Daniel Greene

38 papers receiving 1.1k citations

Hit Papers

Using design thinking to improve psychological interventions: The case of the growth mindset during the transition to high school. 2016 · 473 citations
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Peers

Daniel Greene
Comparison fields: 5 of 143
  • Computer Science Applications 159
  • Experimental and Cognitive Psychology 250
  • Social Psychology 258
  • Applied Psychology 55
  • Developmental and Educational Psychology 90
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Maryam Hussain United States
Florence Dumas France
Seyoung Lee South Korea
Catharina M.P. Vos Netherlands
Jung Yeon Park United States
Chun‐Yen Tsai Taiwan
Suzanne Young United States
Keiichi Kobayashi Japan
Susan Miller United States
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Citations per year

Countries citing papers authored by Daniel Greene

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using design thinking to improve psychological interventions: The case of the growth mindset during the transition to high school.
Hit paper breakdown →
2016473
2
Dropout Prediction in MOOCs using Learner Activity Features
2014156
3 201671
4 201659
5 201158
6 201636
7 201132
8 201732
9 202122
10 201518
11 201616
12 201715
13 201914
14 201212
15 20209
16 20178
17 20188
18 20188
19 20108
20 20178

About Daniel Greene

Daniel Greene is a scholar working on Chemical Health and Safety, Transplantation, Pulmonary and Respiratory Medicine, Urology and Pediatrics, Perinatology and Child Health, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Pediatric Urology and Nephrology Studies (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Urologic and reproductive health conditions (4 papers), Radiation Dose and Imaging (3 papers) and Bacillus and Francisella bacterial research (3 papers). The work is most often cited by research in Computer Science Applications (159 citations), Experimental and Cognitive Psychology (250 citations), Social Psychology (258 citations), Applied Psychology (55 citations) and Developmental and Educational Psychology (90 citations). Daniel Greene has collaborated with scholars based in United States, United Kingdom and Egypt. Frequent co-authors include Sherif Halawa, Ernest Turro, Sylvia Richardson, Cintia Hinojosa, Alice Roberts, Barbara Schneider, J. O’Brien, Kate Flint, Christopher Hulleman and Gregory M. Walton. Their work appears in journals such as The Journal of Urology, Urology, Journal of Endourology, Health Security and Blood.

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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