Indu Khurana

34 total papers · 650 total citations
24 papers, 381 citations indexed

About

Indu Khurana is a scholar working on Management of Technology and Innovation, Economics and Econometrics and Accounting. According to data from OpenAlex, Indu Khurana has authored 24 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management of Technology and Innovation, 8 papers in Economics and Econometrics and 8 papers in Accounting. Recurrent topics in Indu Khurana's work include Entrepreneurship Studies and Influences (10 papers), Private Equity and Venture Capital (6 papers) and Innovation and Socioeconomic Development (4 papers). Indu Khurana is often cited by papers focused on Entrepreneurship Studies and Influences (10 papers), Private Equity and Venture Capital (6 papers) and Innovation and Socioeconomic Development (4 papers). Indu Khurana collaborates with scholars based in United States, India and United Kingdom. Indu Khurana's co-authors include Dev K. Dutta, Amarpreet Singh Ghura, Joseph Farhat, Mark T. Schenkel, Jagannadha Pawan Tamvada, David B. Audretsch, Siri Terjesen, Alexis Habiyaremye, Carmen Cotei and Henry J. Donahue and has published in prestigious journals such as Journal of Business Research, Technological Forecasting and Social Change and Small Business Economics.

In The Last Decade

Indu Khurana

23 papers receiving 352 citations

Hit Papers

SMEs and digital transfor... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Indu Khurana 153 148 106 71 61 24 381
Cristina Blanco González‐Tejero 134 0.9× 108 0.7× 100 0.9× 55 0.8× 32 0.5× 25 400
Daniele Battaglia 159 1.0× 174 1.2× 93 0.9× 38 0.5× 35 0.6× 17 395
Ivano Dileo 110 0.7× 130 0.9× 111 1.0× 31 0.4× 29 0.5× 23 334
Chiara Cannavale 124 0.8× 119 0.8× 47 0.4× 43 0.6× 36 0.6× 27 335
Alessandro Giudici 139 0.9× 244 1.6× 52 0.5× 86 1.2× 35 0.6× 18 439
Héctor Cuevas‐Vargas 101 0.7× 131 0.9× 173 1.6× 62 0.9× 34 0.6× 42 399
Hongjia Ma 132 0.9× 191 1.3× 57 0.5× 48 0.7× 56 0.9× 21 410
José Antonio Clemente‐Almendros 95 0.6× 149 1.0× 109 1.0× 31 0.4× 98 1.6× 30 393
Sarah Lai‐Yin Cheah 105 0.7× 191 1.3× 92 0.9× 33 0.5× 38 0.6× 21 439
Kaja Rangus 141 0.9× 243 1.6× 71 0.7× 42 0.6× 46 0.8× 13 435

Countries citing papers authored by Indu Khurana

Since Specialization
Citations

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

Fields of papers citing papers by Indu Khurana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indu Khurana

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