Daniel Gounot

1.1k total citations
35 papers, 831 citations indexed

About

Daniel Gounot is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel Gounot has authored 35 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Daniel Gounot's work include Advanced MRI Techniques and Applications (9 papers), Multiple Sclerosis Research Studies (6 papers) and Memory and Neural Mechanisms (6 papers). Daniel Gounot is often cited by papers focused on Advanced MRI Techniques and Applications (9 papers), Multiple Sclerosis Research Studies (6 papers) and Memory and Neural Mechanisms (6 papers). Daniel Gounot collaborates with scholars based in France, United States and Switzerland. Daniel Gounot's co-authors include L. Rumbach, Jack Foucher, Izzie Jacques Namer, J. Chambron, Hélène Otzenberger, Jean‐Paul Armspach, Fabrice Heitz, Marie‐Noëlle Metz‐Lutz, Daniel Grucker and David Luck and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Daniel Gounot

34 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gounot France 15 338 253 126 82 81 35 831
Tara L. Alvarez United States 27 1.1k 3.3× 306 1.2× 225 1.8× 31 0.4× 138 1.7× 127 1.8k
Samson Jarso United States 9 299 0.9× 521 2.1× 35 0.3× 19 0.2× 68 0.8× 11 970
Steffen Volz Germany 19 317 0.9× 769 3.0× 90 0.7× 12 0.1× 67 0.8× 41 1.2k
Gracián García‐Martí Spain 18 368 1.1× 488 1.9× 66 0.5× 20 0.2× 235 2.9× 59 1.4k
Sylvain Prima France 16 182 0.5× 410 1.6× 45 0.4× 18 0.2× 38 0.5× 43 966
William Triplett United States 20 355 1.1× 472 1.9× 18 0.1× 86 1.0× 104 1.3× 45 1.8k
Vitria Adisetiyo United States 11 527 1.6× 734 2.9× 28 0.2× 31 0.4× 234 2.9× 20 1.4k
Prasun K. Roy India 12 540 1.6× 403 1.6× 21 0.2× 41 0.5× 81 1.0× 35 919
Ana‐Maria Oros‐Peusquens Germany 19 507 1.5× 840 3.3× 25 0.2× 14 0.2× 59 0.7× 47 1.5k
Salima Makni France 6 1.1k 3.4× 1.1k 4.2× 50 0.4× 58 0.7× 283 3.5× 7 2.1k

Countries citing papers authored by Daniel Gounot

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gounot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gounot

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gounot. A scholar is included among the top collaborators of Daniel Gounot 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 Daniel Gounot. Daniel Gounot 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.
Gounot, Daniel, et al.. (2021). Emotional experience is increased and emotion recognition decreased in multiple sclerosis. Scientific Reports. 11(1). 21885–21885. 8 indexed citations
2.
Lamy, Julien, Vincent Noblet, Daniel Gounot, et al.. (2019). Emotional disturbances in multiple sclerosis: A neuropsychological and fMRI study. Cortex. 117. 205–216. 10 indexed citations
3.
Roquet, Daniel, et al.. (2018). Functional Disconnectivity during Inter-Task Resting State in Dementia with Lewy Bodies. Dementia and Geriatric Cognitive Disorders. 45(1-2). 105–120. 9 indexed citations
4.
Ernst, Alexandra, Vincent Noblet, Daniel Gounot, et al.. (2015). Neural correlates of episodic future thinking impairment in multiple sclerosis patients. Journal of Clinical and Experimental Neuropsychology. 37(10). 1107–1123. 12 indexed citations
5.
Ernst, Alexandra, Vincent Noblet, Ekaterina Denkova, et al.. (2014). Functional cerebral changes in multiple sclerosis patients during an autobiographical memory test. Memory. 23(8). 1123–1139. 8 indexed citations
6.
Giersch, Anne, et al.. (2012). Patients with Schizophrenia Do Not Preserve Automatic Grouping When Mentally Re-Grouping Figures: Shedding Light on an Ignored Difficulty. Frontiers in Psychology. 3. 274–274. 2 indexed citations
7.
Otzenberger, Hélène, et al.. (2012). Visemic processing in audiovisual discrimination of natural speech: A simultaneous fMRI–EEG study. Neuropsychologia. 50(7). 1316–1326. 8 indexed citations
8.
Foucher, Jack, et al.. (2011). Correcting for the echo‐time effect after measuring the cerebral blood flow by arterial spin labeling. Journal of Magnetic Resonance Imaging. 34(4). 785–790. 6 indexed citations
9.
Foucher, Jack, et al.. (2011). fMRI working memory hypo-activations in schizophrenia come with a coupling deficit between arousal and cognition. Psychiatry Research Neuroimaging. 194(1). 21–29. 5 indexed citations
10.
Luck, David, et al.. (2009). The right parahippocampal gyrus contributes to the formation and maintenance of bound information in working memory. Brain and Cognition. 72(2). 255–263. 84 indexed citations
11.
Aparicio, M., Élisabeth Demont, Daniel Gounot, & Marie‐Noëlle Metz‐Lutz. (2009). Is there an alternative cerebral network associated with enhanced phonological processing in deaf speech‐users? An exceptional case. Scandinavian Journal of Psychology. 50(5). 445–455.
12.
Otzenberger, Hélène, et al.. (2005). Reliability of individual functional MRI brain mapping of language.. Neuropsychology. 19(4). 484–493. 18 indexed citations
13.
Heitz, Fabrice, et al.. (2003). Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. NeuroImage. 20(2). 643–656. 150 indexed citations
14.
Foucher, Jack, Hélène Otzenberger, & Daniel Gounot. (2003). The BOLD response and the gamma oscillations respond differently than evoked potentials: an interleaved EEG-fMRI study. BMC Neuroscience. 4(1). 22–22. 79 indexed citations
15.
Baruthio, J., et al.. (2001). Determination of vessel cross section for flow rate quantification. Magnetic Resonance Imaging. 19(6). 891–897. 1 indexed citations
16.
Baruthio, J., et al.. (2001). In vitro validation of MR measurements of arterial pulse‐wave velocity in the presence of reflected waves. Journal of Magnetic Resonance Imaging. 14(2). 120–127. 25 indexed citations
17.
Metz‐Lutz, Marie‐Noëlle, et al.. (2000). Language functional neuro-imaging changes following focal left thalamic infarction. Neuroreport. 11(13). 2907–2912. 12 indexed citations
18.
Roy, Catherine, C. Saussine, Christine Jahn, et al.. (1994). Evaluation of RARE-MR Urography in the Assessment of Ureterohydronephrosis. Journal of Computer Assisted Tomography. 18(4). 601–608. 54 indexed citations
19.
Rumbach, L., et al.. (1991). Nuclear magnetic resonance T2 relaxation times in multiple sclerosis. Journal of the Neurological Sciences. 104(2). 176–181. 16 indexed citations
20.
Armspach, Jean‐Paul, Daniel Gounot, L. Rumbach, & J. Chambron. (1991). In vivo determination of multiexponential T2 relaxation in the brain of patients with multiple sclerosis. Magnetic Resonance Imaging. 9(1). 107–113. 86 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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