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Nikita

If You Like Nikita(1990)

Based on real preference data from thousands of voters, here's what fans of Nikita also love.

44 connections found

Other versions:20101990
44 connections
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Total Recall#130x

Total Recall

1990
59 voters
Gattaca#226x

Gattaca

1997
Sci-Fi
52 voters
Blade Runner#321x

Blade Runner

1982
Sci-Fi
68 voters
Aliens#420x

Aliens

1986
ActionSci-Fi
53 voters
The Bourne Identity#519x

The Bourne Identity

2002
56 voters
Being John Malkovich#617x

Being John Malkovich

1999
54 voters
Die Hard#716x

Die Hard

1988
51 voters
The Fifth Element#816x

The Fifth Element

1997
59 voters
#916x

Terminator

1984
53 voters
Terminator 2: Judgment Day#1016x

Terminator 2: Judgment Day

1991
63 voters
Minority Report#1116x

Minority Report

2002
Thriller
59 voters
Groundhog Day#1215x

Groundhog Day

1993
52 voters
Alien#1315x

Alien

1979
Sci-Fi
57 voters
District 9#1413x

District 9

2009
52 voters
Fargo#1513x

Fargo

1996
Thriller
51 voters
Men in Black#1611x

Men in Black

1997
Action
53 voters
The Sixth Sense#1711x

The Sixth Sense

1999
52 voters
The Big Lebowski#1811x

The Big Lebowski

1998
56 voters
No Country for Old Men#1911x

No Country for Old Men

2007
55 voters
Trainspotting#2011x

Trainspotting

1996
53 voters
The Shining#2110x

The Shining

1980
55 voters
Jurassic Park#2210x

Jurassic Park

1993
53 voters
American Psycho#239.8x

American Psycho

2000
51 voters
The Silence of the Lambs#249.5x

The Silence of the Lambs

1991
Thriller
67 voters
Reservoir Dogs#259.2x

Reservoir Dogs

1992
59 voters
Gladiator#268.8x

Gladiator

2000
Thriller
50 voters
American History X#278.6x

American History X

1998
50 voters
Back to the Future#288.5x

Back to the Future

1985
56 voters
Batman Begins#298.1x

Batman Begins

2005
ActionThriller
52 voters
Catch Me If You Can#308.0x

Catch Me If You Can

2003
56 voters
Se7en#317.9x

Se7en

1995
Thriller
53 voters
V for Vendetta#327.6x

V for Vendetta

2006
Action
54 voters
The Matrix#337.6x

The Matrix

1999
76 voters
The Lord of the Rings: The Fellowship of the Ring#347.4x

The Lord of the Rings: The Fellowship of the Ring

2001
51 voters
Donnie Darko#357.2x

Donnie Darko

2001
Thriller
52 voters
The Truman Show#367.1x

The Truman Show

1998
60 voters
The Prestige#377.1x

The Prestige

2006
Action
52 voters
Inglourious Basterds#386.8x

Inglourious Basterds

2009
Action
52 voters
Pulp Fiction#396.4x

Pulp Fiction

1994
70 voters
The Dark Knight#406.2x

The Dark Knight

2008
Action
56 voters
The Shawshank Redemption#416.0x

The Shawshank Redemption

1994
52 voters
Forrest Gump#425.8x

Forrest Gump

1994
Action
52 voters
Fight Club#435.4x

Fight Club

1999
Action
70 voters
Inception#444.4x

Inception

2010
56 voters

How does this work?

These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Nikita consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Nikita are to enjoy each recommendation compared to the average person.

Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.