M.-A. Tagamets

1.3k total citations
20 papers, 1.0k citations indexed

About

M.-A. Tagamets is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, M.-A. Tagamets has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Electrical and Electronic Engineering. Recurrent topics in M.-A. Tagamets's work include Functional Brain Connectivity Studies (12 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Music Perception (4 papers). M.-A. Tagamets is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Music Perception (4 papers). M.-A. Tagamets collaborates with scholars based in United States and Canada. M.-A. Tagamets's co-authors include Barry Horwitz, Rhonda B. Friedman, Anthony R. McIntosh, Jared M. Novick, Arun L.W. Bokde, Fatima T. Husain, A. Braun, Stephen J. Fromm, Carlos R. Cortes and Leonardo G. Cohen and has published in prestigious journals such as Neuron, NeuroImage and American Journal of Psychiatry.

In The Last Decade

M.-A. Tagamets

20 papers receiving 983 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.-A. Tagamets United States 11 943 228 175 128 72 20 1.0k
John Kochalka United States 16 860 0.9× 179 0.8× 107 0.6× 165 1.3× 90 1.3× 17 1.1k
David E. Osher United States 12 1.1k 1.1× 255 1.1× 328 1.9× 156 1.2× 40 0.6× 28 1.3k
Po‐Jang Hsieh Singapore 14 939 1.0× 165 0.7× 77 0.4× 182 1.4× 24 0.3× 42 1.1k
Sung Jun Joo United States 10 823 0.9× 88 0.4× 280 1.6× 145 1.1× 36 0.5× 22 913
William L. Gross United States 15 809 0.9× 194 0.9× 114 0.7× 173 1.4× 66 0.9× 20 971
Marc N. Coutanche United States 14 784 0.8× 187 0.8× 53 0.3× 143 1.1× 61 0.8× 34 900
Stephanie A. McMains United States 12 1.3k 1.4× 54 0.2× 73 0.4× 214 1.7× 51 0.7× 18 1.4k
Patrick H. Khader Germany 18 845 0.9× 126 0.6× 48 0.3× 115 0.9× 73 1.0× 29 1.0k
Hannes Ruge Germany 20 1.0k 1.1× 113 0.5× 54 0.3× 224 1.8× 49 0.7× 55 1.2k
Sylvain Takerkart France 16 640 0.7× 66 0.3× 145 0.8× 79 0.6× 86 1.2× 38 816

Countries citing papers authored by M.-A. Tagamets

Since Specialization
Citations

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

Fields of papers citing papers by M.-A. Tagamets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-A. Tagamets. 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 M.-A. Tagamets. The network helps show where M.-A. Tagamets may publish in the future.

