Sarajane Marques Peres
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 17
- Management Information Systems top 10%
- Business Process Modeling and Analysis 20
- Big Data and Business Intelligence 8
- Artificial Intelligence top 10%
- Topic Modeling 7
- Neural Networks and Applications 6
- Signal Processing top 10%
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- Hearing Impairment and Communication 13
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- Data Quality and Management 8
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- Service-Oriented Architecture and Web Services 6
- Co-authors
- Clodoaldo A. M. LimaMarcelo FantinatoPatrick C. K. HungLaura RaffertyHajo A. ReijersClodis BoscarioliFarkhund IqbalAndré L. V. Coelho
- Journals
- SHILAP Revista de lepidopterología (2 papers)Expert Systems with Applications (1 paper)Neural Computing and Applications (1 paper)
In The Last Decade
Sarajane Marques Peres
77 papers receiving 471 citations
Peers
Comparison fields: 5 of 89
- Human-Computer Interaction 103
- Management Information Systems 83
- Artificial Intelligence 188
- Computer Vision and Pattern Recognition 108
- Signal Processing 51
Countries citing papers authored by Sarajane Marques Peres
This map shows the geographic impact of Sarajane Marques Peres'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 Sarajane Marques Peres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarajane Marques Peres more than expected).
Fields of papers citing papers by Sarajane Marques Peres
This network shows the impact of papers produced by Sarajane Marques Peres. 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 Sarajane Marques Peres. The network helps show where Sarajane Marques Peres may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarajane Marques Peres, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 0 | |
| 16 | 2017 | 4 | |
| 17 | 2017 | 38 | |
| 18 | 2015 | 9 | |
| 19 | 2013 | 36 | |
| 20 | Experiências na área de engenharias e ciências aplicadas | 2010 | 0 |
About Sarajane Marques Peres
Sarajane Marques Peres is a scholar working on Human-Computer Interaction, Management Information Systems and Artificial Intelligence, having authored 91 papers that have together received 492 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (20 papers), Hand Gesture Recognition Systems (17 papers), Hearing Impairment and Communication (13 papers), Big Data and Business Intelligence (8 papers), Data Quality and Management (8 papers), Topic Modeling (7 papers), Service-Oriented Architecture and Web Services (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Human-Computer Interaction (103 citations), Management Information Systems (83 citations) and Artificial Intelligence (188 citations). Sarajane Marques Peres has collaborated with scholars based in Brazil, Peru and Canada. Frequent co-authors include Clodoaldo A. M. Lima, Marcelo Fantinato, Patrick C. K. Hung, Laura Rafferty, Hajo A. Reijers, Clodis Boscarioli, Farkhund Iqbal, André L. V. Coelho, Sy‐Yen Kuo and Shih-Chia Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.