Jacob Montiel

679 total citations
13 papers, 73 citations indexed

About

Jacob Montiel is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Jacob Montiel has authored 13 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Signal Processing. Recurrent topics in Jacob Montiel's work include Data Stream Mining Techniques (11 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning and Data Classification (4 papers). Jacob Montiel is often cited by papers focused on Data Stream Mining Techniques (11 papers), Anomaly Detection Techniques and Applications (5 papers) and Machine Learning and Data Classification (4 papers). Jacob Montiel collaborates with scholars based in New Zealand, France and Brazil. Jacob Montiel's co-authors include Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Emanuele Della Valle, Saulo Martiello Mastelini, Talel Abdessalem, Jesse Read, Viktor Losing, Raja Chiky and Eibe Frank and has published in prestigious journals such as Journal of Machine Learning Research, Journal of the Royal Society of New Zealand and Research Commons (University of Waikato).

In The Last Decade

Jacob Montiel

12 papers receiving 70 citations

Peers

Jacob Montiel
Comparison fields: 5 of 28
  • Artificial Intelligence 58
  • Signal Processing 16
  • Information Systems 8
  • Computer Networks and Communications 7
  • Computer Vision and Pattern Recognition 7
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Karan Malik India
Jan Pfeifer United States
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Rajiv Mathews United States
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Yodsawalai Chodpathumwan United States
Julien Tourille France
Sebastiaan de Hoogh Netherlands
Mohammad Mahdi Kamani United States
Doug Strain United States
Karan Malik India View profile →
Citations per field, relative to Jacob Montiel
Jacob Montiel · 1×
Citations per year, relative to Jacob Montiel
Jacob Montiel · 1×

Countries citing papers authored by Jacob Montiel

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Montiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Montiel

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 4
2 0
3 2
4 3
5 1
6 3
7
New Zealand Open Environmental Science Data sets
1
8 1
9 16
10 32
11
Scikit-Multiflow: A Multi-output Streaming Framework
2
12 5
13 3

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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