Skill UI

This guide provides comprehensive best practices for authors to enhance the reproducibility of technical research papers (especially in networking and computer science). It covers documenting proofs, pinning simulation setups, reporting parameters, and best practices for releasing code and datasets, transforming a paper from a claim into a verifiable scientific artifact.

A detailed guide to the INFOCOM conference submission and review pipeline. It explains the large-scale, TPC-driven process, including automated assignment, the critical early-reject screening phase, and how the lack of a traditional author rebuttal impacts defense writing. Essential reading for authors aiming to publish in top-tier networking venues.

This comprehensive guide helps researchers determine the most appropriate venue for their networking research paper. It distinguishes between major conferences like INFOCOM (broad, analytical/optimization), ACM SIGCOMM (built systems, deployment story), and USENIX NSDI (artifact-heavy systems). Use it to route your work correctly before drafting.

A comprehensive guide for revising technical papers submitted to top-tier networking conferences (like INFOCOM). It emphasizes structural rigor, defensive writing techniques, pairing every claim with proportional evidence, and adhering strictly to page limitations to proactively address reviewer objections before the rebuttal phase.

This skill helps authors determine if their manuscript is suitable for the International Conference for High Performance Computing, Networking, Storage and Analysis (SC). It provides comprehensive guidelines on framing the work, establishing the evidence bar (requiring scale, performance portability, and systems impact), and positioning the contribution for a top-tier HPC flagship venue. Use it for strategic venue selection and manuscript re-framing.

A comprehensive framework for strengthening International Relations (IR) manuscripts, particularly for top-tier journals. It guides researchers through rigorous design requirements, including causal identification in dyadic/network data, structured case selection and process tracing, experimental planning (surveys/conjoint), and formal-empirical linkages. The focus is on ruling out rival explanations and establishing robust empirical claims.

A comprehensive guide for authors submitting research to sensor network and information processing conferences. It instructs authors on how to write the 'Related Work' section by focusing on 'delta-first contrast' rather than simple citation listing, ensuring novelty is measured against both system-level and theoretical prior art.

This comprehensive aid helps researchers determine the suitability of their surgical trials, outcomes studies, or perioperative research for JAMA Surgery. It details required scientific rigor, including comparative, patient-centered outcomes, robust risk adjustment, and advanced statistical methods. It also covers specific reporting standards (CONSORT, STROBE, PRISMA) and the current JAMA Network house style, ensuring manuscripts are submission-ready.

A comprehensive guide for developing robust conceptual frameworks for top-tier marketing academic manuscripts. This tool helps researchers move beyond simple hypothesis application by specifying detailed nomological networks, identifying mediating mechanisms (processes), and defining boundary conditions (moderators). It ensures the theoretical logic is sound and directly links theory to managerial implications, meeting the rigorous standards of academic publishing.

This comprehensive guide provides advanced methodological strategies for authors submitting to the Journal of Economic Geography (JEG). It addresses critical challenges in establishing causal inference using spatial data, such as spatial autocorrelation, spillover effects (SUTVA violations), and structural elasticity identification. It covers modern techniques for spatial DID, Network Equilibrium Models (NEG), and qualitative case studies, ensuring methodological rigor.

This guide provides comprehensive standards for conducting and presenting experimental evidence in high-level communication journals (JOC). It emphasizes moving beyond simple results to ensure statistical rigor, reproducibility, and comprehensive coverage of physical layer, network, and security aspects, helping submissions withstand expert peer review.

This guide models the three-stage review process for the Journal on Communications (JOC). It helps authors understand the initial screening (format, relevance, plagiarism), expert peer review, and final committee review. By predicting potential outcomes and identifying strategic 'levers' at each stage, users can effectively revise manuscripts, manage submission timelines, and significantly increase the chances of successful publication in communication, networking, or information security fields.