Ada Woo

23 papers receiving 836 citations

Peers

Ada Woo
Comparison fields: 5 of 95
  • Biological Psychiatry 85
  • Research and Theory 27
  • Experimental and Cognitive Psychology 316
  • Pharmacology 304
  • Psychiatry and Mental health 181
Replace Jeffrey J. Rakofsky with:
Jeffrey J. Rakofsky United States
Marilyn A. Davies United States
Zhengxue Qiao China
David Healy United Kingdom
Ali Sahraian Iran
Harry McConnell Australia
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005314
2 2006194
3 2006103
4 200644
5 201641
6
Assessing Higher-Order Cognitive Constructs by Using an Information-Processing Framework
201631
7 200923
8 200919
9 200919
10 201917
11 201116
12 200614
13 200610
14 20179
15 20129
16 20114
17 20144
18
Assessing DIF among small samples with separate calibration t and Mantel-Haenszel χ² statistics in the Rasch model.
20133
19
Setting an English Language Proficiency Passing Standard for Entry-Level Nursing Practice Using the Pearson Test of English Academic
20103
20 20092

About Ada Woo

Ada Woo is a scholar working on General Health Professions, Management Science and Operations Research, Issues, ethics and legal aspects, Experimental and Cognitive Psychology and Computer Networks and Communications, having authored 24 papers that have together received 885 indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (6 papers), Mental Health Research Topics (5 papers), Interpreting and Communication in Healthcare (4 papers), Advanced Statistical Modeling Techniques (4 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Treatment of Major Depression (4 papers), Nursing Education, Practice, and Leadership (3 papers) and Nursing Diagnosis and Documentation (2 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Research and Theory (27 citations), Experimental and Cognitive Psychology (316 citations), Pharmacology (304 citations) and Psychiatry and Mental health (181 citations). Ada Woo has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ira H. Bernstein, Madhukar H. Trivedi, A. John Rush, Thomas Carmody, Melanie M. Biggs, Andrew A. Nierenberg, Kathy Shores‐Wilson, Stephen R. Wisniewski, James C. Mundt and Maurizio Fava. Their work appears in journals such as Journal of Nursing Regulation, Educational and Psychological Measurement, Biological Psychiatry, Journal of Psychiatric Research and Journal of Drug Issues.

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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