Institute of Mathematics and Computer Science

25.3k citations
1.6k papers ·

Impact in

Papers in

Institute of Mathematics and Computer Science

1.3k papers receiving 23.9k citations

Peers

Institute of Mathematics and Computer Science
Comparison fields: 5 of 236
  • Computational Theory and Mathematics 2.1k
  • Ophthalmology 947
  • Computer Vision and Pattern Recognition 2.1k
  • Numerical Analysis 520
  • Radiology, Nuclear Medicine and Imaging 1.9k
Replace Aurel Vlaicu University of Arad with:
Aurel Vlaicu University of Arad Romania
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Institute of Mathematics and Computer Science relative to Aurel Vlaicu University of Arad Romania Aurel Vlaicu University of Arad's profile →
Citations per field
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Citations per year

Countries citing scholars working at Institute of Mathematics and Computer Science

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Mathematics and Computer Science. 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 papers produced at Institute of Mathematics and Computer Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Mathematics and Computer Science more than expected).

Fields of papers published by authors at Institute of Mathematics and Computer Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Mathematics and Computer Science at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institute of Mathematics and Computer Science at the time of their publication.

About Institute of Mathematics and Computer Science

In recent decades, authors affiliated with Institute of Mathematics and Computer Science have published 1.6k papers, which have received a total of 25.3k indexed citations . Scholars at this organization have produced 196 papers in Computational Theory and Mathematics, 94 papers in Geometry and Topology, 28 papers in Software, 59 papers in Mathematical Physics and 216 papers in Artificial Intelligence on the topics of DNA and Biological Computing (134 papers), Advanced biosensing and bioanalysis techniques (99 papers), Modular Robots and Swarm Intelligence (62 papers), Cellular Automata and Applications (52 papers), Advanced Differential Equations and Dynamical Systems (40 papers), Algorithms and Data Compression (35 papers), Photodynamic Therapy Research Studies (33 papers) and semigroups and automata theory (31 papers). Their work is cited by papers focused on Computational Theory and Mathematics (2.1k citations), Ophthalmology (947 citations), Computer Vision and Pattern Recognition (2.1k citations), Numerical Analysis (520 citations) and Radiology, Nuclear Medicine and Imaging (1.9k citations). Authors at Institute of Mathematics and Computer Science collaborate with scholars in Moldova, Brazil and Poland and have published in prestigious journals including Scientific Reports, Photodiagnosis and Photodynamic Therapy, IEEE Access, Chemosphere and International Journal of Biological Macromolecules. Some of Institute of Mathematics and Computer Science's most productive authors include Michael Ben-Or, Eduardo Β. Ottoni, Tal Rabin, Artiom Alhazov, Roberto M. César, Fernando Mauro Lanças, J. J. G. Leandro, Herbert F. Jelinek, Michael J. Cree and João V. B. Soares.

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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