Pooja Nanda

402 citations
17 papers · 175 · h-index 6

Impact in

Papers in

Pooja Nanda

14 papers receiving 163 citations

Peers

Pooja Nanda
Comparison fields: 5 of 54
  • Information Systems 69
  • Computer Science Applications 16
  • Information Systems and Management 20
  • Education 81
  • Management Information Systems 17
Replace Yasir Riady with:
Yasir Riady Indonesia
Akmal Akmal Indonesia
Charu Saxena India
Anna Maria Tammaro Italy
Karin de Jager South Africa
Patricia Willard Australia
Idowu Sulaimon Adeniyi United Kingdom
Kevin Gallagher United States
Thomas van der Walt South Africa
Che Kum Clement Bangladesh
Pooja Nanda relative to Yasir Riady Indonesia Yasir Riady's profile →
Citations per field
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Yasir Riady · 1×
Citations per year

Countries citing papers authored by Pooja Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Pooja Nanda, 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 Pooja Nanda Line = papers co-authored together Pooja Nanda links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018111
2 202216
3 201913
4 20226
5 20216
6 20245
7 20234
8 20233
9 20233
10 20232
11 20212
12 20222
13 20231
14 20231
15 20250
16 20210
17 20230

About Pooja Nanda

Pooja Nanda is a scholar working on Sociology and Political Science, Management Information Systems, Health Information Management, Economics and Econometrics and Information Systems, having authored 17 papers that have together received 175 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Digital Marketing and Social Media (5 papers), Indian Economic and Social Development (4 papers), Global Health and Epidemiology (4 papers), Complex Network Analysis Techniques (3 papers), Innovation and Socioeconomic Development (2 papers), Technology Adoption and User Behaviour (2 papers) and Mobile Learning in Education (2 papers). The work is most often cited by research in Information Systems (69 citations), Computer Science Applications (16 citations), Information Systems and Management (20 citations), Education (81 citations) and Management Information Systems (17 citations). Pooja Nanda has collaborated with scholars based in India, United Arab Emirates and United States. Frequent co-authors include Vikas Kumar and Vikas Kumar. Their work appears in journals such as Information Resources Management Journal, International Journal of Technology Policy and Management, International Journal of Business Information Systems, International Journal of Information and Communication Technology Education and International Journal of Services Operations and Informatics.

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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