Michael L. Hines

13.8k total citations · 3 hit papers
79 papers, 6.8k citations indexed

About

Michael L. Hines is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Michael L. Hines has authored 79 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 30 papers in Cellular and Molecular Neuroscience and 16 papers in Molecular Biology. Recurrent topics in Michael L. Hines's work include Neural dynamics and brain function (41 papers), Neuroscience and Neural Engineering (15 papers) and Advanced Memory and Neural Computing (13 papers). Michael L. Hines is often cited by papers focused on Neural dynamics and brain function (41 papers), Neuroscience and Neural Engineering (15 papers) and Advanced Memory and Neural Computing (13 papers). Michael L. Hines collaborates with scholars based in United States, Italy and Switzerland. Michael L. Hines's co-authors include Nicholas T. Carnevale, Michele Migliore, Gordon M. Shepherd, Thomas M. Morse, William W. Lytton, Robert A. McDougal, Andrew P. Davison, Henry Markram, Luis Marenco and Wei R. Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Michael L. Hines

79 papers receiving 6.7k citations

Hit Papers

The NEURON Simulation Environment 1997 2026 2006 2016 1997 2006 2006 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael L. Hines United States 31 4.4k 4.2k 1.4k 1.3k 544 79 6.8k
Nicholas T. Carnevale United States 24 3.7k 0.8× 3.8k 0.9× 976 0.7× 1.0k 0.8× 285 0.5× 47 5.6k
Andreas S. Tolias United States 42 6.0k 1.3× 3.2k 0.8× 633 0.5× 1.2k 0.9× 440 0.8× 93 8.2k
Anthony M. Zador United States 47 6.9k 1.5× 4.6k 1.1× 979 0.7× 1.7k 1.3× 774 1.4× 90 9.6k
Matthew E. Larkum Germany 44 7.0k 1.6× 6.5k 1.6× 1.2k 0.9× 1.3k 1.0× 296 0.5× 104 9.2k
Idan Segev Israel 51 6.4k 1.4× 5.4k 1.3× 1.4k 1.0× 1.3k 1.0× 247 0.5× 120 8.7k
R. Clay Reid United States 55 9.5k 2.1× 6.9k 1.7× 964 0.7× 2.4k 1.8× 510 0.9× 92 11.8k
Michele Migliore Italy 40 3.1k 0.7× 4.0k 1.0× 599 0.4× 1.7k 1.3× 571 1.0× 145 5.9k
Carl C.H. Petersen Switzerland 54 8.4k 1.9× 8.3k 2.0× 937 0.7× 2.0k 1.5× 921 1.7× 122 11.9k
Matteo Carandini United Kingdom 64 14.0k 3.1× 8.2k 2.0× 1.1k 0.8× 1.9k 1.4× 1.0k 1.8× 126 15.9k
Liam Paninski United States 52 8.5k 1.9× 5.6k 1.3× 1.9k 1.4× 1.5k 1.1× 303 0.6× 163 12.0k

Countries citing papers authored by Michael L. Hines

Since Specialization
Citations

This map shows the geographic impact of Michael L. Hines's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael L. Hines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael L. Hines more than expected).

Fields of papers citing papers by Michael L. Hines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Hines. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael L. Hines. The network helps show where Michael L. Hines may publish in the future.

