Nahid Tabatabai

53 total papers · 621 total citations
22 papers, 242 citations indexed

About

Nahid Tabatabai is a scholar working on Demography, Accounting and General Health Professions. According to data from OpenAlex, Nahid Tabatabai has authored 22 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Demography, 14 papers in Accounting and 13 papers in General Health Professions. Recurrent topics in Nahid Tabatabai's work include Retirement, Disability, and Employment (18 papers), Financial Literacy, Pension, Retirement Analysis (14 papers) and Global Health Care Issues (11 papers). Nahid Tabatabai is often cited by papers focused on Retirement, Disability, and Employment (18 papers), Financial Literacy, Pension, Retirement Analysis (14 papers) and Global Health Care Issues (11 papers). Nahid Tabatabai collaborates with scholars based in United States and United Kingdom. Nahid Tabatabai's co-authors include Thomas L. Steinmeier and Alan L. Gustman and has published in prestigious journals such as American Economic Review, The Journal of Economic Perspectives and National Tax Journal.

In The Last Decade

Nahid Tabatabai

20 papers receiving 224 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nahid Tabatabai 178 155 111 106 26 22 242
Raun van Ooijen 112 0.6× 86 0.6× 101 0.9× 83 0.8× 24 0.9× 21 228
David McCarthy 147 0.8× 137 0.9× 103 0.9× 94 0.9× 61 2.3× 28 237
Anette Reil‐Held 95 0.5× 84 0.5× 84 0.8× 87 0.8× 15 0.6× 16 186
Michela Coppola 97 0.5× 92 0.6× 95 0.9× 97 0.9× 27 1.0× 22 220
Alfonso R. Sánchez Martín 135 0.8× 168 1.1× 115 1.0× 115 1.1× 37 1.4× 18 268
Irena Dushi 214 1.2× 219 1.4× 109 1.0× 171 1.6× 16 0.6× 36 310
Benedict Koh 177 1.0× 90 0.6× 112 1.0× 77 0.7× 32 1.2× 25 267
Monika Queisser 139 0.8× 154 1.0× 82 0.7× 146 1.4× 70 2.7× 23 318
María del Carmen Boado‐Penas 179 1.0× 199 1.3× 49 0.4× 172 1.6× 16 0.6× 27 261
Rowena Crawford 97 0.5× 73 0.5× 65 0.6× 82 0.8× 42 1.6× 30 200

Countries citing papers authored by Nahid Tabatabai

Since Specialization
Citations

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

Fields of papers citing papers by Nahid Tabatabai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahid Tabatabai

This figure shows the co-authorship network connecting the top 25 collaborators of Nahid Tabatabai. A scholar is included among the top collaborators of Nahid Tabatabai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nahid Tabatabai. Nahid Tabatabai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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