Graça Bressan

1.0k total citations
63 papers, 679 citations indexed

About

Graça Bressan is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Graça Bressan has authored 63 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 23 papers in Sociology and Political Science and 19 papers in Computer Networks and Communications. Recurrent topics in Graça Bressan's work include Multimedia Communication and Technology (16 papers), Image and Video Quality Assessment (15 papers) and Video Analysis and Summarization (7 papers). Graça Bressan is often cited by papers focused on Multimedia Communication and Technology (16 papers), Image and Video Quality Assessment (15 papers) and Video Analysis and Summarization (7 papers). Graça Bressan collaborates with scholars based in Brazil, United States and Italy. Graça Bressan's co-authors include Demóstenes Zegarra Rodríguez, Renata Lopes Rosa, Júlia Issy Abrahão, Renata Lopes Rosa, Luciana Zaina, Zhou Wang, Wilson Vicente Ruggiero, Eduardo Costa, José F. Rodrigues and João Moreno and has published in prestigious journals such as IEEE Access, Sensors and Computer Communications.

In The Last Decade

Graça Bressan

57 papers receiving 622 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Graça Bressan Brazil	14	279	177	164	153	139	63	679
Kuan‐Ta Chen Taiwan	16	488 1.7×	147 0.8×	278 1.7×	120 0.8×	160 1.2×	30	844
Jiuxin Cao China	19	157 0.6×	430 2.4×	120 0.7×	412 2.7×	69 0.5×	104	940
Mirza Omer Beg Pakistan	16	128 0.5×	504 2.8×	198 1.2×	211 1.4×	103 0.7×	46	871
Craig W. Thompson United States	13	92 0.3×	215 1.2×	62 0.4×	130 0.8×	72 0.5×	42	581
Imad Fakhri Taha Alshaikhli Malaysia	14	180 0.6×	178 1.0×	126 0.8×	114 0.7×	28 0.2×	102	625
Jonathan I. Helfman United States	12	311 1.1×	136 0.8×	78 0.5×	199 1.3×	70 0.5×	27	737
Alon Zakai Israel	9	116 0.4×	298 1.7×	108 0.7×	144 0.9×	18 0.1×	12	678
Brian Amento United States	15	202 0.7×	319 1.8×	130 0.8×	541 3.5×	158 1.1×	24	1.0k
Anupam Das United States	15	217 0.8×	371 2.1×	489 3.0×	590 3.9×	199 1.4×	36	1.1k
Thomas Ottmann Germany	15	190 0.7×	118 0.7×	80 0.5×	65 0.4×	93 0.7×	71	630

Countries citing papers authored by Graça Bressan

Since Specialization

Citations

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

Fields of papers citing papers by Graça Bressan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graça Bressan. 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 Graça Bressan. The network helps show where Graça Bressan may publish in the future.

Co-authorship network of co-authors of Graça Bressan

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

All Works

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20 of 20 papers shown

Bressan, Graça, et al.. (2024). NSSF Function in 6G Networks Based on MLOps Deployment Model. 1–6.

Cugnasca, Carlos Eduardo, et al.. (2023). OpenCare5G: O-RAN in Private Network for Digital Health Applications. Sensors. 23(2). 1047–1047. 10 indexed citations

Bressan, Graça, et al.. (2022). 5G Network Slice Selector in IoT Services Scenarios with QoS Requirements Guarantee. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 90–95. 5 indexed citations

Gutierrez, José, et al.. (2020). REAL-TIME HEAD POSE ESTIMATION WITH SVM MODEL FOR FRONTAL FACE CLASSIFICATION. 63–67. 2 indexed citations

Gutierrez, José, et al.. (2019). Development of a naive bayes classifier for image quality assessment in biometric face images. 177–180.

Rosa, Renata Lopes, et al.. (2017). Age Groups Classification in Social Network Using Deep Learning. IEEE Access. 5. 10805–10816. 68 indexed citations

Rodríguez, Demóstenes Zegarra, et al.. (2016). Voice quality assessment in mobile devices considering different fading models. 21–22. 18 indexed citations

Rosa, Renata Lopes, et al.. (2016). Monitoring system for potential users with depression using sentiment analysis. 381–382. 11 indexed citations

Rodríguez, Demóstenes Zegarra, et al.. (2016). Video Quality Metric for Streaming Service Using DASH Standard. IEEE Transactions on Broadcasting. 62(3). 628–639. 50 indexed citations

10.

Rodríguez, Demóstenes Zegarra, Renata Lopes Rosa, & Graça Bressan. (2013). Predicting the Quality Level of a VoIP Communication through Intelligent Learning Techniques. 42–47. 5 indexed citations

11.

Rosa, Renata Lopes, Demóstenes Zegarra Rodríguez, & Graça Bressan. (2013). SentiMeter-Br: A new social web analysis metric to discover consumers' sentiment. 153–154. 24 indexed citations

12.

Rosa, Renata Lopes, Demóstenes Zegarra Rodríguez, & Graça Bressan. (2013). SentiMeter-Br: A Social Web Analysis Tool to Discover Consumers' Sentiment. 122–124. 25 indexed citations

13.

Rosa, Renata Lopes, et al.. (2012). ANALYSIS OF ONLINE SURVEY SERVICES FOR MARKETING RESEARCH. International Journal of Electronic Commerce Studies. 3(1). 135–144. 5 indexed citations

14.

Rodríguez, Demóstenes Zegarra & Graça Bressan. (2012). Video Quality Assessments on Digital TV and Video Streaming services using Objective Metrics. IEEE Latin America Transactions. 10(1). 1184–1189. 12 indexed citations

15.

Bressan, Graça, et al.. (2011). Classroom mediated by technology model: A new proposal for education to remote regions of the Amazon. 1. F1G–1. 2 indexed citations

16.

Rosa, Renata Lopes, Demóstenes Zegarra Rodríguez, Vicente A. de Sousa, & Graça Bressan. (2011). Recommendation system based on user profile extracted from an IMS network with emphasis on social network and digital TV. 40–47. 2 indexed citations

17.

Zaina, Luciana, José F. Rodrigues, & Graça Bressan. (2010). An approach to design the student interaction based on the recommendation of e-learning objects. 223–228. 7 indexed citations

18.

Bressan, Graça, et al.. (2006). Simulação do serviço de correio eletrônico através de um modelo de filas. Pesquisa Operacional. 26(2). 241–253. 3 indexed citations

19.

Bressan, Graça, et al.. (2003). Generalized MPLS - an overview. 435–442 vol.2.

20.

Zaina, Luciana, Graça Bressan, & Wilson Vicente Ruggiero. (2002). Tool to develop and apply objective tests. 1 indexed citations

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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