Marco Antonio Soares

1.4k citations
5 papers · 126 indexed · h-index 4
Topics
Business and Management Studies (2 papers)Natural Language Processing Techniques (2 papers)Topic Modeling (2 papers)
Journals
Journal of King Saud University - Computer and Information SciencesPesquisa Brasileira em Ciência da Informação e BiblioteconomiaBrazilian Journal of Information Science research trends
Partner nations
Brazil

In The Last Decade

Marco Antonio Soares

5 papers receiving 119 citations

Peers

Marco Antonio Soares
Comparison fields: 5 of 46
  • Artificial Intelligence 88
  • Information Systems 33
  • Computer Vision and Pattern Recognition 10
  • Management Science and Operations Research 10
  • Information Systems and Management 9
Replace Reinald Kim Amplayo with:
Reinald Kim Amplayo South Korea
Raghava Mutharaju United States
Shayne Longpre United States
Xin Rong United States
Giseli Rabello Lopes Brazil
Muthu Kumar Chandrasekaran Singapore
Michele Pasin United Kingdom
Nimesh Ghelani Canada
Danica Damljanović United Kingdom
Pavlos Vougiouklis United Kingdom
Marco Antonio Soares relative to Reinald Kim Amplayo South Korea Reinald Kim Amplayo's profile →
Citations per field
00.5×1.5×
Reinald Kim Amplayo · 1×
Citations per year

Countries citing papers authored by Marco Antonio Soares

Since Specialization
Citations

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

Fields of papers citing papers by Marco Antonio Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Antonio Soares. 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 Marco Antonio Soares. The network helps show where Marco Antonio Soares may publish in the future.

Co-authorship network of co-authors of Marco Antonio Soares

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Antonio Soares. A scholar is included among the top collaborators of Marco Antonio Soares 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 Marco Antonio Soares. Marco Antonio Soares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 3
2 6
3 4
4 110
5 3

About Marco Antonio Soares

Marco Antonio Soares is a scholar working on Information Systems and Management, Reproductive Medicine and Information Systems, having authored 5 papers that have together received 126 indexed citations. Recurring topics across this work include Business and Management Studies (2 papers), Natural Language Processing Techniques (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (88 citations), Information Systems (33 citations) and Information Systems and Management (9 citations). Marco Antonio Soares has collaborated with scholars based in Brazil. Frequent co-authors include Fernando Silva Parreiras. Their work appears in journals such as Journal of King Saud University - Computer and Information Sciences, Pesquisa Brasileira em Ciência da Informação e Biblioteconomia and Brazilian Journal of Information Science research trends.

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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