Jochen Weber
About
Jochen Weber is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology.
According to data from OpenAlex, Jochen Weber has authored 73 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 26 papers in Experimental and Cognitive Psychology and 13 papers in Clinical Psychology. Recurrent topics in Jochen Weber's work include Neural and Behavioral Psychology Studies (23 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (16 papers) and Functional Brain Connectivity Studies (12 papers). Jochen Weber is often cited by papers focused on Neural and Behavioral Psychology Studies (23 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (16 papers) and Functional Brain Connectivity Studies (12 papers). Jochen Weber collaborates with scholars based in United States, Germany and United Kingdom. Jochen Weber's co-authors include Kevin N. Ochsner, Hedy Kober, Tor D. Wager, Jennifer A. Silvers, Jason T. Buhle, Richard B. Lopez, Judson A. Brewer, Jeremy R. Gray, Yi-Yuan Tang and Patrick D. Worhunsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.
In The Last Decade
Jochen Weber
71 papers receiving 6.8k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Jochen Weber United States | 36 | 3.7k | 2.7k | 2.3k | 1.4k | 894 | 73 | 7.0k | ||
| Moria J. Smoski United States | 39 | 2.6k 0.7× | 2.7k 1.0× | 3.0k 1.3× | 1.4k 0.9× | 681 0.8× | 85 | 6.7k | ||
| Jason S. Moser United States | 44 | 4.2k 1.1× | 3.2k 1.2× | 2.3k 1.0× | 1.6k 1.2× | 699 0.8× | 122 | 7.4k | ||
| Shuqiao Yao China | 43 | 2.7k 0.7× | 2.2k 0.8× | 3.2k 1.4× | 1.2k 0.8× | 1.4k 1.5× | 247 | 7.6k | ||
| Heleen A. Slagter Netherlands | 39 | 5.0k 1.3× | 2.3k 0.9× | 2.8k 1.2× | 1.2k 0.8× | 767 0.9× | 102 | 7.7k | ||
| Alexander J. Shackman United States | 37 | 4.0k 1.1× | 2.4k 0.9× | 1.5k 0.6× | 1.2k 0.8× | 725 0.8× | 73 | 6.6k | ||
| Wendy Heller United States | 50 | 5.9k 1.6× | 3.8k 1.4× | 1.9k 0.8× | 1.1k 0.8× | 1.0k 1.2× | 158 | 8.7k | ||
| Dan Foti United States | 38 | 4.5k 1.2× | 2.9k 1.1× | 1.5k 0.6× | 780 0.5× | 811 0.9× | 92 | 6.3k | ||
| Christine L. Larson United States | 38 | 3.4k 0.9× | 2.1k 0.8× | 1.9k 0.8× | 1.2k 0.8× | 723 0.8× | 122 | 6.5k | ||
| Jack B. Nitschke United States | 37 | 4.5k 1.2× | 3.4k 1.3× | 1.7k 0.7× | 1.4k 1.0× | 847 0.9× | 54 | 7.9k | ||
| Philippe Fossati France | 45 | 4.3k 1.2× | 2.4k 0.9× | 1.4k 0.6× | 1.0k 0.7× | 1.9k 2.1× | 123 | 7.7k |
Countries citing papers authored by Jochen Weber
Since
Specialization
Citations
This map shows the geographic impact of Jochen Weber'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 Jochen Weber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Weber more than expected).
Fields of papers citing papers by Jochen Weber
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jochen Weber. 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 Jochen Weber. The network helps show where Jochen Weber may publish in the future.
Co-authorship network of co-authors of Jochen Weber
This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Weber. A scholar is included among the top collaborators of Jochen Weber 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 Jochen Weber. Jochen Weber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kurtansky, Nicholas R., Clare Primiero, Brigid Betz‐Stablein, et al.. (2024). Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: Results from the 2020 SIIM ‐ISIC melanoma classification challenge. Journal of the European Academy of Dermatology and Venereology. 39(8). 1489–1499.
2.
Blanco, Carlos Felipe, et al.. (2024). Machine learning to support prospective life cycle assessment of emerging chemical technologies. Current Opinion in Green and Sustainable Chemistry. 50. 100979–100979.
3.
Marchetti, Michael A., Nicholas R. Kurtansky, Jochen Weber, et al.. (2023). Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study). npj Digital Medicine. 6(1). 127–127.