Co-authorship network of co-authors of Michael L. Hines

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Hines. A scholar is included among the top collaborators of Michael L. Hines based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael L. Hines. Michael L. Hines is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumbhar, Pramod, Salvador Durá-Bernal, James King, et al.. (2022). Modernizing the NEURON Simulator for Sustainability, Portability, and Performance. Frontiers in Neuroinformatics. 16. 884046–884046. 22 indexed citations
2.
Gao, Peng, Wen‐Liang Zhou, Jin‐Young Jang, et al.. (2020). Local glutamate-mediated dendritic plateau potentials change the state of the cortical pyramidal neuron. Journal of Neurophysiology. 125(1). 23–42. 12 indexed citations
3.
Neymotin, Samuel A., Blake Caldwell, Robert A. McDougal, et al.. (2020). Human Neocortical Neurosolver (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data. eLife. 9. 65 indexed citations
4.
Durá-Bernal, Salvador, Benjamin A. Suter, Padraig Gleeson, et al.. (2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 8. 88 indexed citations
5.
Burton, Shawn D., et al.. (2018). Parallel odor processing by mitral and middle tufted cells in the olfactory bulb. Scientific Reports. 8(1). 7625–7625. 19 indexed citations
6.
Marasco, Addolorata, et al.. (2016). Glomerular and Mitral-Granule Cell Microcircuits Coordinate Temporal and Spatial Information Processing in the Olfactory Bulb. Frontiers in Computational Neuroscience. 10. 67–67. 9 indexed citations
7.
Tropper, Carl, et al.. (2016). Multithreaded Stochastic PDES for Reactions and Diffusions in Neurons. ACM Transactions on Modeling and Computer Simulation. 27(2). 1–27. 8 indexed citations
8.
McDougal, Robert A., Thomas M. Morse, Ted Carnevale, et al.. (2016). Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience. Journal of Computational Neuroscience. 42(1). 1–10. 126 indexed citations
9.
Lü, Zhe, et al.. (2013). Ammonia Removal from Rodent Habitat Operations in Space Using Phosphoric Acid Treated Activated Carbon. American Journal of Analytical Chemistry. 4(12). 776–780. 4 indexed citations
10.
McDougal, Robert A., Michael L. Hines, & William W. Lytton. (2013). Reaction-diffusion in the NEURON simulator. Frontiers in Neuroinformatics. 7. 28–28. 39 indexed citations
11.
McDougal, Robert A., Michael L. Hines, & William W. Lytton. (2013). Water-tight membranes from neuronal morphology files. Journal of Neuroscience Methods. 220(2). 167–178. 12 indexed citations
12.
Hines, Michael L.. (2011). Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer. Frontiers in Computational Neuroscience. 5. 49–49. 20 indexed citations
13.
Hines, Michael L., et al.. (2008). Fully implicit parallel simulation of single neurons. Journal of Computational Neuroscience. 25(3). 439–448. 45 indexed citations
14.
Hines, Michael L., et al.. (2007). Model Structure Analysis in NEURON. Methods in molecular biology. 401. 91–102. 13 indexed citations
15.
Hines, Michael L. & Nicholas T. Carnevale. (2007). Translating network models to parallel hardware in NEURON. Journal of Neuroscience Methods. 169(2). 425–455. 41 indexed citations
16.
Migliore, Michele, et al.. (2006). Parallel network simulations with NEURON. Journal of Computational Neuroscience. 21(2). 119–129. 122 indexed citations
17.
Migliore, Michele, Michael L. Hines, & Gordon M. Shepherd. (2005). The Role of Distal Dendritic Gap Junctions in Synchronization of Mitral Cell Axonal Output. Journal of Computational Neuroscience. 18(2). 151–161. 56 indexed citations
18.
Hines, Michael L., Thomas M. Morse, Michele Migliore, & Nicholas T. Carnevale. (2004). ModelDB: A Database to Support Computational Neuroscience. Journal of Computational Neuroscience. 17(1). 7–11. 265 indexed citations
19.
Hines, Michael L. & Nicholas T. Carnevale. (1998). Computer modeling methods for neurons. MIT Press eBooks. 226–230. 9 indexed citations
20.
Skoufos, Emmanouil, Matthew D. Healy, Michael S. Singer, et al.. (1998). Acquiring, Storing and Retrieving Diverse Biomedical Data Using the World-Wide-Web: The SenseLab Paradigm. American Medical Informatics Association Annual Symposium. 60(10). 1079–1079. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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