Eduardo Soares

1.6k total citations · 1 hit paper
30 papers, 734 citations indexed

About

Eduardo Soares is a scholar working on Artificial Intelligence, Environmental Engineering and Plant Science. According to data from OpenAlex, Eduardo Soares has authored 30 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Environmental Engineering and 4 papers in Plant Science. Recurrent topics in Eduardo Soares's work include Anomaly Detection Techniques and Applications (6 papers), Hydrological Forecasting Using AI (3 papers) and COVID-19 diagnosis using AI (3 papers). Eduardo Soares is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Hydrological Forecasting Using AI (3 papers) and COVID-19 diagnosis using AI (3 papers). Eduardo Soares collaborates with scholars based in Brazil, United Kingdom and United States. Eduardo Soares's co-authors include Plamen Angelov, Peter M. Atkinson, Richard Jiang, Bruno Sielly Jales Costa, Daniel Leite, Pyramo Costa, Xiaowei Gu, Subramanya Nageshrao, Dimitar Filev and Heloisa A. Camargo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Fuzzy Systems and Applied Soft Computing.

In The Last Decade

Eduardo Soares

28 papers receiving 707 citations

Hit Papers

Explainable artificial intelligence: an analytical review 2021 2026 2022 2024 2021 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Explainable artificial intelligence: an analytical review
    2021 425 citations Plamen Angelov, Eduardo Soares et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduardo Soares Brazil 8 354 73 57 51 51 30 734
Indro Spinelli Italy 7 435 1.2× 83 1.1× 36 0.6× 84 1.6× 53 1.0× 10 939
Eduardo M. Pereira Portugal 4 601 1.7× 87 1.2× 55 1.0× 89 1.7× 39 0.8× 8 1.0k
Khan Muhammad South Korea 6 402 1.1× 83 1.1× 38 0.7× 134 2.6× 59 1.2× 11 811
Nadia Burkart Germany 4 354 1.0× 40 0.5× 30 0.5× 31 0.6× 20 0.4× 7 593
Vadim Borisov Russia 9 223 0.6× 55 0.8× 28 0.5× 11 0.2× 20 0.4× 48 652
Marius Lindauer Germany 12 492 1.4× 74 1.0× 77 1.4× 10 0.2× 20 0.4× 35 939
Md. Sakib Bin Alam Bangladesh 8 194 0.5× 79 1.1× 34 0.6× 17 0.3× 44 0.9× 20 731
Mahendra Kumar Gourisaria India 15 269 0.8× 138 1.9× 28 0.5× 15 0.3× 84 1.6× 147 885
Bhushankumar Nemade India 10 195 0.6× 163 2.2× 16 0.3× 15 0.3× 55 1.1× 27 808
Rajeswari Chengoden India 11 211 0.6× 81 1.1× 13 0.2× 40 0.8× 40 0.8× 15 732

Countries citing papers authored by Eduardo Soares

Since Specialization
Citations

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

Fields of papers citing papers by Eduardo Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduardo Soares

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

All Works

20 of 20 papers shown
1.
Soares, Eduardo, et al.. (2025). A Mamba-based foundation model for materials. 1(1). 5 indexed citations
2.
Soares, Eduardo, et al.. (2025). An open-source family of large encoder-decoder foundation models for chemistry. Communications Chemistry. 8(1). 193–193. 4 indexed citations
3.
Soares, Eduardo, et al.. (2025). Multi-view mixture-of-experts for predicting molecular properties using SMILES, SELFIES, and graph-based representations. Machine Learning Science and Technology. 6(2). 25070–25070. 3 indexed citations
4.
Soares, Eduardo, et al.. (2025). Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks. Machine Learning Science and Technology. 6(1). 15017–15017.
5.
Soares, Eduardo, et al.. (2025). Processing and Shelf Life of Cold Brew Organic Coffee. Processes. 13(1). 243–243. 1 indexed citations
6.
Zohair, Murtaza, et al.. (2025). Chemical foundation model-guided design of high ionic conductivity electrolyte formulations. npj Computational Materials. 11(1). 1 indexed citations
7.
Soares, Eduardo, et al.. (2024). An explainable approach to deep learning from CT-scans for Covid identification. Evolving Systems. 15(6). 2159–2168.
8.
Soares, Eduardo, et al.. (2023). A large multiclass dataset of CT scans for COVID-19 identification. Evolving Systems. 15(2). 635–640. 12 indexed citations
9.
Soares, Eduardo, et al.. (2022). Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. Lancaster EPrints (Lancaster University). 1028–1035. 6 indexed citations
10.
Angelov, Plamen, et al.. (2022). An Interpretable Deep Semantic Segmentation Method for Earth Observation. 1–8. 7 indexed citations
11.
Soares, Eduardo, et al.. (2021). Apenas uma postagem? previsões de vendas diárias de empresas varejistas de beleza e cosmético a partir da influência de mídias sociais. ReMark - Revista Brasileira de Marketing. 20(4). 241–266. 2 indexed citations
12.
Angelov, Plamen, et al.. (2021). Explainable artificial intelligence: an analytical review. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 11(5). 425 indexed citations breakdown →
13.
Soares, Eduardo, et al.. (2020). Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Transactions on Fuzzy Systems. 29(8). 2399–2407. 33 indexed citations
14.
Soares, Eduardo, et al.. (2020). #FIQUEEMCASA: ANÁLISE DE SENTIMENTO DOS USUÁRIOS DO TWITTER EM RELAÇÃO AO COVID19. SHILAP Revista de lepidopterología. 5. 1–20. 1 indexed citations
15.
Soares, Eduardo, Plamen Angelov, & Xiaowei Gu. (2020). Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Applied Soft Computing. 94. 106449–106449. 35 indexed citations
16.
Soares, Eduardo, et al.. (2019). AVALIAÇÃO DO REAPROVEITAMENTO DE RESÍDUOS VEGETAIS NA PRODUÇÃO DE ALFACE, VISANDO O AUMENTO DE ATRIBUTOS BIOMÉTRICOS. SHILAP Revista de lepidopterología. 14(4). 6–6. 3 indexed citations
17.
Soares, Eduardo, et al.. (2019). Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. Lancaster EPrints (Lancaster University). 1–8. 10 indexed citations
18.
Soares, Eduardo, et al.. (2019). Características físico-químicas e sensoriais de sumo de cana-de-açúcar. Scientific Repository of Open Access of Portugal (RCAAP). 41(4). 1107–1114. 1 indexed citations
19.
Soares, Eduardo, et al.. (2018). Artificial Intelligence in Automated Sorting in Trash Recycling. 198–205. 66 indexed citations
20.
Pierucci, Anna Paola Trindade Rocha, et al.. (2000). Elaboration of a high carbohydrate supplement for endurance athletes. Alimentaria. 37(318). 81–89. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Indro Spinelli Breakdown of academic impact, for papers by Eduardo M. Pereira Breakdown of academic impact, for papers by Khan Muhammad Breakdown of academic impact, for papers by Nadia Burkart Breakdown of academic impact, for papers by Vadim Borisov Breakdown of academic impact, for papers by Marius Lindauer Breakdown of academic impact, for papers by Md. Sakib Bin Alam Breakdown of academic impact, for papers by Mahendra Kumar Gourisaria Breakdown of academic impact, for papers by Bhushankumar Nemade Breakdown of academic impact, for papers by Rajeswari Chengoden
Rankless by CCL
2026