What's the best way to publish your algorithm research?

1 Choose your target audience

Before you start writing your algorithm paper, you need to decide who you are writing for. Different audiences have different expectations and preferences for algorithm research. For example, if you want to reach a broad and general audience, you might consider publishing your algorithm in a popular science magazine or a blog. If you want to reach a more specialized and academic audience, you might consider publishing your algorithm in a peer-reviewed journal or a conference proceeding. Depending on your target audience, you will have to adjust your writing style, level of detail, terminology, and citation format.

2 Follow the guidelines and standards

Once you have chosen your target audience and venue, you need to follow the guidelines and standards of that publication. Different publications have different requirements and criteria for algorithm research. For example, some publications might have strict word limits, formatting rules, submission deadlines, and review processes. Some publications might also have specific themes, scopes, or topics that they focus on. You should read the instructions and examples carefully and adhere to them as much as possible. You should also check the quality and reputation of the publication and avoid predatory or low-quality outlets.

3 Structure your paper clearly and logically

A good algorithm paper should have a clear and logical structure that guides the reader through your research. A common structure for algorithm papers includes an abstract, introduction, related work, algorithm, experiments, discussion, and conclusion. The abstract should concisely summarize the main problem, solution, contribution, and results. The introduction should provide a motivation and background of the problem, a description of the solution and contribution, and an overview of the paper. The related work section should review existing literature and algorithms that are relevant to the problem and solution, and compare/contrast your work with them. The algorithm section should explain your algorithm in detail using pseudocode, diagrams, or code blocks. Experiments should present the experimental setup, data, methods, and results using tables, charts, or graphs. The discussion should discuss findings, implications, limitations, and future work. Finally, the conclusion should summarize the main problem, solution, contribution, and results with a closing remark.

4 Write clearly and concisely

Writing clearly and concisely is essential for communicating your algorithm research effectively. You should use simple and precise language, avoid jargon and ambiguity, and explain any technical terms or acronyms. You should also use active voice, avoid passive voice, and use transitions and signposts to connect your sentences and paragraphs. You should also proofread and edit your paper carefully, check your grammar, spelling, punctuation, and style, and eliminate any errors or redundancies.

5 Cite your sources properly

Citing your sources properly is important for acknowledging your references, avoiding plagiarism, and supporting your claims. You should cite any sources that you use or refer to in your algorithm research, such as books, articles, websites, or code. You should use the citation format and style that your publication requires, such as APA, MLA, IEEE, or ACM. You should also use reliable and credible sources, and avoid using outdated or irrelevant sources.

6 Seek feedback and improve your paper

Seeking feedback and improving your paper is a crucial step for publishing your algorithm research. You should seek feedback from different sources, such as your peers, mentors, reviewers, or editors. You should also be open and responsive to the feedback, and use it to improve your paper. You should address any comments, questions, suggestions, or criticisms that you receive, and revise your paper accordingly. You should also be prepared to defend your paper and answer any queries that might arise during the publication process.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?