David Tuckett

82 papers receiving 1.5k citations

Peers

David Tuckett
Comparison fields: 5 of 137
  • General Psychology 104
  • General Decision Sciences 139
  • Finance 234
  • Clinical Psychology 362
  • Family Practice 29
Replace Daniel Martin with:
Daniel Martin United States
Timothy M. Osberg United States
Michael Hubbard United States
Charles S. Reichardt United States
Richard Lempert United States
Jay Christensen-Szalanski United States
Mandeep K. Dhami United Kingdom
Efrat Neter Israel
Ruth Reed United Kingdom
N. S. Fagley United States
David Tuckett relative to Daniel Martin United States Daniel Martin's profile →
Citations per field
00.5×3.4×
Daniel Martin · 1×
Citations per year

Countries citing papers authored by David Tuckett

Since Specialization
Citations

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

Fields of papers citing papers by David Tuckett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987286
2 2005101
3 201778
4 200877
5 197769
6 202167
7 201163
8 201460
9 200860
10 201150
11 198550
12 202246
13 198446
14 201839
15 197736
16
Some thoughts on the presentation and discussion of the clinical material of psychoanalysis.
199336
17 201828
18 201227
19 198626
20 201426

About David Tuckett

David Tuckett is a scholar working on Clinical Psychology, Computer Networks and Communications, Sociology and Political Science, Information Systems and Management and Economics and Econometrics, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Psychotherapy Techniques and Applications (20 papers), Distributed and Parallel Computing Systems (11 papers), Advanced Data Storage Technologies (10 papers), Financial Markets and Investment Strategies (9 papers), Scientific Computing and Data Management (9 papers), Decision-Making and Behavioral Economics (7 papers), Market Dynamics and Volatility (6 papers) and Complex Systems and Time Series Analysis (6 papers). The work is most often cited by research in General Psychology (104 citations), General Decision Sciences (139 citations), Finance (234 citations), Clinical Psychology (362 citations) and Family Practice (29 citations). David Tuckett has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Mary Boulton, Phil Brown, Anthony Williams, Richard Taffler, Martha E. Wadsworth, Samuel G. B. Johnson, Sujit Kapadia, Robert E. Smith, Giacomo Livan and Nigel Harvey. Their work appears in journals such as The International Journal of Psychoanalysis, Journal of Behavioral Decision Making, Journal of the American Psychoanalytic Association, Psychoanalytic Inquiry and Journal of Economic Dynamics and Control.

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.

Explore authors with similar magnitude of impact