André G. C. Pacheco

1.3k citations
20 papers · 823 indexed · h-index 12
Topics
Cutaneous Melanoma Detection and Management (8 papers)Multi-Criteria Decision Making (6 papers)AI in cancer detection (6 papers)
Partner nations
BrazilCanadaGermany

In The Last Decade

André G. C. Pacheco

17 papers receiving 787 citations

Peers

André G. C. Pacheco
Comparison fields: 5 of 119
  • Artificial Intelligence 346
  • Oncology 270
  • Management Science and Operations Research 270
  • Epidemiology 100
  • Control and Systems Engineering 95
Replace H. Altay Güvenir with:
H. Altay Güvenir Türkiye
Javier Sánchez‐Monedero Spain
Rajashree Dash India
Siqi Zhang China
John Durkin United States
Hadi Akbarzadeh Khorshidi Australia
Zuherman Rustam Indonesia
Adrian O’Hagan Ireland
Richard E. Neapolitan United States
Jihong Pang China
André G. C. Pacheco relative to H. Altay Güvenir Türkiye H. Altay Güvenir's profile →
Citations per field
00.5×10×15×
H. Altay Güvenir · 1×
Citations per year

Countries citing papers authored by André G. C. Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by André G. C. Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André G. C. Pacheco. 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 André G. C. Pacheco. The network helps show where André G. C. Pacheco may publish in the future.

Co-authorship network of co-authors of André G. C. Pacheco

This figure shows the co-authorship network connecting the top 25 collaborators of André G. C. Pacheco. A scholar is included among the top collaborators of André G. C. Pacheco 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 André G. C. Pacheco. André G. C. Pacheco 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 3
3 0
4 0
5 2
6 1
7 146
8 14
9 10
10 27
11 141
12 46
13 14
14 2
15 11
16 28
17 52
18 151
19 35
20 140

About André G. C. Pacheco

André G. C. Pacheco is a scholar working on Management Science and Operations Research, Oncology and Artificial Intelligence, having authored 20 papers that have together received 823 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Multi-Criteria Decision Making (6 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Management Science and Operations Research (270 citations), Artificial Intelligence (346 citations) and Oncology (270 citations). André G. C. Pacheco has collaborated with scholars based in Brazil, Canada and Germany. Frequent co-authors include Renato A. Krohling, Thomas Trappenberg, Sageev Oore, Luis A. de Souza, Christoph Palm, João Paulo Papa, Leandro A. Passos, Helmut Messmann, Alanna Ebigbo and Andreas Probst. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems and Neural Computing and Applications.

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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