R3ciprocityBetter ideas. Better research. Let’s play ↗

Explore Influence

Understand who your research reaches.

Explore a research record, inspect its reach signals, and check what the underlying evidence supports. The actual Influence interface below uses a completely fictional profile.

Connected works, personal evidence and saved reports stay in your account. The public screenshot contains no account records.

Actual R3ciprocity Influence Reach view for Alex Example, a fictional profile, with fictional citation and institutional metrics.
Actual interface · Fictional dataView full size ↗

The actual Reach view with invented publications, counts and affiliations. None of these numbers describe a real person, institution or account.

Worked example

Read the evidence behind a reach signal

Invented profile, papers, affiliations and metrics in the actual interface. No real research impact is claimed.

FICTIONAL
  1. Step 1

    Choose the research record

    The fictional Alex Example profile has two indexed works and 68 citations. Treat these as a record summary, then open the Reach view shown above.

  2. Step 2

    Inspect the sample

    The example contains four citing works with two institutions, two countries and two fields. The view shows the sample coverage and leaves unavailable FWCI as a dash.

  3. Step 3

    Check the citation context

    Follow the source trace before describing a connection as use or support. A citation can provide background or disagree; reach indices and citation totals are not quality scores.

What can these sample metrics establish?

There are no real citation totals in this example: every name, affiliation and count is fictional. The interface shows how to inspect source coverage and missing evidence. The sample does not verify a researcher’s identity, establish agreement with a paper or demonstrate a causal effect on a decision.

Connect your research

Bring the work you identify as yours into your signed-in research view.

Follow the source

Inspect the available record behind a connection before interpreting it.

Keep the limits visible

Separate recorded attention from claims about quality, use or causal impact.