Mara Abel

1.7k citations
98 papers · 1.3k · h-index 17

Impact in

Papers in

    • Semantic Web and Ontologies 55
    • Advanced Computational Techniques and Applications 9
    • Natural Language Processing Techniques 8
    • Biomedical Text Mining and Ontologies 27

Mara Abel

91 papers receiving 1.2k citations

Peers

Mara Abel
Comparison fields: 5 of 110
  • Artificial Intelligence 653
  • Information Systems 367
  • Industrial and Manufacturing Engineering 143
  • Statistical and Nonlinear Physics 107
  • Geochemistry and Petrology 45
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Citations per field
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Citations per year

Countries citing papers authored by Mara Abel

Since Specialization
Citations

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

Fields of papers citing papers by Mara Abel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mara Abel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mara Abel Line = papers co-authored together Mara Abel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004198
2
Closed-loop separation control using machine learning
2015160
3 2013151
4 201452
5 199048
6 202341
7 202340
8 201934
9 201531
10 201125
11 201324
12 201520
13 201619
14 200319
15 201418
16 201317
17 201416
18 200515
19 201814
20 201013

About Mara Abel

Mara Abel is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (55 papers), Biomedical Text Mining and Ontologies (27 papers), Data Management and Algorithms (12 papers), Recommender Systems and Techniques (10 papers), Advanced Computational Techniques and Applications (9 papers), Service-Oriented Architecture and Web Services (8 papers), Natural Language Processing Techniques (8 papers) and Geological Modeling and Analysis (8 papers). The work is most often cited by research in Artificial Intelligence (653 citations), Information Systems (367 citations), Industrial and Manufacturing Engineering (143 citations), Statistical and Nonlinear Physics (107 citations) and Geochemistry and Petrology (45 citations). Mara Abel has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Joel Luís Carbonera, John Riedl, Joseph A. Konstan, Roberto Torres, Sean M. McNee, Sandro Rama Fiorini, Bernd R. Noack, Marc Segond, Claiton Marlon dos Santos Scherer and Edson Prestes. Their work appears in journals such as Expert Systems with Applications, Applied Ontology, Computers & Geosciences, Robotics and Computer-Integrated Manufacturing and Lecture notes in computer science.

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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