Nidhi Vij

10 total papers · 485 total citations
6 papers, 350 citations indexed

About

Nidhi Vij is a scholar working on Sociology and Political Science, Safety Research and Soil Science. According to data from OpenAlex, Nidhi Vij has authored 6 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in Safety Research and 2 papers in Soil Science. Recurrent topics in Nidhi Vij's work include Agricultural risk and resilience (2 papers), Poverty, Education, and Child Welfare (2 papers) and Income, Poverty, and Inequality (2 papers). Nidhi Vij is often cited by papers focused on Agricultural risk and resilience (2 papers), Poverty, Education, and Child Welfare (2 papers) and Income, Poverty, and Inequality (2 papers). Nidhi Vij collaborates with scholars based in United States. Nidhi Vij's co-authors include Rosemary O’Leary, J. Ramón Gil-García, Anna Ya Ni and Yunfei Hou and has published in prestigious journals such as The American Review of Public Administration, IDS Bulletin and Human Affairs.

In The Last Decade

Nidhi Vij

6 papers receiving 331 citations

Hit Papers

Collaborative Public Mana... 2012 2026 2016 2021 2012 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nidhi Vij 169 156 102 67 40 6 350
Peter Plastrik 167 1.0× 95 0.6× 132 1.3× 67 1.0× 70 1.8× 11 400
Brian J. Reed 128 0.8× 123 0.8× 129 1.3× 51 0.8× 52 1.3× 12 382
Kyu-Nahm Jun 136 0.8× 144 0.9× 195 1.9× 55 0.8× 47 1.2× 9 400
Richard Common 104 0.6× 105 0.7× 135 1.3× 81 1.2× 46 1.1× 19 371
Joost Fledderus 143 0.8× 110 0.7× 84 0.8× 27 0.4× 33 0.8× 6 326
Jocelyne Bourgon 107 0.6× 93 0.6× 110 1.1× 42 0.6× 19 0.5× 17 298
Mary Bryna Sanger 160 0.9× 83 0.5× 93 0.9× 47 0.7× 23 0.6× 13 294
Zsuzsanna Lonti 148 0.9× 56 0.4× 104 1.0× 63 0.9× 49 1.2× 12 317
Stéphane Moyson 112 0.7× 89 0.6× 188 1.8× 55 0.8× 30 0.8× 18 349
Ulrik Hvidman 171 1.0× 131 0.8× 63 0.6× 40 0.6× 55 1.4× 8 325

Countries citing papers authored by Nidhi Vij

Since Specialization
Citations

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

Fields of papers citing papers by Nidhi Vij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nidhi Vij

This figure shows the co-authorship network connecting the top 25 collaborators of Nidhi Vij. A scholar is included among the top collaborators of Nidhi Vij 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 Nidhi Vij. Nidhi Vij 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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