2026 Michael L. Hines: Neuroscience Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	43	7282	6708	3139	2830	132	16131
Computer Science	41	8597	8353	3683	3540	121	14092

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

7282

6708

3139

2830

132

16131

Computer Science

8597

8353

3683

3540

121

14092

Neuroscience

D-Index

Citations

16131

World Ranking

7282

National Ranking

3139

Computer Science

D-Index

Citations

14092

World Ranking

8597

National Ranking

3683

Overview

Michael L. Hines is affiliated with Yale University in the United States and has contributed extensively to research in neuroscience and engineering. Their work spans multiple subfields including cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, cardiology and cardiovascular medicine, and sensory systems.

The scientific topics covered in their research include:

Neural dynamics and brain function
Advanced memory and neural computing
Neuroscience and neural engineering
Olfactory and sensory function studies
Functional brain connectivity studies
Neurobiology and insect physiology research
Cardiac electrophysiology and arrhythmias

Hines has published in a variety of recognized journals. Frequent publication venues are:

Biophysical Journal
Journal of Neurophysiology
Lecture Notes in Computer Science
eLife
Frontiers in Neuroinformatics

Recent papers authored or coauthored by Hines include:

"Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data" (2020), published in eLife
"Modernizing the NEURON Simulator for Sustainability, Portability, and Performance" (2022), published in Frontiers in Neuroinformatics
"Local glutamate-mediated dendritic plateau potentials change the state of the cortical pyramidal neuron" (2020), published in Journal of Neurophysiology
"Predicting brain organization with a computational model: 50-year perspective on lateral inhibition and oscillatory gating by dendrodendritic synapses" (2020), published in Journal of Neurophysiology
"Modernizing the NEURON Simulator for Sustainability, Portability, and Performance" (2022), published in bioRxiv (Cold Spring Harbor Laboratory)

Michael L. Hines has collaborated frequently with a number of coauthors including:

Nicholas T. Carnevale
Robert A. McDougal
Mark W. Nowak
Leigh Korbel
Glenna C.L. Bett

Best Publications

The NEURON simulation environment

M. L. Hines;N. T. Carnevale

3380
Citations
Reconstruction and Simulation of Neocortical Microcircuitry

Henry Markram;Henry Markram;Eilif Muller;Srikanth Ramaswamy;Michael W. Reimann

1673
Citations
The NEURON Book

Nicholas T. Carnevale;Michael L. Hines

1579
Citations
The NEURON Book

Unknown

1088
Citations
Simulation of networks of spiking neurons: A review of tools and strategies

Romain Brette;Michelle Rudolph;Ted Carnevale;Michael L. Hines

1040
Citations
Neuron: A Tool for Neuroscientists

M. L. Hines;N. T. Carnevale

787
Citations
NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

Padraig Gleeson;Sharon M. Crook;Robert C Cannon;Michael L Hines

440
Citations
ModelDB: A Database to Support Computational Neuroscience.

Michael L. Hines;Thomas M. Morse;Michele Migliore;Nicholas T. Carnevale

415
Citations
NEURON and Python

Michael L. Hines;Andrew P. Davison;Eilif B. Müller

405
Citations
Efficient computation of branched nerve equations

Michael Hines

346
Citations
A program for simulation of nerve equations with branching geometries.

Michael Hines

336
Citations
NEURON — A Program for Simulation of Nerve Equations

Michael Hines

289
Citations
Expanding NEURON’s Repertoire of Mechanisms with NMODL

M. L. Hines;N. T. Carnevale

238
Citations
Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience

Robert A. Mcdougal;Thomas M. Morse;Ted Carnevale;Luis Marenco

237
Citations
Parallel network simulations with NEURON

Michele Migliore;C. Cannia;C. Cannia;William W. Lytton;Henry Markram

233
Citations
neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space

Padraig Gleeson;Volker Steuber;R. Angus Silver

230
Citations
NetPyNE: A tool for data-driven multiscale modeling of brain circuits

Salvador Dura-Bernal;Benjamin A. Suter;Padraig Gleeson;Matteo Cantarelli

182
Citations
ModelDB: making models publicly accessible to support computational neuroscience

Michele Migliore;Thomas M. Morse;Andrew P. Davison;Luis N. Marenco

158
Citations
Computational Analysis of Action Potential Initiation in Mitral Cell Soma and Dendrites Based on Dual Patch Recordings

Gongyu Y. Shen;Wei R. Chen;Jens Midtgaard;Gordon M. Shepherd

121
Citations
Multiple Modes of Action Potential Initiation and Propagation in Mitral Cell Primary Dendrite

Wei R. Chen;Gongyu Y. Shen;Gordon M. Shepherd;Michael L. Hines

118
Citations
The NEURON Book: Object-oriented programming

Nicholas T. Carnevale;Michael L. Hines

0
Citations

Frequent Co-Authors

Michele Migliore National Academies of Sciences, Engineering, and Medicine

Gordon M. Shepherd Yale School of Medicine

William W. Lytton SUNY Downstate Medical Center

Perry L. Miller Yale University

Henry Markram École Polytechnique Fédérale de Lausanne

Markus Diesmann RWTH Aachen University

Alain Destexhe Centre national de la recherche scientifique, CNRS

Erik De Schutter Okinawa Institute of Science and Technology

Gaute T. Einevoll Norwegian University of Life Sciences

Heidi I.L. Jacobs Harvard University

External Links

Personal website of Michael L. Hines

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