Best AI Tools: AnswerThis || Research Gap, Chat with Papers, Bibliometric Analysis and Paraphraser

AnswerThis is positioned as a research productivity suite that turns uploaded papers into interactive outputs—extracting citations and synthesizing research gaps—then extends that workflow with gap-finding, bibliometric (citation) analysis, and AI paraphrasing. The core value is speed: instead of manually reading and compiling information from multiple papers, researchers can upload PDFs to a library, reorganize them, and query them directly.

The first major feature, “Chat with PDF,” works by letting users select one or more uploaded documents and ask questions tied to research needs. After selecting papers, a query such as “the research gap of this work” produces a structured response. That answer includes multiple gap categories rather than a single-line summary: a primary research gap, additional gaps tied to what related work is missing, and notes about why the gap exists—such as whether the response is not merely reusing information from other papers. It also flags practical constraints like computational complexity and feasibility, including questions of scalability. Finally, it surfaces limitations associated with the classifier or method used in the paper, and it provides citation information for the extracted material. The output isn’t limited to short snippets; it’s presented as a fuller paragraph that can be used for literature review writing, with the option to keep asking follow-up questions while staying grounded in the selected documents.

Next comes “Research Gap Finder,” aimed at generating gap-and-direction guidance for a specific topic. Users input a topic (the example given is “sleep apnea classification and methods used”), and the tool returns a structured set of headings and subheadings. It identifies which classification methods are being used (including feature extraction, selection, and whether the approach leans on machine learning or deep learning), cross-references the relevant papers, and points to an “unexplored area” where further work could be directed. The workflow also supports downloading the results in file formats such as PDF and Word.

A third capability, “Bibliometric Analysis” (referred to as “diplomatic analysis” in the transcript), supports literature review at the citation-network and publication-trend level. Users can choose a journal scope (the example mentions selecting “All Scopus” journals) and run analysis for a selected topic. The tool then generates bibliometric plots and summary views that can be resized, zoomed, downloaded, and edited. Outputs include publication-by-year and citation-by-year trends, combined publication and citation views, an abstract word cloud, top terms ranked by frequency, and top authors with impact indicators.

The suite ends with an “AI Paraphraser” that rewrites selected text while keeping meaning intact. Users can choose writing styles—academic, fluent, formal, creative, or more professional/scientific/technical—and adjust length variation. The transcript emphasizes that paraphrasing requires proof-reading to ensure technical terms aren’t altered or damaged, and it suggests using the paraphrased output in research writing after verification. Overall, the tools are presented as a connected pipeline: query papers for gaps, generate topic-specific directions, quantify the literature landscape, and rewrite text for clarity and originality.