Co-authorship network of co-authors of M.-A. Tagamets

This figure shows the co-authorship network connecting the top 25 collaborators of M.-A. Tagamets. A scholar is included among the top collaborators of M.-A. Tagamets 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 M.-A. Tagamets. M.-A. Tagamets 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.
Cortes, Carlos R., et al.. (2008). Word and letter string processing networks in schizophrenia: Evidence for anomalies and compensation. Brain and Language. 107(2). 158–166. 9 indexed citations
2.
Cortes, Carlos R., et al.. (2006). Functional connectivity in fMRI: A modeling approach for estimation and for relating to local circuits. NeuroImage. 34(3). 1093–1107. 17 indexed citations
3.
Reggia, James A., M.-A. Tagamets, José L. Contreras-Vidal, et al.. (2006). Development of a Large-Scale Integrated Neurocognitive Architecture Part 2: Design and Architecture. Digital Repository at the University of Maryland (University of Maryland College Park). 2 indexed citations
4.
Horwitz, Barry, et al.. (2005). Investigating the neural basis for functional and effective connectivity. Application to fMRI. Philosophical Transactions of the Royal Society B Biological Sciences. 360(1457). 1093–1108. 91 indexed citations
5.
Husain, Fatima T., M.-A. Tagamets, Stephen J. Fromm, A. Braun, & Barry Horwitz. (2004). Relating neuronal dynamics for auditory object processing to neuroimaging activity: a computational modeling and an fMRI study. NeuroImage. 21(4). 1701–1720. 68 indexed citations
6.
Husain, Fatima T., Giridhar Nandipati, A. Braun, et al.. (2002). Simulating Transcranial Magnetic Stimulation during PET with a Large-Scale Neural Network Model of the Prefrontal Cortex and the Visual System. NeuroImage. 15(1). 58–73. 28 indexed citations
7.
Horwitz, Barry, Fatima T. Husain, A. Braun, & M.-A. Tagamets. (2002). Simulating PET/fMRI studies of visual and auditory pattern recognition using biologically realistic large-scale neural models. 2. 878–883. 2 indexed citations
8.
Bokde, Arun L.W., et al.. (2001). Functional Interactions of the Inferior Frontal Cortex during the Processing of Words and Word-like Stimuli. Neuron. 30(2). 609–617. 179 indexed citations
9.
Tagamets, M.-A. & Barry Horwitz. (2001). Interpreting PET and fMRI measures of functional neural activity: the effects of synaptic inhibition on cortical activation in human imaging studies. Brain Research Bulletin. 54(3). 267–273. 56 indexed citations
10.
Husain, Fatima T., M.-A. Tagamets, A. Braun, & Barry Horwitz. (2001). Large-scale computational model for simulating PET/fMRI studies of auditory pattern recognition. NeuroImage. 13(6). 1307–1307. 2 indexed citations
11.
Tagamets, M.-A. & Barry Horwitz. (2000). A model of working memory: bridging the gap between electrophysiology and human brain imaging. Neural Networks. 13(8-9). 941–952. 24 indexed citations
12.
Tagamets, M.-A., et al.. (2000). A Parametric Approach to Orthographic Processing in the Brain: An fMRI Study. Journal of Cognitive Neuroscience. 12(2). 281–297. 186 indexed citations
13.
Medoff, Deborah R. & M.-A. Tagamets. (2000). Neural Networks. American Journal of Psychiatry. 157(10). 1571–1571. 1 indexed citations
14.
Tagamets, M.-A., et al.. (2000). Changes in functional connectivity as a function of letterstring familiarity. NeuroImage. 11(5). S438–S438. 1 indexed citations
15.
Nandipati, Giridhar, et al.. (2000). Simulating TMS during PET using a large-scale neural network of the visual system. NeuroImage. 11(5). S492–S492. 1 indexed citations
16.
Horwitz, Barry, M.-A. Tagamets, & Anthony R. McIntosh. (1999). Neural modeling, functional brain imaging, and cognition. Trends in Cognitive Sciences. 3(3). 91–98. 184 indexed citations
17.
Horwitz, Barry & M.-A. Tagamets. (1999). Predicting human functional maps with neural net modeling. Human Brain Mapping. 8(2-3). 137–142. 42 indexed citations
18.
Tagamets, M.-A. & Barry Horwitz. (1999). Chapter 11 Functional brain imaging and modeling of brain disorders. Progress in brain research. 121. 185–200. 5 indexed citations
19.
20.
Horwitz, Barry, John Bertelson, Michael S. Beauchamp, & M.-A. Tagamets. (1998). A Large-Scale Neural Model Linking Local Neuronal Dynamics to fMRI Data. NeuroImage. 7(4). S769–S769. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by John Kochalka Breakdown of academic impact, for papers by David E. Osher Breakdown of academic impact, for papers by Po‐Jang Hsieh Breakdown of academic impact, for papers by Sung Jun Joo Breakdown of academic impact, for papers by William L. Gross Breakdown of academic impact, for papers by Marc N. Coutanche Breakdown of academic impact, for papers by Stephanie A. McMains Breakdown of academic impact, for papers by Patrick H. Khader Breakdown of academic impact, for papers by Hannes Ruge Breakdown of academic impact, for papers by Sylvain Takerkart
Rankless by CCL
2026