4.
Mehta, Paras, Mary Sun, Brigid Betz‐Stablein, et al.. (2023). Improving Artificial Intelligence−Based Diagnosis on Pediatric Skin Lesions. Journal of Investigative Dermatology. 143(8). 1423–1429.e1.
5.
Sahakian, Barbara J., Shuquan Chen, Simon R. White, et al.. (2023). Impact and centrality of attention dysregulation on cognition, anxiety, and low mood in adolescents. Scientific Reports. 13(1). 9106–9106.
6.
Combalia, Marc, Noel Codella, Veronica Rotemberg, et al.. (2022). Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge. The Lancet Digital Health. 4(5). e330–e339.
7.
Rubin‐Falcone, Harry, Jochen Weber, Ronit Kishon, et al.. (2019). Neural predictors and effects of cognitive behavioral therapy for depression: the role of emotional reactivity and regulation. Psychological Medicine. 50(1). 146–160.
8.
Cohen, Noga, Aya Ben-Yakov, Jochen Weber, et al.. (2019). Prestimulus Activity in the Cingulo-Opercular Network Predicts Memory for Naturalistic Episodic Experience. Cerebral Cortex. 30(3). 1902–1913.
9.
Doré, Bruce, Alexa Hubbard, Jochen Weber, et al.. (2018). Negative Autobiographical Memory in Depression Reflects Elevated Amygdala-Hippocampal Reactivity and Hippocampally Associated Emotion Regulation. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 3(4). 358–366.
10.
Lindquist, Kristen A., Ajay B. Satpute, Tor D. Wager, Jochen Weber, & Lisa Feldman Barrett. (2015). The Brain Basis of Positive and Negative Affect: Evidence from a Meta-Analysis of the Human Neuroimaging Literature. Cerebral Cortex. 26(5). 1910–1922.
11.
Olsson, Andreas, Ethan Kross, Samuel S. Nordberg, et al.. (2014). Neural and genetic markers of vulnerability to post-traumatic stress symptoms among survivors of the World Trade Center attacks. Social Cognitive and Affective Neuroscience. 10(6). 863–868.
12.
Kramer, Lisa A. & Jochen Weber. (2012). This is Your Portfolio on Winter: Seasonal Affective Disorder and Risk Aversion in Financial Decision Making. SSRN Electronic Journal.
13.
Gabrieli, John D. E., Kateri McRae, James J. Gross, et al.. (2012). The development of emotion regulation: an fMRI study of cognitive reappraisal in children, adolescents and young adults. DSpace@MIT (Massachusetts Institute of Technology).
14.
Buhle, Jason T., Hedy Kober, Kevin N. Ochsner, et al.. (2012). Common representation of pain and negative emotion in the midbrain periaqueductal gray. Social Cognitive and Affective Neuroscience. 8(6). 609–616.
15.
Zaki, Jamil, Karen M. Hennigan, Jochen Weber, & Kevin N. Ochsner. (2010). Social Cognitive Conflict Resolution: Contributions of Domain-General and Domain-Specific Neural Systems. Journal of Neuroscience. 30(25). 8481–8488.
16.
Weber, Jochen, et al.. (2009). Zur Qualitätssicherung bei der Ausführung von Elementwänden für wasserundurchlässige Betonkonstruktionen. Beton- und Stahlbetonbau. 104(1). 48–55.
17.
Kircher, Tilo, Dominic Marjoram, Tineke Lataster, et al.. (2009). Online mentalising investigated with functional MRI. Neuroscience Letters. 454(3). 176–181.
18.
Ochsner, Kevin N., Brent Hughes, Kateri McRae, et al.. (2009). Bottom-up and top-down processes in emotion generation: common and distinct neural mechanisms.. PubMed. 20(11). 1322–31.
19.
Ochsner, Kevin N., Brent Hughes, Kateri McRae, et al.. (2009). Bottom-Up and Top-Down Processes in Emotion Generation. Psychological Science. 20(11). 1322–1331.
20.
Schnell, Knut, Karsten Heekeren, Jörg Daumann, et al.. (2006). An fMRI approach to particularize the frontoparietal network for visuomotor action monitoring: Detection of incongruence between test subjects’ actions and resulting perceptions. NeuroImage. 34(1). 332–341.
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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