Michael J. Tobia

607 total citations
26 papers, 444 citations indexed

About

Michael J. Tobia is a scholar working on Cognitive Neuroscience, Sensory Systems and Biomedical Engineering. According to data from OpenAlex, Michael J. Tobia has authored 26 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 6 papers in Sensory Systems and 6 papers in Biomedical Engineering. Recurrent topics in Michael J. Tobia's work include Advanced Chemical Sensor Technologies (6 papers), Olfactory and Sensory Function Studies (6 papers) and Neural and Behavioral Psychology Studies (5 papers). Michael J. Tobia is often cited by papers focused on Advanced Chemical Sensor Technologies (6 papers), Olfactory and Sensory Function Studies (6 papers) and Neural and Behavioral Psychology Studies (5 papers). Michael J. Tobia collaborates with scholars based in United States, Germany and Italy. Michael J. Tobia's co-authors include Uri Hasson, Prasanna Karunanayaka, Qing X. Yang, Vittorio Iacovella, Diana S. Woodruff‐Pak, Grey Ballard, Tobias Sommer, Ian H. Gotlib, Christian E. Waugh and Ben Davis and has published in prestigious journals such as NeuroImage, American Journal of Psychiatry and The FASEB Journal.

In The Last Decade

Michael J. Tobia

25 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Tobia United States 14 191 87 76 56 56 26 444
Bryant J. Jongkees Netherlands 10 286 1.5× 48 0.6× 73 1.0× 18 0.3× 92 1.6× 13 580
Karthik Sreenivasan United States 17 524 2.7× 42 0.5× 131 1.7× 37 0.7× 27 0.5× 34 808
Deepika Bagga Austria 11 124 0.6× 37 0.4× 45 0.6× 27 0.5× 40 0.7× 15 467
Denis Rubin United States 13 376 2.0× 161 1.9× 219 2.9× 111 2.0× 51 0.9× 16 709
Henrique M. Fernandes Denmark 16 326 1.7× 185 2.1× 92 1.2× 124 2.2× 71 1.3× 32 695
Alejandra Mondino United States 15 247 1.3× 36 0.4× 41 0.5× 8 0.1× 120 2.1× 40 425
Joost Wegman Netherlands 11 200 1.0× 39 0.4× 61 0.8× 9 0.2× 31 0.6× 20 437
François Chouinard-Decorte Canada 11 417 2.2× 23 0.3× 76 1.0× 16 0.3× 57 1.0× 13 773
María Luisa Delgado‐Losada Spain 17 389 2.0× 68 0.8× 86 1.1× 51 0.9× 27 0.5× 48 706
Emi Yamano Japan 11 69 0.4× 30 0.3× 55 0.7× 18 0.3× 47 0.8× 25 476

Countries citing papers authored by Michael J. Tobia

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Tobia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Tobia. 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 J. Tobia. The network helps show where Michael J. Tobia may publish in the future.

