Skill UI

A comprehensive guide for authors on how to position their computational or methodological contributions when submitting to the INFORMS Journal on Computing (IJOC). It emphasizes the critical need to advance against two distinct frontiers simultaneously: the Operations Research/Mathematical Science problem domain, and the core computing methodology. Use this when reviewer feedback questions the novelty or when your work straddles OR and CS boundaries.

This guide provides detailed instructions for authors on structuring the Related Work section for ACM IMC papers. It emphasizes that related work must cover not only prior claims but critically analyze prior datasets, vantage points, tools, and methodologies. It teaches techniques like delta-first positioning and proper venue attribution to demonstrate deep domain expertise and avoid common academic pitfalls.

This guide ensures that the chosen research methodology genres (e.g., behavioral empirical, analytical modeling, design science) are correctly aligned with the core research claim or phenomenon. It helps researchers identify the necessary design rigor, appropriate identification strategies (like DiD or IV), and the level of analysis required to ensure the study can genuinely support its contribution in the IS domain.

This guide helps researchers determine the optimal conference or journal venue for their software engineering contribution. It specifically addresses whether the core of the work is a testing or analysis technique evaluated on real subjects (ISSTA), or if it fits better within broader Software Engineering (ICSE/FSE), formal verification (PLDI/CAV), or applied domains.

This guide assists researchers in transforming vague datasets or observations into robust, positive, and economics-driven research questions suitable for prestigious accounting journals (like JAE). It teaches key concepts, such as identifying economic friction, distinguishing between normative and positive questions, establishing plausible identification strategies, and mapping the topic to specific academic domains.

This guide provides expert advice on structuring the literature review for top-tier finance journals (e.g., JFE). It teaches authors to move beyond simple chronological listing, instead mapping the core academic debates, pinpointing the exact boundaries of the closest existing work, and articulating concrete, theoretically motivated gaps that the new research fills. This is essential for convincing domain experts of novel contribution.

This guide provides a sophisticated methodology for authors to strategically position their academic research within the field of international marketing. It teaches how to identify the core scholarly conversation, pinpoint specific knowledge gaps (vacancies), and structure the manuscript to ensure the contribution is novel, necessary, and impactful to the domain.

This comprehensive guide serves as the final preflight checklist for submitting manuscripts to The Lancet. It ensures that the submission meets stringent requirements across various domains, including global importance, ethical declarations, statistical reporting, structured abstract formatting, and adherence to specific reporting guidelines (e.g., CONSORT, PRISMA). It acts as a crucial gatekeeping step before actual submission.

These guidelines provide best practices for creating self-contained, rigorous, and ethically sound tables, figures, and exhibits for academic manuscripts, particularly within the New Media & Society domain. It covers various exhibit types, including quote-to-claim tables and network diagrams, emphasizing anonymization, showing uncertainty, and adhering to strict word count limits.

This skill provides comprehensive guidance for positioning computer graphics, visualization, and geometric computing manuscripts for the Pacific Graphics conference. It covers conference fit evaluation, necessary framing adjustments, evidence bar construction, and strategic advice for maximizing submission success in the Asia-Pacific visual computing domain. Ideal for authors needing to refine their paper's focus for a selective CS venue.

This comprehensive guide assists authors in assessing whether their manuscript, focusing on condensed matter or materials physics, is appropriate for Physical Review B (PRB). It details the journal's specific scope, the required scientific rigor (e.g., computational transparency, experimental characterization), and the house style for maximizing submission success within this specialized academic domain.

This guide assists researchers in determining the topic suitability, appropriate format (research paper, review, special issue), and correct academic placement for manuscripts targeting 'Pattern Recognition and Artificial Intelligence' (PR&AI). It outlines the journal's focused scope across core AI domains like ML, CV, and NLP, helping authors avoid common submission pitfalls and ensuring their contribution has sufficient originality and academic depth.