Philip Tata

9.0k citations
41 papers · 6.9k indexed · 2 hit papers · h-index 26

Philip Tata

41 papers receiving 6.7k citations

Hit Papers

Attentional bias in emotional disorders.2.1k198620261999201250010001.5k2.0k

Peers

Philip Tata
Comparison fields: 5 of 129
  • Experimental and Cognitive Psychology 3.7k
  • Clinical Psychology 3.4k
  • Cognitive Neuroscience 2.5k
  • Behavioral Neuroscience 371
  • Applied Psychology 524
Replace S. Rachman with:
S. Rachman Canada
Nader Amir United States
Michael J. Kozak United States
Michael J. Telch United States
Jenny Yiend United Kingdom
Eni S. Becker Netherlands
Meredith E. Coles United States
Josh M. Cisler United States
Scott R. Vrana United States
Rick E. Ingram United States
Philip Tata relative to S. Rachman Canada S. Rachman's profile →
Citations per field
00.5×2.8×
S. Rachman · 1×
Citations per year

Countries citing papers authored by Philip Tata

Since Specialization
Citations

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

Fields of papers citing papers by Philip Tata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201319
2 201012
3 20097
4 200870
5 200727
6 2006220
7 200641
8 2005101
9 200446
10 200419
11 2002401
12 2002311
13 200257
14 2000101
15 1999172
16 1999168
17 199617
18 1996122
19 199465
20 198730

About Philip Tata

Philip Tata is a scholar working on Clinical Psychology, Applied Psychology and Experimental and Cognitive Psychology, having authored 41 papers that have together received 6.9k indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers), Personality Disorders and Psychopathology (8 papers), Suicide and Self-Harm Studies (7 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers), Mental Health Treatment and Access (5 papers), Identity, Memory, and Therapy (4 papers), Psychosomatic Disorders and Their Treatments (4 papers) and Psychopathy, Forensic Psychiatry, Sexual Offending (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (3.7k citations), Clinical Psychology (3.4k citations) and Cognitive Neuroscience (2.5k citations). Philip Tata has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Colin MacLeod, Andrew Mathews, Chris R. Brewin, Martina Reynolds, Peter Tyrer, Andrew K. MacLeod, John Green, Suzanna Rose, Edna B. Foa and Bernice Andrews. Their work appears in journals such as Psychological Medicine, Journal of Abnormal Psychology, Journal of Personality Disorders, British Journal of Clinical Psychology and Clinical Psychology & Psychotherapy.

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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