2026 Dmitri B. Chklovskii: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	38	9931	9649	4174	4001	140	21524

Overview

Dmitri B. Chklovskii is affiliated with New York University in the United States. Their research primarily spans the fields of neuroscience and computer science, focusing on a variety of interrelated subfields and topics within these domains.

The main fields of study include:

Neuroscience
Computer Science

Their work explores specialized subfields such as:

Cognitive Neuroscience
Artificial Intelligence
Cellular and Molecular Neuroscience
Electrical and Electronic Engineering
Biophysics

Chklovskii's research covers key topics that reflect their interdisciplinary interests:

Neural dynamics and brain function
Neural Networks and Applications
Advanced Memory and Neural Computing
Neurobiology and Insect Physiology Research
EEG and Brain-Computer Interfaces
Cell Image Analysis Techniques
Neuroscience and Neuropharmacology Research

The scientist has published extensively, with frequent contributions to several publication venues including:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the National Academy of Sciences
Nature Communications
Neural Computation

Recent publications feature a mixture of neuroscience and artificial intelligence topics, such as:

"Catalyzing next-generation Artificial Intelligence through NeuroAI," 2023, Nature Communications
"Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning," 2023, Nature Neuroscience
"Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution," 2022, arXiv (Cornell University)
"A complete reconstruction of the early visual system of an adult insect," 2023, Current Biology
"Small brains for big science," 2021, Current Opinion in Neurobiology

Collaborations form an important aspect of their research activity. Frequent co-authors include:

David Lipshutz
Anirvan M. Sengupta
Siavash Golkar
Yanis Bahroun
Cengiz Pehlevan

Best Publications

Network Motifs: Simple Building Blocks of Complex Networks

R. Milo;S. Shen-Orr;S. Itzkovitz;N. Kashtan

8997
Citations
Structural Properties of the Caenorhabditis elegans Neuronal Network

Lav R. Varshney;Beth L. Chen;Eric Paniagua;David H. Hall

1094
Citations
CaImAn an open source tool for scalable calcium imaging data analysis

Andrea Giovannucci;Johannes Friedrich;Pat Gunn;Jérémie Kalfon

975
Citations
Cortical rewiring and information storage

D. B. Chklovskii;B. W. Mel;K. Svoboda

955
Citations
A visual motion detection circuit suggested by Drosophila connectomics

Shin-ya Takemura;Arjun Bharioke;Zhiyuan Lu;Zhiyuan Lu;Aljoscha Nern

796
Citations
Wiring optimization in cortical circuits.

Dmitri B. Chklovskii;Thomas Schikorski;Charles F. Stevens

602
Citations
Maps in the brain: what can we learn from them?

Dmitri B. Chklovskii;Alexei A. Koulakov

445
Citations
Synaptic Connectivity and Neuronal Morphology: Two Sides of the Same Coin

Dmitri B. Chklovskii

319
Citations
Catalyzing next-generation Artificial Intelligence through NeuroAI

Unknown

308
Citations
Synaptic circuits and their variations within different columns in the visual system of Drosophila

Shin Ya Takemura;C. Shan Xu;Zhiyuan Lu;Zhiyuan Lu;Patricia K. Rivlin

292
Citations
Neuronal Circuits Underlying Persistent Representations Despite Time Varying Activity

Shaul Druckmann;Dmitri B. Chklovskii

247
Citations
Orientation preference patterns in mammalian visual cortex: a wire length minimization approach.

Alexei A. Koulakov;Dmitri B. Chklovskii

235
Citations
The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila

Shin-ya Takemura;Aljoscha Nern;Dmitri B Chklovskii;Louis K Scheffer

230
Citations
Semi-automated reconstruction of neural circuits using electron microscopy.

Dmitri B Chklovskii;Shiv Vitaladevuni;Louis K Scheffer

221
Citations
Local Potential Connectivity in Cat Primary Visual Cortex

Armen Stepanyants;Judith A. Hirsch;Luis M. Martinez;Zoltán F. Kisvárday;Zoltán F. Kisvárday

196
Citations
A Cost-Benefit Analysis of Neuronal Morphology

Quan Wen;Dmitri B. Chklovskii

183
Citations
Large-Scale Automated Histology in the Pursuit of Connectomes

David Kleinfeld;Arjun Bharioke;Pablo Blinder;David Bock

177
Citations
Machine learning of hierarchical clustering to segment 2D and 3D images.

Juan Nunez-Iglesias;Ryan Kennedy;Toufiq Parag;Jianbo Shi

174
Citations
Theoretical Neuroscience: State of the Art

Dmitri B. Chklovskii

154
Citations
Search for computational modules in the C. elegans brain

Markus Reigl;Uri Alon;Dmitri B Chklovskii

140
Citations
Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays

Quan Wen;Quan Wen;Dmitri B Chklovskii

139
Citations
Optimal Information Storage in Noisy Synapses under Resource Constraints

Lav R Varshney;Lav R Varshney;Per Jesper Sjöström;Dmitri B B. Chklovskii

111
Citations

Frequent Co-Authors

Ian A. Meinertzhagen Dalhousie University

Bertrand I. Halperin Indian Institute of Science

William R Schafer MRC Laboratory of Molecular Biology

Lav R. Varshney University of Illinois at Urbana-Champaign

Karel Svoboda Allen Institute

Patrick A. Lee MIT

David W. Tank Princeton University

Gerald M. Rubin Howard Hughes Medical Institute

David H. Hall Albert Einstein College of Medicine

Boris I Shklovskii University of Minnesota

External Links

Personal website of Dmitri B. Chklovskii

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing a Computer Science career in the USA can now begin with flexible study options. For those looking to build practical skills quickly, online associate degrees are a great way to start. Consider an associate degree online to gain foundational knowledge and entry-level job opportunities.

Many learners aim for advanced credentials while balancing work or family responsibilities. Accelerated graduate programs, such as quick masters degrees online, allow you to earn your qualification in less time. This can fast-track your transition into high-demand tech roles.

Choosing the right graduate program matters for your career goals and future job prospects. Look for the best masters degree to get based on industry relevance and earning potential, such as data science or cybersecurity.

If affordability is a primary concern, many universities offer affordable online courses that maintain high academic standards. Comparing options can help you maximize your investment while paving the way for your tech career.