Nilám Ram

297 papers receiving 11.2k citations

Nilám Ram's Hit Papers

Digital Trace Data Collection for Social Media Effects Research: APIs, Data Donation, and (Screen) Tracking 2023 · 85 citations
850+5+11Years since publication250500750

Peers

Nilám Ram
Comparison fields: 5 of 188
  • Neuropsychology and Physiological Psychology 1.4k
  • Applied Psychology 1.1k
  • Experimental and Cognitive Psychology 2.6k
  • Health 1.3k
  • Social Psychology 3.0k
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Angelina R. Sutin United States
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Citations per year

Countries citing papers authored by Nilám Ram

Since Specialization
Citations

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

Fields of papers citing papers by Nilám Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 324 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emotional experience improves with age: Evidence based on over 10 years of experience sampling.
Hit paper breakdown →
2010913
2
Methods and Measures: Growth mixture modeling: A method for identifying differences in longitudinal change among unobserved groups
Hit paper breakdown →
2009905
3 2009330
4 2011280
5 2007245
6 2011230
7 2010178
8 2005177
9 2008162
10 2008158
11 2015155
12 2007147
13 2012140
14 2014139
15 2010138
16 2019130
17 2009128
18 2015123
19 2022123
20 2011119

About Nilám Ram

Nilám Ram is a scholar working on Experimental and Cognitive Psychology, Neuropsychology and Physiological Psychology, Social Psychology, Health and Clinical Psychology, having authored 324 papers that have together received 11.7k indexed citations. Recurring topics across this work include Mental Health Research Topics (57 papers), Aging and Gerontology Research (54 papers), Psychological Well-being and Life Satisfaction (48 papers), Health disparities and outcomes (47 papers), Child and Adolescent Psychosocial and Emotional Development (37 papers), Cognitive Abilities and Testing (25 papers), Attachment and Relationship Dynamics (22 papers) and Behavioral Health and Interventions (21 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (1.4k citations), Applied Psychology (1.1k citations), Experimental and Cognitive Psychology (2.6k citations), Health (1.3k citations) and Social Psychology (3.0k citations). Nilám Ram has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kevin J. Grimm, Denis Gerstorf, John R. Nesselroade, David E. Conroy, Aaron L. Pincus, Ulman Lindenberger, Gert G. Wagner, Laura L. Carstensen, Gregory Russell Samanez-Larkin and Kathryn P. Brooks. Their work appears in journals such as Psychology and Aging, Developmental Psychology, The Journals of Gerontology Series B, Research in Human Development and International Journal of Behavioral Development.

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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