André G. C. Pacheco

50 total papers · 1.3k total citations
20 papers, 816 citations indexed

About

André G. C. Pacheco is a scholar working on Artificial Intelligence, Oncology and Management Science and Operations Research. According to data from OpenAlex, André G. C. Pacheco has authored 20 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Oncology and 7 papers in Management Science and Operations Research. Recurrent topics in André G. C. Pacheco's work include Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (6 papers) and Multi-Criteria Decision Making (6 papers). André G. C. Pacheco is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (6 papers) and Multi-Criteria Decision Making (6 papers). André G. C. Pacheco collaborates with scholars based in Brazil, Canada and Germany. André G. C. Pacheco's co-authors include Renato A. Krohling, Thomas Trappenberg, Sageev Oore, Luis A. de Souza, Christoph Palm, João Paulo Papa, Leandro A. Passos, Helmut Messmann, Renata de Lima and Robert Mendel and has published in prestigious journals such as Neurocomputing, Knowledge-Based Systems and Neural Computing and Applications.

In The Last Decade

André G. C. Pacheco

17 papers receiving 778 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
André G. C. Pacheco	346	273	258	99	97	20	816
Rajashree Dash	446 1.3×	419 1.5×	71 0.3×	36 0.4×	37 0.4×	51	907
Agnieszka Oniśko	225 0.7×	65 0.2×	190 0.7×	282 2.8×	39 0.4×	40	861
Rahul Nath	193 0.6×	71 0.3×	27 0.1×	73 0.7×	58 0.6×	34	721
Javier Sánchez‐Monedero	446 1.3×	35 0.1×	55 0.2×	44 0.4×	33 0.3×	35	884
Souad Larabi-Marie-Sainte	446 1.3×	36 0.1×	119 0.5×	51 0.5×	12 0.1×	38	785
Yehuda Vardi	268 0.8×	38 0.1×	34 0.1×	30 0.3×	14 0.1×	21	856
Holger Billhardt	308 0.9×	46 0.2×	85 0.3×	17 0.2×	30 0.3×	48	719
Matjaž Kukar	413 1.2×	26 0.1×	36 0.1×	36 0.4×	16 0.2×	36	961
Marwan Ali Albahar	417 1.2×	26 0.1×	166 0.6×	78 0.8×	33 0.3×	57	961
Hadi Akbarzadeh Khorshidi	320 0.9×	169 0.6×	11 0.0×	14 0.1×	97 1.0×	64	984

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

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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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