Heitor Murilo Gomes

3.4k total citations · 2 hit papers
71 papers, 2.0k citations indexed

About

Heitor Murilo Gomes is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Heitor Murilo Gomes has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 27 papers in Signal Processing and 13 papers in Computer Networks and Communications. Recurrent topics in Heitor Murilo Gomes's work include Data Stream Mining Techniques (51 papers), Anomaly Detection Techniques and Applications (26 papers) and Machine Learning and Data Classification (25 papers). Heitor Murilo Gomes is often cited by papers focused on Data Stream Mining Techniques (51 papers), Anomaly Detection Techniques and Applications (26 papers) and Machine Learning and Data Classification (25 papers). Heitor Murilo Gomes collaborates with scholars based in New Zealand, Brazil and France. Heitor Murilo Gomes's co-authors include Albert Bifet, Jean Paul Barddal, Fabrício Enembreck, Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Talel Abdessalem, João Gama, Luiz S. Oliveira and Silviu Maniu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Heitor Murilo Gomes

69 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Adaptive random forests for evolving data stream classification

2017 473 citations Heitor Murilo Gomes, Albert Bifet et al. Machine Learning profile →
A Survey on Ensemble Learning for Data Stream Classification

2017 395 citations Heitor Murilo Gomes, Jean Paul Barddal et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heitor Murilo Gomes New Zealand	19	1.6k	474	438	161	144	71	2.0k
Gianni D’Angelo Italy	22	529 0.3×	253 0.5×	450 1.0×	160 1.0×	157 1.1×	48	1.2k
Anna L. Buczak United States	14	1.6k 1.0×	1.0k 2.1×	1.9k 4.3×	540 3.4×	145 1.0×	42	2.8k
Yogesh Kumar India	27	683 0.4×	147 0.3×	272 0.6×	187 1.2×	121 0.8×	130	2.0k
Kamal Taha United Arab Emirates	18	483 0.3×	173 0.4×	331 0.8×	231 1.4×	162 1.1×	90	1.4k
Diego Furtado Silva Brazil	20	786 0.5×	689 1.5×	105 0.2×	73 0.5×	125 0.9×	54	1.5k
Guansong Pang Singapore	25	2.1k 1.4×	386 0.8×	950 2.2×	208 1.3×	80 0.6×	79	2.8k
Erhan Guven United States	6	1.2k 0.8×	818 1.7×	1.5k 3.4×	393 2.4×	91 0.6×	15	2.0k
Bernard Ženko Slovenia	15	532 0.3×	83 0.2×	79 0.2×	124 0.8×	48 0.3×	31	1.3k
Parikshit N. Mahalle India	20	520 0.3×	188 0.4×	692 1.6×	473 2.9×	151 1.0×	146	1.4k
Hosam Alhakami Saudi Arabia	21	473 0.3×	127 0.3×	428 1.0×	415 2.6×	214 1.5×	67	1.5k

Countries citing papers authored by Heitor Murilo Gomes

Since Specialization

Citations

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

Fields of papers citing papers by Heitor Murilo Gomes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heitor Murilo Gomes. 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 Heitor Murilo Gomes. The network helps show where Heitor Murilo Gomes may publish in the future.

Co-authorship network of co-authors of Heitor Murilo Gomes

This figure shows the co-authorship network connecting the top 25 collaborators of Heitor Murilo Gomes. A scholar is included among the top collaborators of Heitor Murilo Gomes 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 Heitor Murilo Gomes. Heitor Murilo Gomes 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:

20 of 20 papers shown

Gomes, Heitor Murilo, et al.. (2025). A Semi-Supervised Active Learning Neural Network for Data Streams With Concept Drift. IEEE Computational Intelligence Magazine. 20(1). 18–33.

Botacin, Marcus & Heitor Murilo Gomes. (2024). Cross-Regional Malware Detection via Model Distilling and Federated Learning. 97–113. 2 indexed citations

Botacin, Marcus & Heitor Murilo Gomes. (2024). Towards more realistic evaluations: The impact of label delays in malware detection pipelines. Computers & Security. 148. 104122–104122. 1 indexed citations

Gomes, Heitor Murilo & Albert Bifet. (2024). Practical Machine Learning for Streaming Data. 6418–6419. 3 indexed citations

Liu, Zhen, et al.. (2023). SeGDroid: An Android malware detection method based on sensitive function call graph learning. Expert Systems with Applications. 235. 121125–121125. 34 indexed citations

Botacin, Marcus, et al.. (2023). Machine Learning (In) Security: A Stream of Problems. arXiv (Cornell University). 5(1). 1–32. 12 indexed citations

Gomes, Heitor Murilo, et al.. (2022). A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams. ACM Computing Surveys. 55(4). 1–42. 38 indexed citations

Gomes, Heitor Murilo, et al.. (2022). An eager splitting strategy for online decision trees in ensembles. Data Mining and Knowledge Discovery. 36(2). 566–619. 7 indexed citations

Montiel, Jacob, Saulo Martiello Mastelini, Heitor Murilo Gomes, et al.. (2022). River: Machine learning for streaming data in python. Journal of Machine Learning Research. 22(110). 1–8. 2 indexed citations

10.

Gomes, Heitor Murilo, et al.. (2022). Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing. IEEE Transactions on Network and Service Management. 20(3). 3038–3054. 5 indexed citations

11.

Bifet, Albert, et al.. (2021). Data stream analysis: Foundations, major tasks and tools. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 11(3). 74 indexed citations

12.

Gomes, Heitor Murilo, Jesse Read, Albert Bifet, & Robert J. Durrant. (2021). Learning from evolving data streams through ensembles of random patches. Knowledge and Information Systems. 63(7). 1597–1625. 17 indexed citations

13.

Barddal, Jean Paul, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, & Bernhard Pfahringer. (2019). Boosting decision stumps for dynamic feature selection on data streams. Information Systems. 83. 13–29. 26 indexed citations

14.

Gomes, Heitor Murilo, Albert Bifet, Jesse Read, et al.. (2019). Correction to: Adaptive random forests for evolving data stream classification. Machine Learning. 108(10). 1877–1878. 9 indexed citations

15.

Grzenda, Maciej, Heitor Murilo Gomes, & Albert Bifet. (2019). Delayed labelling evaluation for data streams. Data Mining and Knowledge Discovery. 34(5). 1237–1266. 17 indexed citations

16.

Barddal, Jean Paul, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, & Bernhard Pfahringer. (2018). Merit-guided dynamic feature selection filter for data streams. Expert Systems with Applications. 116. 227–242. 34 indexed citations

17.

Gomes, Heitor Murilo, Albert Bifet, Jesse Read, et al.. (2017). Adaptive random forests for evolving data stream classification. Machine Learning. 106(9-10). 1469–1495. 473 indexed citations breakdown →

18.

Barddal, Jean Paul, Heitor Murilo Gomes, Fabrício Enembreck, & Bernhard Pfahringer. (2016). A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. Journal of Systems and Software. 127. 278–294. 82 indexed citations

19.

Barddal, Jean Paul, Heitor Murilo Gomes, Fabrício Enembreck, & Angéla Barthes. (2016). SNCStream+: Extending a high quality true anytime data stream clustering algorithm. Information Systems. 62. 60–73. 14 indexed citations

20.

Oliveira, Marcos Roberto de, Heitor Murilo Gomes, Luís P. Fonseca, et al.. (2003). Rapid detection of resistance against rifampicin in isolates of Mycobacterium tuberculosis from Brazilian patients using a reverse-phase hybridization assay. Journal of Microbiological Methods. 53(3). 335–342. 23 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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