Nidhi Singh
- Information Systems and Management top 0.2%
- Sociology and Political Science top 2%
- Marketing top 1%
- Management Information Systems top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Neena SinhaFrancisco Liébana‐CabanillasZoran KalinićShalini SrivastavaSonali SinghH PengLang PanPG Isaacson
- Topics
- Technology Adoption and User Behaviour (18 papers)Digital Marketing and Social Media (14 papers)Consumer Retail Behavior Studies (10 papers)
- Partner nations
- IndiaUnited KingdomSpain
In The Last Decade
Nidhi Singh
55 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Information Systems and Management 1.1k
- Sociology and Political Science 829
- Marketing 641
- Management Information Systems 327
- Pathology and Forensic Medicine 292
Countries citing papers authored by Nidhi Singh
This map shows the geographic impact of Nidhi Singh'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 Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nidhi Singh more than expected).
Fields of papers citing papers by Nidhi Singh
This network shows the impact of papers produced by Nidhi Singh. 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 Singh. The network helps show where Nidhi Singh may publish in the future.
Co-authorship network of co-authors of Nidhi Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Nidhi Singh. A scholar is included among the top collaborators of Nidhi Singh 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 Singh. Nidhi Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 38 | |
| 7 | 48 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 16 | |
| 11 | 21 | |
| 12 | 28 | |
| 13 | 119 | |
| 14 | 33 | |
| 15 | 1 | |
| 16 | ナノ構造Mn2Ni1.6Sn0.4溶融紡糸リボンにおけるオーステナイト‐マルテンサイト相転移及びスピンガラス挙動の磁気的性質 | 1 |
| 17 | Globalization of the Indian Pharmaceutical Industry: Implications for Innovation | 14 |
| 18 | 101 | |
| 19 | 44 | |
| 20 | Replication error phenotype and p53 gene mutation in lymphomas of mucosa-associated lymphoid tissue. | 95 |
About Nidhi Singh
Nidhi Singh is a scholar working on Information Systems and Management, Marketing and Business and International Management, having authored 62 papers that have together received 2.3k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (18 papers), Digital Marketing and Social Media (14 papers) and Consumer Retail Behavior Studies (10 papers). The work is most often cited by research in Information Systems and Management (1.1k citations), Marketing (641 citations) and Management Information Systems (327 citations). Nidhi Singh has collaborated with scholars based in India, United Kingdom and Spain. Frequent co-authors include Neena Sinha, Francisco Liébana‐Cabanillas, Zoran Kalinić, Shalini Srivastava, Sonali Singh, H Peng, Lang Pan, PG Isaacson, Ming Du and Elena Carvajal-Trujillo. Their work appears in journals such as Blood, British Journal of Cancer and Expert Systems with Applications.
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.