Daniel Pacheco Lacerda

120 papers receiving 1.8k citations

Peers

Daniel Pacheco Lacerda
Comparison fields: 5 of 140
  • Strategy and Management 389
  • Management Information Systems 350
  • Management Science and Operations Research 330
  • Management of Technology and Innovation 268
  • Economics and Econometrics 248
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Maja Meško Slovenia
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Citations per year

Countries citing papers authored by Daniel Pacheco Lacerda

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pacheco Lacerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Pacheco Lacerda. 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 Daniel Pacheco Lacerda. The network helps show where Daniel Pacheco Lacerda may publish in the future.

Co-authorship network of co-authors of Daniel Pacheco Lacerda

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pacheco Lacerda. A scholar is included among the top collaborators of Daniel Pacheco Lacerda 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 Daniel Pacheco Lacerda. Daniel Pacheco Lacerda 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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8 9
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13 9
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Match Analysis in Volleyball: a systematic review
40
17
Gestão da inovação e competitividade no Brasil: da teoria para a prática
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18 1
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Discussão teórica sobre o conceito de perdas do Sistema Toyota de Produção: inserindo a lógica do ganho da Teoria das Restrições Theoretical discussion of the concept of wastes in the Toyota Production System: introducing the throughput logic of the Theory of Constraints
3
20 1

About Daniel Pacheco Lacerda

Daniel Pacheco Lacerda is a scholar working on Management Information Systems, Information Systems and Management and Management Science and Operations Research, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quality and Supply Management (30 papers), Business and Management Studies (30 papers) and Operations Management Techniques (27 papers). The work is most often cited by research in Management Information Systems (350 citations), Management of Technology and Innovation (268 citations) and Management Science and Operations Research (330 citations). Daniel Pacheco Lacerda has collaborated with scholars based in Brazil, Portugal and United States. Frequent co-authors include Aline Dresch, José Antônio Valle Antunes, Fábio Sartori Piran, Paulo Vicente João, Júlio Cezar Mairesse Siluk, Paula Donaduzzi Rigo, Miguel Silva, Paulo Augusto Cauchick Miguel, Carmen Brum Rosa and Miguel Afonso Sellitto. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Journal of Operational Research.

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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