USCIS officer 1791
Updated: Author: Alina Kanametova
Number 1791 on your notice is an adjudicating desk, not a person. Our set holds 6 cases from it: 4 parsed notices and 2 coded cases.
What arrived
- DENIAL2
- NOID2
- RFE2
Center: Texas (2). Years: 2025, 2026.
Most often questioned
Accepted: Awards (2), Membership (2), Published material about you (2).
Fields the cases came from
- business2
The field split across our cases from this desk. A desk is not assigned by field - this reflects who filed, not what the desk specializes in.
These counts do NOT show how often this desk approves. The data holds only cases that already drew a request or refusal; petitions approved without questions never appear. You cannot choose or change your desk.
Why this criterion gets refused
The grounds officers actually rely on when they refuse this criterion, and how often it survives.
Among petitions that drew an RFE, NOID or denial and claimed this criterion, the officer accepted it in 44% of cases (86 of 196).
This is not an approval rate. The sample is petitions that were challenged, so it says how often a claimed criterion survived scrutiny - nothing about how often EB-1A petitions succeed overall.
Based on: 253 coded USCIS I-140 notices (RFE, NOID, denial) · updated Sep 6, 2026 · RFE by criterion
The venue is not accepted as professional, trade or major media - where it was published is judged separately from the article itself.
The articles are not shown to be scholarly in nature. Columns, blog posts and round-ups do not satisfy this criterion.
Grounds observed across 150 real USCIS notices, summarized in our own words - not quotations from any individual case.
Common questions
What does officer number 1791 mean?
It is the code of an adjudicating desk inside a USCIS service center, not an employee's name. It cannot be resolved to an individual, and USCIS does not publish that information.
What should I focus on if my request came from this desk?
In our data this desk most often questioned: Scholarly authorship, Leading role, Original contribution. That is not a prediction, but a hint about which parts of the response deserve more depth. You still answer the text of your own request.