Information Processing Letters is a peer reviewed scientific journal in the field of computer science, published by Elsevier. The aim of the journal is to enable fast dissemination of results in the field of information processing in the form of short papers. Submissions are limited to nine double-spaced pages. The scope of IPL covers fundamental aspects of information processing and computing. This naturally covers topics in the broadly understood field of theoretical computer science, including algorithms, formal languages and automata, computational complexity, computational logic, distributed and parallel algorithms, computational geometry, learning theory, computational number theory, computational biology, coding theory, theoretical cryptography, and applied discrete mathematics. Generally, submissions in all areas of scientific inquiry are considered, provided that they describe research contributions credibly motivated by applications to computing and involve rigorous methodology. High quality experimental papers that address topics of sufficiently broad interest are also considered. IPL implements a 3-tier review process. Each submission is assigned to an associate editor, who determines whether it falls within IPL's scope and meets basic quality criteria. On average, about 60% of submissions are desk-rejected by associate editors. Submissions determined to be suitable for further review are distributed between the members of the editorial board, who handle the review process, which typically involves soliciting external reviews from 2-3 experts in the area. Between 2017 and 2020, the overall acceptance rate in IPL averaged 20-25%.

Established in 1971, IPL is one of the oldest journals in computer science. In its now over 50-year old history, IPL has published research contributions from leading figures in computer science research, including multiple Turing Award winners: Alan Perlis, Edsger Dijkstra, Donald Knuth, Robert Floyd, Stephen Cook, Niklaus Wirth, Richard Karp, John Hopcroft, Robert Tarjan, Ronald Rivest, Edmund Clarke, Judea Perl, Sylvio Micali, and Leslie Lamport. Among its earlier, pre-1990 articles, its list of influential papers includes the following. Algorithms and data structures are central to computer science.[8] The theory of computation concerns abstract models of computation and general classes of problems that can be solved using them. The fields of cryptography and computer security involve studying the means for secure communication and for preventing security vulnerabilities. Computer graphics and computational geometry address the generation of images. Programming language theory considers different ways to describe computational processes, and database theory concerns the management of repositories of data. Human–computer interaction investigates the interfaces through which humans and computers interact, and software engineering focuses on the design and principles behind developing software. Areas such as operating systems, networks and embedded systems investigate the principles and design behind complex systems. Computer architecture describes the construction of computer components and computer-operated equipment. Artificial intelligence and machine learning aim to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, planning and learning found in humans and animals. Within artificial intelligence, computer vision aims to understand and process image and video data, while natural language processing aims to understand and process textual and linguistic data. The earliest foundations of what would become computer science predate the invention of the modern digital computer. Machines for calculating fixed numerical tasks such as the abacus have existed since antiquity, aiding in computations such as multiplication and division. Algorithms for performing computations have existed since antiquity, even before the development of sophisticated computing equipment.

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John Gresham  
journal coordinator
international journal of innovative research in computer and communication engineering