Emma Williams

3.5k citations
49 papers · 2.5k indexed · 2 hit papers · h-index 18

Emma Williams

48 papers receiving 2.5k citations

Hit Papers

Choosing between small, likely rewards and large, unlikel...6511999202620082017200400600

Peers

Emma Williams
Comparison fields: 5 of 143
  • General Decision Sciences 160
  • Cognitive Neuroscience 1.3k
  • Behavioral Neuroscience 85
  • Experimental and Cognitive Psychology 305
  • Psychiatry and Mental health 348
Replace Christopher R. Madan with:
Christopher R. Madan United Kingdom
Jonathan Cohen United States
Martijn Meeter Netherlands
Qinghua He China
Jaap M. J. Murre Netherlands
Karen Mitchell United States
Michael B. Miller United States
Karin Foerde United States
And U. Turken United States
Emma Williams relative to Christopher R. Madan United Kingdom Christopher R. Madan's profile →
Citations per field
00.5×1.5×2.0×
Christopher R. Madan · 1×
Citations per year

Countries citing papers authored by Emma Williams

Since Specialization
Citations

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

Fields of papers citing papers by Emma Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Emma Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emma Williams Line = papers co-authored together Emma Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202230
2 202112
3 20193
4 20181
5 2018121
6
Putting learning into practice: self-reflections from cops
201710
7 201797
8 201317
9 201339
10 20126
11
Measuring the unmeasurable: Evaluations of complex programs in the Northern Territory
20091
12 200327
13 200267
14 200115
15 2000114
16 199962
17 19997
18 19998
19 1999238
20 199620

About Emma Williams

Emma Williams is a scholar working on Cognitive Neuroscience, Health and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Functional Brain Connectivity Studies (9 papers), Spam and Phishing Detection (7 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Neural and Behavioral Psychology Studies (5 papers), Evaluation and Performance Assessment (4 papers), Memory and Neural Mechanisms (4 papers) and Physics of Superconductivity and Magnetism (3 papers). The work is most often cited by research in General Decision Sciences (160 citations), Cognitive Neuroscience (1.3k citations) and Behavioral Neuroscience (85 citations). Emma Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Trevor W. Robbins, Barbara J. Sahakian, Hugh Middleton, Robert D. Rogers, Adrian M. Owen, Adam Joinson, John D. Pickard, A. M. Owen, Joanne Hinds and T. Adrian Carpenter. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

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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