Julia Mossbridge

776 total citations
31 papers, 383 citations indexed

About

Julia Mossbridge is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Julia Mossbridge has authored 31 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 8 papers in Social Psychology. Recurrent topics in Julia Mossbridge's work include Multisensory perception and integration (7 papers), Neural dynamics and brain function (6 papers) and Paranormal Experiences and Beliefs (6 papers). Julia Mossbridge is often cited by papers focused on Multisensory perception and integration (7 papers), Neural dynamics and brain function (6 papers) and Paranormal Experiences and Beliefs (6 papers). Julia Mossbridge collaborates with scholars based in United States, Italy and Canada. Julia Mossbridge's co-authors include Marcia Grabowecky, Satoru Suzuki, Jessica Utts, Patrizio Tressoldi, Beverly A. Wright, Dean Radin, Imants Barušs, Laura Jiménez‐Ortega, Matthew B. Fitzgerald and Erin S. O’Connor and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Julia Mossbridge

27 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Mossbridge United States 9 218 161 145 41 34 31 383
Caroline A. Niziolek United States 10 526 2.4× 270 1.7× 95 0.7× 14 0.3× 36 1.1× 31 658
Toshisada Deguchi Japan 6 221 1.0× 331 2.1× 67 0.5× 14 0.3× 8 0.2× 17 632
Rebecca Watson United Kingdom 8 241 1.1× 224 1.4× 87 0.6× 15 0.4× 12 0.4× 10 463
Danilo Spada Italy 6 538 2.5× 91 0.6× 174 1.2× 15 0.4× 2 0.1× 9 703
Arlo K. Myers United States 11 200 0.9× 85 0.5× 78 0.5× 29 0.7× 16 0.5× 20 436
Mietta Lennes Finland 9 899 4.1× 632 3.9× 43 0.3× 22 0.5× 9 0.3× 22 1.1k
Christine Moon United States 7 225 1.0× 237 1.5× 60 0.4× 16 0.4× 4 0.1× 15 743
Urte Roeber Germany 18 967 4.4× 415 2.6× 73 0.5× 19 0.5× 5 0.1× 45 1.0k
Diana P. Szameitat United Kingdom 10 128 0.6× 174 1.1× 248 1.7× 8 0.2× 4 0.1× 13 374
Karen Mattock Australia 16 361 1.7× 680 4.2× 89 0.6× 45 1.1× 8 0.2× 35 1.1k

Countries citing papers authored by Julia Mossbridge

Since Specialization
Citations

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

Fields of papers citing papers by Julia Mossbridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Mossbridge

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Mossbridge. A scholar is included among the top collaborators of Julia Mossbridge 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 Julia Mossbridge. Julia Mossbridge 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.
Mossbridge, Julia. (2023). Precognition at the Boundaries. SHILAP Revista de lepidopterología. 3(1). 5–41. 1 indexed citations
2.
Mossbridge, Julia. (2023). Sam Knight Details How Not to Build a Premonitions Bureau. 3(2). 369–375.
3.
Wittmann, Marc, et al.. (2021). The German version of a retroactive priming task shows mixed effects.. Psychology of Consciousness Theory Research and Practice. 11(3). 392–405. 3 indexed citations
4.
Mossbridge, Julia & Dean Radin. (2021). Psi Performance as a Function of Demographic and Personality Factors in Smartphone-Based Tests. 1(1-2). 78–113. 2 indexed citations
5.
Mossbridge, Julia, et al.. (2020). Can hypnotic suggestion induce feelings of unconditional love and supernormal performance?. Spirituality in Clinical Practice. 8(1). 30–50. 3 indexed citations
6.
Mossbridge, Julia, Christopher J. R. Roney, & Satoru Suzuki. (2017). Losses and External Outcomes Interact to Produce the Gambler’s Fallacy. PLoS ONE. 12(1). e0170057–e0170057. 2 indexed citations
7.
Mossbridge, Julia. (2017). Examining the nature of retrocausal effects in biology and psychology. AIP conference proceedings. 1841. 30004–30004. 1 indexed citations
8.
Mossbridge, Julia, et al.. (2016). An Association between Auditory–Visual Synchrony Processing and Reading Comprehension: Behavioral and Electrophysiological Evidence. Journal of Cognitive Neuroscience. 29(3). 435–447. 2 indexed citations
9.
Mossbridge, Julia, et al.. (2014). How to remove the influence of expectation bias in presentiment and similar experiments : a recommended strategy. Journal of Parapsychology. 78(1). 80–97. 3 indexed citations
10.
Mossbridge, Julia, Marcia Grabowecky, & Satoru Suzuki. (2013). Seeing the Song: Left Auditory Structures May Track Auditory-Visual Dynamic Alignment. PLoS ONE. 8(10). e77201–e77201. 4 indexed citations
11.
Mossbridge, Julia, Marcia Grabowecky, Ken A. Paller, & Satoru Suzuki. (2013). Neural activity tied to reading predicts individual differences in extended-text comprehension. Frontiers in Human Neuroscience. 7. 655–655. 5 indexed citations
12.
Mossbridge, Julia, Laura Jiménez‐Ortega, Marcia Grabowecky, & Satoru Suzuki. (2013). Rapid volitional control of apparent motion during percept generation. Attention Perception & Psychophysics. 75(7). 1486–1495. 6 indexed citations
13.
Guzman-Martinez, Emmanuel, Laura Jiménez‐Ortega, Marcia Grabowecky, Julia Mossbridge, & Satoru Suzuki. (2012). Interactive Coding of Visual Spatial Frequency and Auditory Amplitude-Modulation Rate. Current Biology. 22(5). 383–388. 55 indexed citations
14.
Mossbridge, Julia, Patrizio Tressoldi, & Jessica Utts. (2012). Predictive Physiological Anticipation Preceding Seemingly Unpredictable Stimuli: A Meta-Analysis. Frontiers in Psychology. 3. 390–390. 73 indexed citations
15.
Mossbridge, Julia, Marcia Grabowecky, & Satoru Suzuki. (2011). Changes in auditory frequency guide visual–spatial attention. Cognition. 121(1). 133–139. 42 indexed citations
16.
Mossbridge, Julia. (2010). The Spiritual Anatomy of Emotion: How Feelings Link the Brain, the Body, and the Sixth Sense. Journal of Parapsychology. 74(2). 394.
17.
Mossbridge, Julia, et al.. (2008). Learning and generalization on asynchrony and order tasks at sound offset: Implications for underlying neural circuitry. Learning & Memory. 15(1). 13–20. 23 indexed citations
18.
Mossbridge, Julia, Matthew B. Fitzgerald, Erin S. O’Connor, & Beverly A. Wright. (2006). Perceptual-Learning Evidence for Separate Processing of Asynchrony and Order Tasks. Journal of Neuroscience. 26(49). 12708–12716. 44 indexed citations
19.
Mossbridge, Julia & Jeànette A. Thomas. (2001). An ‘‘acoustic niche’’ for Antarctic killer whale and leopard seal sounds. The Journal of the Acoustical Society of America. 109(5_Supplement). 2390–2390. 4 indexed citations
20.
Mossbridge, Julia, et al.. (1999). AN “ACOUSTIC NICHE” FOR ANTARCTIC KILLER WHALE AND LEOPARD SEAL SOUNDS1. Marine Mammal Science. 15(4). 1351–1357. 17 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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