Loredana Ivan

1.2k citations
56 papers · 468 · h-index 14

Impact in

Papers in

Loredana Ivan

52 papers receiving 446 citations

Peers

Loredana Ivan
Comparison fields: 5 of 69
  • Neuropsychology and Physiological Psychology 67
  • Demography 208
  • Health 71
  • Communication 46
  • Marketing 43
Replace Kevin H. C. Cheng with:
Kevin H. C. Cheng Hong Kong
Michelle P. Lee Singapore
Nicholas A. Smith United States
Barbara Adkins Australia
Lynn Holdsworth United Kingdom
Dana Unger Germany
Sebastian Stegmann Germany
Jorge Correia Jesuíno Portugal
Eva P. W. Hung Macao
Loredana Ivan relative to Kevin H. C. Cheng Hong Kong Kevin H. C. Cheng's profile →
Citations per field
00.5×7.7×
Kevin H. C. Cheng · 1×
Citations per year

Countries citing papers authored by Loredana Ivan

Since Specialization
Citations

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

Fields of papers citing papers by Loredana Ivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202039
2 202138
3 201833
4 201632
5 202232
6 201729
7 202329
8 201622
9 201917
10 202014
11
201714
12 202013
13 201813
14 202013
15 201912
16 202412
17 20179
18 20238
19 20217
20 20247

About Loredana Ivan

Loredana Ivan is a scholar working on Demography, Sociology and Political Science, Education, Neuropsychology and Physiological Psychology and Communication, having authored 56 papers that have together received 468 indexed citations. Recurring topics across this work include Technology Use by Older Adults (17 papers), Aging and Gerontology Research (8 papers), Impact of Technology on Adolescents (6 papers), Social Media and Politics (6 papers), Migration, Aging, and Tourism Studies (4 papers), Health disparities and outcomes (4 papers), Child Development and Digital Technology (4 papers) and Cultural Industries and Urban Development (4 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (67 citations), Demography (208 citations), Health (71 citations), Communication (46 citations) and Marketing (43 citations). Loredana Ivan has collaborated with scholars based in Romania, Netherlands and United States. Frequent co-authors include Eugène Loos, Mireia Fernández-Ardèvol, Joost van Hoof, Stephen J. Cutler, Shannon Hebblethwaite, Galit Nimrod, Jeroen Dikken, Donald J. Leu, Alexandra Zbuchea and Jolanta Perek‐Białas. Their work appears in journals such as Revista de Cercetare si Interventie Sociala, New Media & Society, American Behavioral Scientist, The Gerontologist and Cities.

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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