Co-authorship network of co-authors of Michael J. Tobia

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Tobia. A scholar is included among the top collaborators of Michael J. Tobia 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 J. Tobia. Michael J. Tobia 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.
Kanekar, Sangam, et al.. (2024). Monorhinal and birhinal odor processing in humans: an fMRI investigation. Chemical Senses. 49. 1 indexed citations
2.
Tobia, Michael J., Michael C. Riedel, Taylor Salo, et al.. (2022). Risky decision-making strategies mediate the relationship between amygdala activity and real-world financial savings among individuals from lower income households: A pilot study. Behavioural Brain Research. 428. 113867–113867. 3 indexed citations
3.
Waller, Rebecca, Samuel W. Hawes, Amy L. Byrd, et al.. (2020). Disruptive Behavior Problems, Callous-Unemotional Traits, and Regional Gray Matter Volume in the Adolescent Brain and Cognitive Development Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(5). 481–489. 31 indexed citations
4.
5.
Cysique, Lucette A., Lauriane Jugé, Thomas M. Gates, et al.. (2018). Covertly active and progressing neurochemical abnormalities in suppressed HIV infection. Neurology Neuroimmunology & Neuroinflammation. 5(1). e430–e430. 20 indexed citations
6.
Ballard, Grey, et al.. (2018). Shared-memory parallelization of MTTKRP for dense tensors. ACM SIGPLAN Notices. 53(1). 393–394. 5 indexed citations
7.
Karunanayaka, Prasanna, Michael J. Tobia, & Qing X. Yang. (2017). Age-related resting-state functional connectivity in the olfactory and trigeminal networks. Neuroreport. 28(15). 943–948. 10 indexed citations
8.
Tobia, Michael J. & Christopher R. Madan. (2017). Tool selection and the ventral‐dorsal organization of tool‐related knowledge. Physiological Reports. 5(3). 9 indexed citations
9.
Karunanayaka, Prasanna, Jianli Wang, Michael J. Tobia, et al.. (2017). Different patterns of age-related central olfactory decline in men and women as quantified by olfactory fMRI. Oncotarget. 8(45). 79212–79222. 14 indexed citations
10.
Tobia, Michael J., Jan Gläscher, Ulrike Schwarze, et al.. (2016). Altered behavioral and neural responsiveness to counterfactual gains in the elderly. Cognitive Affective & Behavioral Neuroscience. 16(3). 457–472. 6 indexed citations
11.
Tobia, Michael J., Jan Gläscher, & Tobias Sommer. (2016). Context-specific behavioral surprise is differentially correlated with activity in anterior and posterior brain systems. Neuroreport. 27(9). 677–682. 3 indexed citations
12.
Tobia, Michael J., Qing X. Yang, & Prasanna Karunanayaka. (2016). Intrinsic intranasal chemosensory brain networks shown by resting-state functional MRI. Neuroreport. 27(7). 527–531. 17 indexed citations
13.
Karunanayaka, Prasanna, Donald A. Wilson, Michael J. Tobia, et al.. (2016). Default mode network deactivation during odor–visual association. Human Brain Mapping. 38(3). 1125–1139. 19 indexed citations
14.
Bayer, Janine, et al.. (2015). The effect of estrogen synthesis inhibition on hippocampal memory. Psychoneuroendocrinology. 56. 213–225. 49 indexed citations
15.
Tobia, Michael J., Mark D. Meadowcroft, Prasanna Karunanayaka, & Qing Yang. (2014). The effects of age on multiscale entropy measurement of neurophysiological signal complexity (1125.6). The FASEB Journal. 28(S1). 2 indexed citations
16.
Tobia, Michael J., Ulrike Schwarze, Jan Gläscher, et al.. (2013). Neural systems for choice and valuation with counterfactual learning signals. NeuroImage. 89. 57–69. 25 indexed citations
17.
Tobia, Michael J., Vittorio Iacovella, Ben Davis, & Uri Hasson. (2012). Neural systems mediating recognition of changes in statistical regularities. NeuroImage. 63(3). 1730–1742. 28 indexed citations
18.
Tobia, Michael J., Vittorio Iacovella, & Uri Hasson. (2012). Multiple sensitivity profiles to diversity and transition structure in non-stationary input. NeuroImage. 60(2). 991–1005. 27 indexed citations
19.
Tobia, Michael J. & Diana S. Woodruff‐Pak. (2009). Delay eyeblink classical conditioning is impaired in Fragile X syndrome.. Behavioral Neuroscience. 123(3). 665–676. 15 indexed citations
20.
Woodruff‐Pak, Diana S., Michael J. Tobia, Xilu Jiao, Kevin D. Beck, & Richard J. Servatius. (2006). Preclinical Investigation of the Functional Effects of Memantine and Memantine Combined with Galantamine or Donepezil. Neuropsychopharmacology. 32(6). 1284–1294. 31 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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