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Cited by
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Since 2019
Citations
60
57
h-index
2
2
i10-index
2
2
0
18
9
2017
2018
2019
2020
2021
2022
2023
2024
1
2
7
10
17
13
7
3
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Co-authors
Chelsea M. Parlett Pelleriti
Chapman University
Verified email at chapman.edu
Susanne M. Jaeggi
Center for Cognitive and Brain Health, Northeastern University, Boston
Verified email at uci.edu
Jacky Au
Postdoctoral Fellow, University of California, Irvine
Verified email at uci.edu
Victor Zordan
Professor of Computer Science, Clemson University
Verified email at g.clemson.edu
Aaron R. Seitz
Professor of Professor of Psychology, Physical Therapy, Art + Design, Northeastern University
Verified email at northeastern.edu
Russell A. Cohen Hoffing
Army Research Labs
Verified email at ucr.edu
Benjamin Katz
Department of Human Development and Family Science, Virginia Tech
Verified email at vt.edu
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Shafee Mohammed
Doctoral Student,
University of California, Irvine
Verified email at uci.edu -
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Working Memory
Machine Learning
Data Mining
Individual differences
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The benefits and challenges of implementing motivational features to boost cognitive training outcome
S Mohammed, L Flores, J Deveau, R Cohen Hoffing, C Phung, ...
Journal of Cognitive Enhancement 1, 491-507
, 2017
49
2017
& Zordan, V.(2017). The benefits and challenges of implementing motivational features to boost cognitive training outcome
S Mohammed, L Flores, J Deveau, RC Hoffing, C Phung, CM Parlett
Journal of Cognitive Enhancement 1 (4), 491-507
, 0
11
Predicting Learning Behavior Using a Unified Framework: Looking Beyond the Clicks
S Mohammed
University of California, Irvine
, 2020
2020
Predicting Individual Differences in Working Memory Training Gain: A Machine Learning Approach.
S Mohammed, B Katz, C Parlett, M Buschkuehl, SM Jaeggi
CogSci
, 2017
2017
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