202233
11 202231
12 202229
13 202027
14 202425
15 201921
16 202121
17 202217
18 202016
19 202116
20 202015

About Diego Tlapa

Diego Tlapa is a scholar working on Management Information Systems, Strategy and Management, Management Science and Operations Research, Medical Laboratory Technology and Industrial and Manufacturing Engineering, having authored 53 papers that have together received 956 indexed citations. Recurring topics across this work include Quality and Supply Management (22 papers), Quality and Safety in Healthcare (9 papers), Quality and Management Systems (8 papers), Digital Transformation in Industry (7 papers), Business, Innovation, and Economy (5 papers), Construction Project Management and Performance (4 papers), Sustainable Supply Chain Management (4 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Medical Laboratory Technology (77 citations), Management Information Systems (456 citations), Industrial and Manufacturing Engineering (260 citations), Strategy and Management (314 citations) and Health Information Management (41 citations). Diego Tlapa has collaborated with scholars based in Mexico, Brazil and Australia. Frequent co-authors include Guilherme Luz Tortorella, Yolanda Báez-López, Jorge Limón-Romero, Roberto S. Vassolo, Alejandro Vergara, Flávio S. Fogliatto, Gopalakrishnan Narayanamurthy, Kleber Francisco Espôsto, S. Ontiveros and Manuel Iván Rodríguez Borbón. Their work appears in journals such as IEEE Access, Journal of Manufacturing Technology Management, International Journal of Environmental Research and Public Health, International Journal of Production Research and Results in Engineering.

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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