Anuja Arora

95 papers receiving 1.6k citations

Anuja Arora's Hit Papers

Measuring social media influencer index- insights from facebook, Twitter and Instagram 2019 · 441 citations
4410+2+4Years since publication100200300400

Peers

Anuja Arora
Comparison fields: 5 of 142
  • Computational Mathematics 17
  • Information Systems 490
  • Information Systems and Management 136
  • Marketing 176
  • Artificial Intelligence 584
Replace Jianshan Sun with:
Jianshan Sun China
Juan C. Burguillo Spain
Kevin Lü United Kingdom
Mouzhi Ge Czechia
Francesco Colace Italy
Sarabjot Singh Anand United Kingdom
Longqi Yang United States
Thomas Risse Germany
Yezheng Liu China
Gema Bello-Orgaz Spain
Anuja Arora relative to Jianshan Sun China Jianshan Sun's profile →
Citations per field
00.5×3.4×
Jianshan Sun · 1×
Citations per year

Countries citing papers authored by Anuja Arora

Since Specialization
Citations

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

Fields of papers citing papers by Anuja Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anuja Arora, 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 Anuja Arora Line = papers co-authored together Anuja Arora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring social media influencer index- insights from facebook, Twitter and Instagram
Hit paper breakdown →
2019441
2 2020177
3 2019111
4 201872
5 201459
6 201759
7 201957
8 201448
9 201735
10 199131
11 202128
12 201728
13 201626
14 202225
15 201923
16
Web Application Testing: A Review on Techniques, Tools and State of Art
201221
17 201720
18 201719
19 201617
20 201117

About Anuja Arora

Anuja Arora is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 106 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (17 papers), Topic Modeling (14 papers), Sentiment Analysis and Opinion Mining (14 papers), Spam and Phishing Detection (13 papers), Recommender Systems and Techniques (10 papers), Digital Marketing and Social Media (9 papers), Text and Document Classification Technologies (9 papers) and Misinformation and Its Impacts (7 papers). The work is most often cited by research in Computational Mathematics (17 citations), Information Systems (490 citations), Information Systems and Management (136 citations), Marketing (176 citations) and Artificial Intelligence (584 citations). Anuja Arora has collaborated with scholars based in India, United Kingdom and Australia. Frequent co-authors include Shivam Bansal, Yogesh K. Dwivedi, Reema Aswani, Arti Jain, Divakar Yadav, Saurabh Gupta, Aman Srivastava, Adarsh Anand, Ambikesh Jayal and Chetna Gupta. Their work appears in journals such as Journal of Retailing and Consumer Services, Social Network Analysis and Mining, Expert Systems with Applications, IEEE Open Journal of the Communications Society and Kybernetes.

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.

Explore authors with similar magnitude of impact