Lagun Nikesh

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Publications
15
Citations
0
h-index
1

About

Nikesh Lagun (born October 24, 2005) is an independent cognitive systems researcher from Nepal. He is the originator of Cognitive Drive Architecture (CDA), a structural field that models the ignition and regulation of cognitive effort based on internal system configuration rather than external motivational cues. CDA was developed to address limitations in existing cognitive control theories, such as Executive Function models and motivational frameworks, by proposing a real-time systems-based approach to task initiation and performance volatility.

Lagun’s research focuses on the first-principles modeling of drive dynamics, attention stability, and latent task interference. His approach emphasizes structural causality over descriptive traits, positioning cognition as a configuration-sensitive system. His early work includes a statistical analysis of school dropout rates in rural Nepal and a review on the effects of mechanical brain injuries on regional brain function, reflecting an interdisciplinary interest in educational and neurological systems.

In addition to his academic research, Lagun shares applied insights on focus, time regulation, and cognitive optimization through a weekly newsletter aimed at students and early-career professionals. His musical work, consisting of original acoustic compositions, is distributed through streaming platforms and is treated as a personal avenue of creative exploration rather than a professional pursuit.

Lagun’s ongoing research aims to extend Cognitive Drive Architecture toward empirical validation through behavioral modeling and system simulation, with particular focus on cognitive saturation, ignition failure, and attentional collapse in multi-task environments.

Research interests

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Total publications
15
Total citations
0
Citations per publication
0
Average publications per year
7.5
Average coauthors
0
Publications years
2024-2025 (2 years)
h-index
1
i10-index
0
m-index
0.5
o-index
1
g-index
1
w-index
0
Metrics description
h-index
A scientist has an h-index if h of his N publications are cited at least h times each, while the remaining (N - h) publications are cited no more than h times each.
i10-index
The number of the author's publications that received at least 10 links each.
m-index
The researcher's m-index is numerically equal to the ratio of his h-index to the number of years that have passed since the first publication.
o-index
The geometric mean of the h-index and the number of citations of the most cited article of the scientist.
g-index
For a given set of articles, sorted in descending order of the number of citations that these articles received, the g-index is the largest number such that the g most cited articles received (in total) at least g2 citations.
w-index
If w articles of a researcher have at least 10w citations each and other publications are less than 10(w+1) citations, then the researcher's w-index is equal to w.

Top-100

Citing journals

1
2
Journal not defined, 2, 66.67%
Journal not defined
2 citations, 66.67%
Brain Sciences
1 citation, 33.33%
1
2

Publishers

1
2
GSC Online Press
2 publications, 13.33%
Publishing House International Enterprise
1 publication, 6.67%
1
2

Organizations from articles

2
4
6
8
10
12
14
16
Organization not defined, 15, 100%
Organization not defined
15 publications, 100%
2
4
6
8
10
12
14
16

Countries from articles

2
4
6
8
10
12
14
16
Country not defined, 15, 100%
Country not defined
15 publications, 100%
2
4
6
8
10
12
14
16

Citing organizations

1
Organization not defined, 1, 0%
Organization not defined
1 citation, 0%
Western University
1 citation, 0%
1

Citing countries

1
Country not defined, 1, 0%
Country not defined
1 citation, 0%
Canada, 1, 0%
Canada
1 citation, 0%
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.