Mara Abel

1.7k citations
80 papers · 1.0k · h-index 15

Impact in

Papers in

    • Semantic Web and Ontologies 47
    • Advanced Computational Techniques and Applications 8
    • Natural Language Processing Techniques 6
    • Biomedical Text Mining and Ontologies 21

Mara Abel

74 papers receiving 947 citations

Peers

Mara Abel
Comparison fields: 5 of 101
  • Artificial Intelligence 498
  • Information Systems 287
  • Industrial and Manufacturing Engineering 120
  • Signal Processing 71
  • Statistical and Nonlinear Physics 81
Replace Stefan Rüping with:
Stefan Rüping Germany
Yufei Wang China
Kenneth DeJong United States
Lam Thu Bui Vietnam
Zhiyong Liu China
Miloš Stojmenović Serbia
Yves Demazeau France
Mara Abel relative to Stefan Rüping Germany Stefan Rüping's profile →
Citations per field
00.5×4.3×
Stefan Rüping · 1×
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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2
Closed-loop separation control using machine learning
2015141
3 2013131
4 201443
5 199042
6 202339
7 202336
8 201930
9 201525
10 201121
11 201520
12 201320
13 201416
14 200315
15 200514
16 201314
17 201614
18 201414
19 201113
20 201812

About Mara Abel

Mara Abel is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 80 papers that have together received 1.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (47 papers), Biomedical Text Mining and Ontologies (21 papers), Service-Oriented Architecture and Web Services (8 papers), Data Management and Algorithms (8 papers), Geological Modeling and Analysis (8 papers), Advanced Computational Techniques and Applications (8 papers), Natural Language Processing Techniques (6 papers) and Digital Transformation in Industry (6 papers). The work is most often cited by research in Artificial Intelligence (498 citations), Information Systems (287 citations), Industrial and Manufacturing Engineering (120 citations), Signal Processing (71 citations) and Statistical and Nonlinear Physics (81 citations). Mara Abel has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Joel Luís Carbonera, Sean M. McNee, Roberto Torres, John Riedl, Joseph A. Konstan, Sandro Rama Fiorini, Bernd R. Noack, Marc Segond, Vitor A. M. Jorge and Edson Prestes. Their work appears in journals such as Expert Systems with Applications, Applied Ontology, Computers & Geosciences, Robotics and Computer-Integrated Manufacturing and Information and Software Technology.

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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