David Ress

8.1k total citations · 2 hit papers
91 papers, 5.8k citations indexed

About

David Ress is a scholar working on Cognitive Neuroscience, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Ress has authored 91 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 26 papers in Nuclear and High Energy Physics and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Ress's work include Laser-Plasma Interactions and Diagnostics (26 papers), Advanced MRI Techniques and Applications (21 papers) and Functional Brain Connectivity Studies (18 papers). David Ress is often cited by papers focused on Laser-Plasma Interactions and Diagnostics (26 papers), Advanced MRI Techniques and Applications (21 papers) and Functional Brain Connectivity Studies (18 papers). David Ress collaborates with scholars based in United States, Germany and Australia. David Ress's co-authors include David J. Heeger, Gary H. Glover, Tie‐Qiang Li, Michael A. Silver, Benjamin T. Backus, Mark Harlow, U.J. McMahan, Robert M. Marshall, Alexander C. Huk and A. Stoschek and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

David Ress

87 papers receiving 5.7k citations

Hit Papers

Image-based method for retrospective correction of physio... 2000 2026 2008 2017 2000 2002 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
David Ress United States 28 3.9k 1.5k 547 499 497 91 5.8k
Peter van Gelderen United States 60 4.6k 1.2× 6.8k 4.4× 758 1.4× 1.1k 2.2× 997 2.0× 150 12.1k
Richard B. Buxton United States 47 3.4k 0.9× 4.5k 2.9× 661 1.2× 950 1.9× 392 0.8× 113 9.0k
Oliver Speck Germany 51 3.1k 0.8× 4.8k 3.1× 951 1.7× 819 1.6× 383 0.8× 241 8.9k
Elfar Adalsteinsson United States 50 1.9k 0.5× 6.1k 3.9× 612 1.1× 783 1.6× 438 0.9× 168 8.4k
Uwe Klose Germany 45 2.4k 0.6× 3.4k 2.2× 751 1.4× 371 0.7× 488 1.0× 253 7.5k
Van J. Wedeen United States 57 7.5k 1.9× 14.2k 9.2× 809 1.5× 449 0.9× 582 1.2× 130 19.4k
J. Missimer Switzerland 30 588 0.1× 380 0.2× 572 1.0× 182 0.4× 599 1.2× 78 2.7k
Christopher I. Moore United States 53 6.8k 1.7× 422 0.3× 4.7k 8.6× 1.3k 2.6× 1.0k 2.0× 196 11.9k
Angelo Bifone Italy 40 1.7k 0.4× 1.1k 0.7× 1.2k 2.2× 774 1.6× 1.0k 2.1× 140 5.6k
Pierre‐François Van de Moortele United States 57 6.2k 1.6× 7.1k 4.6× 789 1.4× 1.8k 3.6× 281 0.6× 161 13.3k

Countries citing papers authored by David Ress

Since Specialization
Citations

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

Fields of papers citing papers by David Ress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ress

This figure shows the co-authorship network connecting the top 25 collaborators of David Ress. A scholar is included among the top collaborators of David Ress 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 David Ress. David Ress 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.
Li, Ruosha, et al.. (2024). Global Impact of Aging on the Hemodynamic Response Function in the Gray Matter of Human Cerebral Cortex. Human Brain Mapping. 45(18). e70100–e70100.
2.
Goel, Rahul, Lia J. Smith, Bruce Naylor, et al.. (2023). Framework for Accurate Classification of Self-Reported Stress From Multisession Functional MRI Data of Veterans With Posttraumatic Stress. SHILAP Revista de lepidopterología. 7. 2300825415–2300825415. 1 indexed citations
3.
Kim, Jung Hwan, et al.. (2022). Characterization of the blood oxygen level dependent hemodynamic response function in human subcortical regions with high spatiotemporal resolution. Frontiers in Neuroscience. 16. 1009295–1009295. 6 indexed citations
4.
Wang, Danny J.J., et al.. (2019). Dynamics of the cerebral blood flow response to brief neural activity in human visual cortex. Journal of Cerebral Blood Flow & Metabolism. 40(9). 1823–1837. 12 indexed citations
5.
Kim, Jung Hwan & David Ress. (2015). Arterial impulse model for the BOLD response to brief neural activation. NeuroImage. 124(Pt A). 394–408. 33 indexed citations
6.
Katyal, Sucharit & David Ress. (2013). Attentional base response in intermediate layers of human superior colliculus measured using high-resolution fMRI. Journal of Vision. 13(9). 224–224. 3 indexed citations
7.
Katyal, Sucharit, et al.. (2012). High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain. Journal of Visualized Experiments. e3746–e3746. 7 indexed citations
8.
Ress, David, et al.. (2011). Tomographic measurement of population receptive fields in early visual cortex. Journal of Vision. 11(11). 1197–1197. 2 indexed citations
9.
Dunn, Andrew K., et al.. (2011). Measurements and Modeling of Transient Blood Flow Perturbations Induced by Brief Somatosensory Stimulation. PubMed. 5(1). 96–104. 6 indexed citations
10.
Zhang, Qin, et al.. (2010). Surface-based analysis methods for high-resolution functional magnetic resonance imaging. Graphical Models. 73(6). 313–322. 24 indexed citations
11.
Ress, David. (2009). A model for transient oxygen delivery in cerebral cortex. PubMed. 1. 3–3. 22 indexed citations
12.
Sayres, Rory, David Ress, & Kalanit Grill‐Spector. (2005). Identifying Distributed Object Representations in Human Extrastriate Visual Cortex. Neural Information Processing Systems. 18. 1169–1176. 3 indexed citations
13.
Ress, David, Mark Harlow, Robert M. Marshall, & U.J. McMahan. (2004). Methods for Generating High-Resolution Structural Models from Electron Microscope Tomography Data. Structure. 12(10). 1763–1774. 36 indexed citations
14.
Heeger, David J. & David Ress. (2002). What does fMRI tell us about neuronal activity?. Nature reviews. Neuroscience. 3(2). 142–151. 644 indexed citations breakdown →
15.
Ress, David, Benjamin T. Backus, & David J. Heeger. (2000). Activity in primary visual cortex predicts performance in a visual detection task. Nature Neuroscience. 3(9). 940–945. 396 indexed citations
16.
Glover, Gary H., Tie‐Qiang Li, & David Ress. (2000). Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magnetic Resonance in Medicine. 44(1). 162–167. 1543 indexed citations breakdown →
17.
Cable, M. D., Troy W. Barbee, Joachim Koch, et al.. (1998). Diagnostics for high-density implosions at Nova and the national ignition facility. Plasma Physics Reports. 24(2). 110–113. 2 indexed citations
18.
Harlow, Mark, David Ress, Abraham J. Koster, et al.. (1998). Dissection of active zones at the neuromuscular junction by EM tomography. Journal of Physiology-Paris. 92(2). 75–78. 14 indexed citations
19.
Ress, David. (1970). Spectral transients in laser oscillators. Optical and Quantum Electronics. 2(4). 183–192. 2 indexed citations
20.
Martin, I.C.A. & David Ress. (1962). THE USE OF DIRECT CURRENT PULSES FOR THE ELECTRO‐EJACULATION OF THE BULL. Australian Veterinary Journal. 38(3). 92–98. 5 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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