Nisha Chanana

13 total papers · 517 total citations
7 papers, 303 citations indexed

About

Nisha Chanana is a scholar working on Organizational Behavior and Human Resource Management, Economics and Econometrics and Clinical Psychology. According to data from OpenAlex, Nisha Chanana has authored 7 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organizational Behavior and Human Resource Management, 3 papers in Economics and Econometrics and 2 papers in Clinical Psychology. Recurrent topics in Nisha Chanana's work include COVID-19 and Mental Health (2 papers), Job Satisfaction and Organizational Behavior (2 papers) and Digital Transformation in Industry (2 papers). Nisha Chanana is often cited by papers focused on COVID-19 and Mental Health (2 papers), Job Satisfaction and Organizational Behavior (2 papers) and Digital Transformation in Industry (2 papers). Nisha Chanana collaborates with scholars based in India and China. Nisha Chanana's co-authors include Chetan Sharma and Y-H. Chen and has published in prestigious journals such as Information, Journal of Public Affairs and Iran Journal of Computer Science.

In The Last Decade

Nisha Chanana

5 papers receiving 261 citations

Author Peers

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

Author Last Decade Papers Cites
Nisha Chanana 133 85 53 47 42 7 303
Marcela-Sefora Nemțeanu 149 1.1× 101 1.2× 88 1.7× 52 1.1× 75 1.8× 10 339
Noor Ahmed Brohi 133 1.0× 62 0.7× 37 0.7× 16 0.3× 27 0.6× 15 266
Promila Agarwal 238 1.8× 55 0.6× 60 1.1× 36 0.8× 85 2.0× 16 346
Tipnuch Phungsoonthorn 142 1.1× 50 0.6× 95 1.8× 76 1.6× 99 2.4× 8 330
Jolly Sahni 98 0.7× 33 0.4× 34 0.6× 28 0.6× 25 0.6× 14 287
Mohd Tariq Jamal 142 1.1× 54 0.6× 105 2.0× 35 0.7× 65 1.5× 14 310
Rusi Sun 195 1.5× 30 0.4× 82 1.5× 16 0.3× 34 0.8× 10 348
Kelly P. Gabriel 101 0.8× 67 0.8× 42 0.8× 31 0.7× 42 1.0× 7 281
Ayşen Berberoğlu 134 1.0× 27 0.3× 40 0.8× 23 0.5× 38 0.9× 16 337
Mosammod Mahamuda Parvin 129 1.0× 26 0.3× 25 0.5× 17 0.4× 36 0.9× 7 264

Countries citing papers authored by Nisha Chanana

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Chanana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Chanana

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