Other Useful Tools

Has the claim that [CLAIM] been replicated, contradicted, or qualified in peer-reviewed work since 2022? Cite the strongest evidence on each side and rate your confidence (high / medium / low) with reasons.

Find 2–3 recent (2023–present) real-world examples of [PHENOMENON] in [REGION / INDUSTRY]. For each, give: what happened, which source reported it first, and one methodological caveat a researcher should mention when using it in class.

Compare how [METHOD A] and [METHOD B] have been used in [FIELD] over the last 5 years. Return: adoption trends, 2 exemplary papers for each, and the main criticism each approach has received. Cite sources.

Search Google Scholar Labs for [TOPIC]. Summarise the top 10 most-cited papers in 2 sentences each, noting their key contribution and one limitation flagged in follow-up work.

For [PAPER TITLE], use Google Scholar's citation context to find: (1) the most common reason other papers cite it, (2) one paper that extends its findings, and (3) one paper that questions its conclusions.

Monitor Google Scholar Labs for new papers on [TOPIC] published in the last 6 months. Flag any that introduce a new method, challenge an established finding, or come from an unexpected discipline.

Starting from [SEED PAPER], map the 20 most-relevant papers in the citation network. For each, note: citation count, whether it is a foundational, bridging, or recent contribution, and one keyword that captures its role in the network.

I need to bridge [PAPER A] and [PAPER B] in my literature review. Which papers cite both, or which intermediate work connects their arguments?

Trace the intellectual lineage of [AUTHOR] through their co-authors and mentees. Identify the 3 most influential collaborators and the research themes each introduced.

Find all randomised controlled trials that tested [INTERVENTION] in [POPULATION] since 2018. Extract into a table: first author, year, sample size, country, key finding, effect size if reported, and risk-of-bias flag (high / medium / low).

Trace how the concept of [CONCEPT] has been operationalised in empirical research over the last decade. List the 5 most-cited measurement instruments and note which disciplines use each.

I am writing a review on [TOPIC]. List the 10 most-cited papers in this area from the last 5 years. For each, note whether it is primarily theoretical, empirical, or methodological, and flag any that I might have missed if I only searched [DATABASE].

Explain the methodology of this paper as you would to a master's student in [FIELD]. Cover: research design, sampling strategy, key variables and how they were measured, and the main limitation the authors acknowledge.

For this paper, generate: (1) a 3-minute verbal summary, (2) 3 discussion questions that probe the methods, (3) 1 question about the generalisability of the findings, (4) 2 related papers I should read next.

I have uploaded 5 papers on [TOPIC]. Compare their methodologies in a table: design, sample, measures, analytic approach, and stated limitation. Highlight any methodological innovation.

What is the current state of scientific consensus on [CLAIM]? Provide: (1) the headline conclusion, (2) 2 supporting studies with direct quotes, (3) 2 dissenting or qualifying studies with direct quotes, (4) the main methodological disagreement, (5) a confidence level (strong / moderate / weak / disputed).

Does the consensus on [CLAIM] differ between [DISCIPLINE A] and [DISCIPLINE B]? If so, what explains the gap. Different methods, different populations, or different theoretical frameworks?

Has the consensus on [CLAIM] changed in the last 5 years? If yes, what study or methodological innovation caused the shift?

Upload my dataset and report: (1) number of rows and columns, (2) missing values per variable, (3) any duplicates or obvious anomalies, (4) variable types and recommended transformations for analysis.

I want to test the relationship between [VARIABLE A] and [VARIABLE B] in this dataset. Recommend the most appropriate statistical test, state its assumptions, run it, and interpret the results with effect sizes and confidence intervals where applicable.

Create a [TYPE OF CHART, e.g., boxplot / scatterplot / bar chart] showing [RELATIONSHIP]. Make it publication-ready with clear axis labels, a title, and a caption. Export the figure and the underlying code.

Investigate how [CONCEPT from DISCIPLINE A] has been adopted and adapted in [DISCIPLINE B] over the last 10 years. Return: key bridging papers, conceptual translations, methodological modifications, and 2 unresolved tensions between the disciplines.

I am preparing a grant on [TOPIC]. Produce a landscape report covering: who funds this area, which institutions lead, the 5 most-cited recent papers, and 2 gaps a new project could fill.

Trace the evolution of [METHOD] from its origin to its current form. For each major variant, name the key paper, the problem it solved, and the limitation that prompted the next iteration.