Everaldo Aguiar

506 total citations
10 papers, 275 citations indexed

About

Everaldo Aguiar is a scholar working on Artificial Intelligence, Education and Computer Science Applications. According to data from OpenAlex, Everaldo Aguiar has authored 10 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Education and 4 papers in Computer Science Applications. Recurrent topics in Everaldo Aguiar's work include Online Learning and Analytics (4 papers), Innovations in Educational Methods (2 papers) and Cryptography and Data Security (2 papers). Everaldo Aguiar is often cited by papers focused on Online Learning and Analytics (4 papers), Innovations in Educational Methods (2 papers) and Cryptography and Data Security (2 papers). Everaldo Aguiar collaborates with scholars based in United States. Everaldo Aguiar's co-authors include Himabindu Lakkaraju, David P. Miller, Nasir H. Bhanpuri, Nitesh V. Chawla, Gavin Ambrose, Jay Brockman, Marina Blanton, Rayid Ghani and Ben Yuhas and has published in prestigious journals such as International Journal of Information Security, Journal of Learning Analytics and Figshare.

In The Last Decade

Everaldo Aguiar

10 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Everaldo Aguiar United States	7	169	125	62	38	31	10	275
Drahomíra Herrmannová United States	8	126 0.7×	104 0.8×	44 0.7×	45 1.2×	21 0.7×	26	264
Marcell Nagy Hungary	7	140 0.8×	73 0.6×	29 0.5×	17 0.4×	17 0.5×	15	210
Mewati Ayub Indonesia	10	144 0.9×	104 0.8×	28 0.5×	121 3.2×	22 0.7×	47	281
Alfred Essa United States	7	195 1.2×	68 0.5×	62 1.0×	34 0.9×	18 0.6×	17	236
Asmaa Elbadrawy United States	6	201 1.2×	142 1.1×	32 0.5×	126 3.3×	41 1.3×	8	276
Samira ElAtia Canada	5	165 1.0×	98 0.8×	60 1.0×	59 1.6×	33 1.1×	15	240
Nisha S. Raj India	7	140 0.8×	95 0.8×	32 0.5×	94 2.5×	10 0.3×	16	238
Arham Muslim Germany	9	164 1.0×	64 0.5×	51 0.8×	53 1.4×	31 1.0×	16	246
M. Anbarasan India	4	39 0.2×	127 1.0×	49 0.8×	70 1.8×	20 0.6×	7	210
Mohamed Hafidi Algeria	7	82 0.5×	72 0.6×	99 1.6×	93 2.4×	21 0.7×	35	243

Countries citing papers authored by Everaldo Aguiar

Since Specialization

Citations

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

Fields of papers citing papers by Everaldo Aguiar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Everaldo Aguiar

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Aguiar, Everaldo. (2022). Identifying Students at Risk and Beyond: A Machine Learning Approach. Figshare. 1 indexed citations

2.

Aguiar, Everaldo, et al.. (2020). Integration of ePortfolios in a First-Year Engineering Course for Measuring Student Engagement. Papers on Engineering Education Repository (American Society for Engineering Education). 24.785.1–24.785.16. 1 indexed citations

3.

Aguiar, Everaldo, et al.. (2015). Predicting online video engagement using clickstreams. 1–10. 9 indexed citations

4.

Blanton, Marina & Everaldo Aguiar. (2015). Private and oblivious set and multiset operations. International Journal of Information Security. 15(5). 493–518. 14 indexed citations

5.

Lakkaraju, Himabindu, et al.. (2015). A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes. 1909–1918. 114 indexed citations

6.

Aguiar, Everaldo, et al.. (2015). Who, when, and why. 93–102. 36 indexed citations

7.

Aguiar, Everaldo, et al.. (2015). Qualitatively exploring electronic portfolios. 422–423. 4 indexed citations

8.

Aguiar, Everaldo, et al.. (2014). Engagement vs performance. 103–112. 46 indexed citations

9.

Aguiar, Everaldo, et al.. (2014). Engagement vs Performance: Using Electronic Portfolios to Predict First Semester Engineering Student Persistence. Journal of Learning Analytics. 1(3). 7–33. 33 indexed citations

10.

Blanton, Marina & Everaldo Aguiar. (2012). Private and oblivious set and multiset operations. Figshare. 40–41. 17 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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