M.D. Rugg

3.7k total citations · 1 hit paper
10 papers, 2.9k citations indexed

About

M.D. Rugg is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, M.D. Rugg has authored 10 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 1 paper in Social Psychology and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in M.D. Rugg's work include Neural and Behavioral Psychology Studies (5 papers), Memory Processes and Influences (4 papers) and Memory and Neural Mechanisms (4 papers). M.D. Rugg is often cited by papers focused on Neural and Behavioral Psychology Studies (5 papers), Memory Processes and Influences (4 papers) and Memory and Neural Mechanisms (4 papers). M.D. Rugg collaborates with scholars based in United Kingdom, United States and Australia. M.D. Rugg's co-authors include Karl Friston, Robert Turner, Andrew P. Holmes, Oliver Josephs, Paul C. Fletcher, Alexa M. Morcom, Jeffrey D. Johnson, Sarah Elizabeth Barrett, R. S. J. Frackowiak and Catriona D. Good and has published in prestigious journals such as NeuroImage, Brain and Trends in Neurosciences.

In The Last Decade

M.D. Rugg

10 papers receiving 2.9k citations

Hit Papers

Event-Related fMRI: Characterizing Differential Responses 1998 2026 2007 2016 1998 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
M.D. Rugg United Kingdom 9 2.6k 505 322 254 243 10 2.9k
Robert L. Savoy United States 21 2.6k 1.0× 603 1.2× 348 1.1× 219 0.9× 255 1.0× 44 3.2k
Patricia Morosan Germany 15 2.1k 0.8× 565 1.1× 377 1.2× 191 0.8× 183 0.8× 22 2.5k
Jeffrey D. Lewine United States 24 2.4k 1.0× 512 1.0× 264 0.8× 391 1.5× 115 0.5× 52 3.1k
Rolando Grave de Peralta Switzerland 15 2.4k 0.9× 331 0.7× 400 1.2× 125 0.5× 148 0.6× 28 2.8k
David M. Groppe United States 24 2.5k 1.0× 211 0.4× 424 1.3× 336 1.3× 158 0.7× 36 2.9k
René Scheeringa Netherlands 16 2.6k 1.0× 430 0.9× 251 0.8× 102 0.4× 162 0.7× 21 2.9k
Evelyn Eger France 30 4.2k 1.6× 483 1.0× 795 2.5× 510 2.0× 319 1.3× 52 4.9k
Bettina Sorger Netherlands 28 2.6k 1.0× 414 0.8× 559 1.7× 76 0.3× 208 0.9× 75 3.0k
Audrey Winter United States 13 2.0k 0.8× 180 0.4× 328 1.0× 127 0.5× 201 0.8× 26 2.8k
Sharlene D. Newman United States 27 1.9k 0.7× 427 0.8× 427 1.3× 640 2.5× 243 1.0× 134 2.8k

Countries citing papers authored by M.D. Rugg

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Rugg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.D. Rugg. 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.D. Rugg. The network helps show where M.D. Rugg may publish in the future.

Co-authorship network of co-authors of M.D. Rugg

This figure shows the co-authorship network connecting the top 25 collaborators of M.D. Rugg. A scholar is included among the top collaborators of M.D. Rugg 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.D. Rugg. M.D. Rugg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chastelaine, Marianne de, et al.. (2011). The Effects of Age, Memory Performance, and Callosal Integrity on the Neural Correlates of Successful Associative Encoding. Cerebral Cortex. 21(9). 2166–2176. 109 indexed citations
2.
Morcom, Alexa M., et al.. (2007). Age Effects on the Neural Correlates of Episodic Retrieval: Increased Cortical Recruitment with Matched Performance. Cerebral Cortex. 17(11). 2491–2506. 123 indexed citations
3.
Johnson, Jeffrey D. & M.D. Rugg. (2007). Recollection and the Reinstatement of Encoding-Related Cortical Activity. Cerebral Cortex. 17(11). 2507–2515. 182 indexed citations
4.
Henson, Richard N., C.J. Price, M.D. Rugg, Robert Turner, & Karl Friston. (2002). Detecting Latency Differences in Event-Related BOLD Responses: Application to Words versus Nonwords and Initial versus Repeated Face Presentations. NeuroImage. 15(1). 83–97. 280 indexed citations
5.
Penny, W.D., Stefan J. Kiebel, James M. Kilner, & M.D. Rugg. (2002). Event-related brain dynamics. Trends in Neurosciences. 25(8). 387–389. 82 indexed citations
6.
Morcom, Alexa M., Catriona D. Good, R. S. J. Frackowiak, & M.D. Rugg. (2002). Age effects on the neural correlates of successful memory encoding. Brain. 126(1). 213–229. 285 indexed citations
7.
Rugg, M.D., et al.. (2000). Confidence in recognition memory for words. UCL Discovery (University College London). 4 indexed citations
8.
Friston, Karl, Paul C. Fletcher, Oliver Josephs, et al.. (1998). Event-Related fMRI: Characterizing Differential Responses. NeuroImage. 7(1). 30–40. 1680 indexed citations breakdown →
9.
Barrett, Sarah Elizabeth & M.D. Rugg. (1989). Event-related potentials and the semantic matching of faces. Neuropsychologia. 27(7). 913–922. 148 indexed citations
10.
Rugg, M.D. & Peter H. Venables. (1980). EEG correlates of the acquisition of high- and low-imagery words. Neuroscience Letters. 16(1). 67–70. 15 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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