Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. Founded in 1986, it is the longest running journal dedicated to the study of algorithms, and continues to be a leading publication in the field. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential.

Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming.

In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.

  • Offers theoretical papers on that address practical problems, and experimental papers demonstrating practical importance or technique
  • Topics include VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools and more
  • Includes special sections on Application Experience, and open Problems

Journal information

Editor-in-Chief
  • Mohammad T. Hajiaghayi
Publishing model
Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

0.909 (2021)
Impact factor
0.959 (2021)
Five year impact factor
270 days
Submission to first decision (Median)
166,520 (2021)
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  1. Succinct Permutation Graphs

    Authors

    • Konstantinos Tsakalidis
    • Sebastian Wild
    • Viktor Zamaraev
    • Content type: OriginalPaper
    • Open Access
    • Published: 24 September 2022

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Electronic ISSN
1432-0541
Print ISSN
0178-4617
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