Nitish Singh

3.8k citations
78 papers · 2.7k · h-index 28

Impact in

Papers in

Nitish Singh

74 papers receiving 2.4k citations

Peers

Nitish Singh
Comparison fields: 5 of 97
  • Information Systems and Management 727
  • Marketing 880
  • Human-Computer Interaction 340
  • Organizational Behavior and Human Resource Management 588
  • Communication 293
Replace Amanda J. Broderick with:
Amanda J. Broderick United Kingdom
Kelly Hewett United States
Denni Arli Australia
Carmen Camarero Izquierdo Spain
Efthymios Constantinides Netherlands
Willemijn van Dolen Netherlands
Isabel Buil Spain
Sertan Kabadayi United States
Manuel J. Sánchez‐Franco Spain
Eugene Cheng‐Xi Aw Malaysia
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Citations per field
00.5×1.5×1.9×
Amanda J. Broderick · 1×
Citations per year

Countries citing papers authored by Nitish Singh

Since Specialization
Citations

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

Fields of papers citing papers by Nitish Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nitish Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nitish Singh Line = papers co-authored together Nitish Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 2003187
3 2005160
4 2015138
5 2011133
6 2006131
7 2002120
8 2006115
9 2002106
10 2005103
11 200589
12 200479
13 200671
14 200671
15 200863
16 201660
17 200354
18 201247
19 201043
20 200542

About Nitish Singh

Nitish Singh is a scholar working on Sociology and Political Science, Marketing, Strategy and Management, Human-Computer Interaction and Organizational Behavior and Human Resource Management, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (33 papers), Consumer Behavior in Brand Consumption and Identification (20 papers), Digital Communication and Language (19 papers), Customer Service Quality and Loyalty (15 papers), Technology Adoption and User Behaviour (15 papers), Innovation and Knowledge Management (9 papers), Business Strategy and Innovation (6 papers) and Digital Platforms and Economics (5 papers). The work is most often cited by research in Information Systems and Management (727 citations), Marketing (880 citations), Human-Computer Interaction (340 citations), Organizational Behavior and Human Resource Management (588 citations) and Communication (293 citations). Nitish Singh has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Daniel Baack, Xiaorui Hu, Kevin Lehnert, Peter Magnusson, Arun Pereira, Sumit K. Kundu, Vikas Kumar, Hisako Matsuo, Georg Fassott and Colleen M. Harmeling. Their work appears in journals such as Journal of electronic commerce research, Thunderbird International Business Review, International Marketing Review, Journal of Business Research and ACM SIGMIS Database the DATABASE for Advances in Information Systems.

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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