Ada Woo

25 papers receiving 876 citations

Peers

Ada Woo
Comparison fields: 5 of 92
  • Research and Theory 23
  • Biological Psychiatry 51
  • Pharmacology 204
  • Issues, ethics and legal aspects 14
  • Experimental and Cognitive Psychology 166
Replace Diana Carter with:
Diana Carter Canada
Harry McConnell Australia
Jeffrey Lightfoot United States
Marilyn A. Davies United States
Kyle R. Dyer United Kingdom
C. Sophia Albott United States
Valentina Martinelli Italy
Adam Bayes Australia
Ursula Reichenpfader United States
Jean‐Claude Samuelian France
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Citations per field
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Citations per year

Countries citing papers authored by Ada Woo

Since Specialization
Citations

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

Fields of papers citing papers by Ada Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ada Woo, 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 Ada Woo Line = papers co-authored together Ada Woo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005319
2 2006201
3 2006105
4 201645
5 200644
6
Assessing Higher-Order Cognitive Constructs by Using an Information-Processing Framework
201633
7 201926
8 200923
9 200920
10 200919
11 201116
12 200614
13 200612
14 201210
15 20179
16 20165
17
2007 Nurse Licensee Volume and NCLEX ® Examination Statistics
20075
18 20144
19 20114
20
Assessing DIF among small samples with separate calibration t and Mantel-Haenszel χ² statistics in the Rasch model.
20133

About Ada Woo

Ada Woo is a scholar working on Management Science and Operations Research, General Health Professions, Issues, ethics and legal aspects, Computer Networks and Communications and Artificial Intelligence, having authored 27 papers that have together received 929 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (7 papers), Interpreting and Communication in Healthcare (4 papers), Advanced Statistical Modeling Techniques (4 papers), Nursing Education, Practice, and Leadership (3 papers), Treatment of Major Depression (3 papers), Mental Health Research Topics (3 papers), Human Resource Development and Performance Evaluation (2 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Research and Theory (23 citations), Biological Psychiatry (51 citations), Pharmacology (204 citations), Issues, ethics and legal aspects (14 citations) and Experimental and Cognitive Psychology (166 citations). Ada Woo has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ira H. Bernstein, Thomas Carmody, A. John Rush, Madhukar H. Trivedi, Kathy Shores‐Wilson, Maurizio Fava, Andrew A. Nierenberg, Melanie M. Biggs, Stephen R. Wisniewski and James C. Mundt. Their work appears in journals such as Journal of Nursing Regulation, Educational and Psychological Measurement, Educational Measurement Issues and Practice, European Neuropsychopharmacology and Journal of Psychiatric Research.

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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