Jon Hobbs

602 total citations
11 papers, 402 citations indexed

About

Jon Hobbs is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jon Hobbs has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jon Hobbs's work include Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (5 papers) and Photoreceptor and optogenetics research (2 papers). Jon Hobbs is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Neural Engineering (5 papers) and Photoreceptor and optogenetics research (2 papers). Jon Hobbs collaborates with scholars based in United States, Poland and Germany. Jon Hobbs's co-authors include John M. Beggs, Jodi L. Smith, Aonan Tang, A. M. Litke, Alexander Sher, W. Dąbrowski, Paweł Hottowy, Dumitru Petrusca, Hema Patel and Wei Chen and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Jon Hobbs

11 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Hobbs United States	7	282	169	91	86	58	11	402
John D. Hunter United States	9	234 0.8×	138 0.8×	110 1.2×	50 0.6×	24 0.4×	12	336
Wesley Clawson United States	7	235 0.8×	93 0.6×	91 1.0×	53 0.6×	30 0.5×	11	309
Efstratios K. Kosmidis Greece	13	203 0.7×	296 1.8×	41 0.5×	109 1.3×	42 0.7×	32	574
Shivkumar Sabesan United States	12	355 1.3×	220 1.3×	71 0.8×	38 0.4×	24 0.4×	16	484
Robert Clewley United States	10	334 1.2×	121 0.7×	148 1.6×	113 1.3×	26 0.4×	14	533
Janina Hesse Germany	9	234 0.8×	68 0.4×	112 1.2×	62 0.7×	30 0.5×	16	462
Fabrizio Lombardi Italy	12	391 1.4×	108 0.6×	126 1.4×	20 0.2×	21 0.4×	19	483
Ilya V. Sysoev Russia	13	337 1.2×	164 1.0×	237 2.6×	45 0.5×	74 1.3×	84	542
Javier G. Orlandi Spain	12	280 1.0×	242 1.4×	86 0.9×	113 1.3×	25 0.4×	28	500
Takuma Tanaka Japan	12	150 0.5×	92 0.5×	65 0.7×	68 0.8×	31 0.5×	49	432

Countries citing papers authored by Jon Hobbs

Since Specialization

Citations

This map shows the geographic impact of Jon Hobbs'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 Jon Hobbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Hobbs more than expected).

Fields of papers citing papers by Jon Hobbs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Hobbs. 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 Jon Hobbs. The network helps show where Jon Hobbs may publish in the future.

Co-authorship network of co-authors of Jon Hobbs

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Hobbs. A scholar is included among the top collaborators of Jon Hobbs 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 Jon Hobbs. Jon Hobbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Gregory, Stephen H., Utkarsh Singh, Jeff Gray, & Jon Hobbs. (2021). A computer vision pipeline for automatic large-scale inventory tracking. 100–107. 5 indexed citations

Witkin, Jeffrey M., Xingjie Ping, Rok Cerne, et al.. (2019). The value of human epileptic tissue in the characterization and development of novel antiepileptic drugs: The example of CERC-611 and KRM-II-81. Brain Research. 1722. 146356–146356. 6 indexed citations

Turner, Emily C., et al.. (2019). Applying Computer Vision to Track Tool Movement in an Automotive Assembly Plant. 214–217. 6 indexed citations

Zwart, Ruud, Emanuele Sher, Xingjie Ping, et al.. (2014). Perampanel, an Antagonist of α-Amino-3-Hydroxy-5-Methyl-4-Isoxazolepropionic Acid Receptors, for the Treatment of Epilepsy: Studies in Human Epileptic Brain and Nonepileptic Brain and in Rodent Models. Journal of Pharmacology and Experimental Therapeutics. 351(1). 124–133. 53 indexed citations

Hobbs, Jon, Jodi L. Smith, & John M. Beggs. (2010). Aberrant Neuronal Avalanches in Cortical Tissue Removed From Juvenile Epilepsy Patients. Journal of Clinical Neurophysiology. 27(6). 380–386. 34 indexed citations

Chen, Wei, Jon Hobbs, Aonan Tang, & John M. Beggs. (2010). A few strong connections: optimizing information retention in neuronal avalanches. BMC Neuroscience. 11(1). 3–3. 31 indexed citations

Beggs, John M., E. J. Chichilnisky, Deborah E. Gunning, et al.. (2010). 512-electrode MEA System For Spatio-Temporal Distributed Stimulation and Recording of Neural Activity. 6 indexed citations

Yeh, Fang-Chin, Aonan Tang, Jon Hobbs, et al.. (2010). Maximum Entropy Approaches to Living Neural Networks. Entropy. 12(1). 89–106. 41 indexed citations

Tang, Aonan, David Jackson, Jon Hobbs, et al.. (2008). A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical NetworksIn Vitro. Journal of Neuroscience. 28(2). 505–518. 211 indexed citations

10.

Tang, Aonan, Christopher J. Honey, Jon Hobbs, et al.. (2008). Information flow in local cortical networks is not democratic. BMC Neuroscience. 9(S1). 8 indexed citations

11.

Tang, Aonan, Jon Hobbs, Wei Chen, et al.. (2007). A second-order maximum entropy model predicts correlated network states, but not their evolution over time. BMC Neuroscience. 8(S2). 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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