Anuja Arora

2.3k total citations · 1 hit paper
84 papers, 1.4k citations indexed

About

Anuja Arora is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anuja Arora has authored 84 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 27 papers in Information Systems and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anuja Arora's work include Complex Network Analysis Techniques (16 papers), Sentiment Analysis and Opinion Mining (10 papers) and Spam and Phishing Detection (9 papers). Anuja Arora is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Sentiment Analysis and Opinion Mining (10 papers) and Spam and Phishing Detection (9 papers). Anuja Arora collaborates with scholars based in India, United Kingdom and Australia. Anuja Arora's co-authors include Shivam Bansal, Yogesh K. Dwivedi, Reema Aswani, Arti Jain, Aman Srivastava, Divakar Yadav, Saurabh Gupta, Adarsh Anand, Ambikesh Jayal and M Cafferkey and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Information Management.

In The Last Decade

Anuja Arora

80 papers receiving 1.3k citations

Hit Papers

Measuring social media influencer index- insights from fa... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Measuring social media influencer index- insights from facebook, Twitter and Instagram
    2019 388 citations Anuja Arora, Shivam Bansal et al. Journal of Retailing and Consumer Services profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anuja Arora India 17 539 473 412 147 124 84 1.4k
Muhammad Zubair Asghar Pakistan 28 357 0.7× 1.3k 2.7× 541 1.3× 51 0.3× 188 1.5× 100 2.1k
Saeed‐Ul Hassan Pakistan 28 219 0.4× 917 1.9× 440 1.1× 39 0.3× 120 1.0× 114 2.3k
Chen Zhang China 18 195 0.4× 328 0.7× 466 1.1× 78 0.5× 149 1.2× 105 1.5k
Costas Vassilakis Greece 21 275 0.5× 648 1.4× 654 1.6× 71 0.5× 382 3.1× 162 1.8k
Rafael Valencia-Garcı́a Spain 26 291 0.5× 1.3k 2.8× 1.1k 2.6× 39 0.3× 256 2.1× 131 2.2k
Przemysław Kazienko Poland 23 318 0.6× 791 1.7× 439 1.1× 74 0.5× 186 1.5× 117 2.1k
Hamed Jelodar China 12 398 0.7× 767 1.6× 313 0.8× 66 0.4× 157 1.3× 27 1.7k
Benjamin Fabian Germany 20 337 0.6× 485 1.0× 742 1.8× 42 0.3× 388 3.1× 90 1.5k
Martin Schader Germany 17 156 0.3× 465 1.0× 459 1.1× 47 0.3× 199 1.6× 78 1.6k
Maizatul Akmar Ismail Malaysia 20 177 0.3× 593 1.3× 504 1.2× 65 0.4× 151 1.2× 89 1.7k

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-authorship network of co-authors of Anuja Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Anuja Arora. A scholar is included among the top collaborators of Anuja Arora 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 Anuja Arora. Anuja Arora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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2.
Arora, Anuja, et al.. (2023). A novel multimodal online news popularity prediction model based on ensemble learning. Expert Systems. 40(8). 2 indexed citations
3.
Arora, Anuja, et al.. (2023). Next Generation of Multi-Agent Driven Smart City Applications and Research Paradigms. IEEE Open Journal of the Communications Society. 4. 2104–2121. 10 indexed citations
4.
Arora, Anuja, et al.. (2023). Assessment of bidirectional transformer encoder model and attention based bidirectional LSTM language models for fake news detection. Journal of Retailing and Consumer Services. 76. 103545–103545. 13 indexed citations
5.
Arora, Anuja, et al.. (2023). GIN-FND: Leveraging users’ preferences for graph isomorphic network driven fake news detection. Multimedia Tools and Applications. 83(22). 62061–62087. 6 indexed citations
6.
Jain, Arti, et al.. (2022). Automatic Text Summarization for Hindi Using Real Coded Genetic Algorithm. Applied Sciences. 12(13). 6584–6584. 22 indexed citations
7.
Arora, Anuja, et al.. (2022). Detecting Community Structure in Financial Markets Using the Bat Optimization Algorithm. International Journal of Information Technology Project Management. 13(3). 1–21.
8.
Arora, Anuja, et al.. (2021). ImageFake: An Ensemble Convolution Models Driven Approach for Image Based Fake News Detection. 182–187. 6 indexed citations
9.
Jain, Arti, Divakar Yadav, & Anuja Arora. (2021). Particle Swarm Optimization for Punjabi Text Summarization. International Journal of Operations Research and Information Systems. 12(3). 1–17. 9 indexed citations
10.
Narayanamoorthy, Samayan, et al.. (2020). A distinctive analyzation of intuitionistic fuzzy queueing system using Erlang service model. AIP conference proceedings. 2274. 30040–30040. 2 indexed citations
11.
Narayanamoorthy, Samayan, et al.. (2020). Analyzation of fuzzy queueing performance measures by the L-R method with Erlang service model. AIP conference proceedings. 2274. 30055–30055. 1 indexed citations
12.
Arora, Anuja, et al.. (2019). Artificial Bee Colony-Based Influence Maximization Approach for Social Coding Portal GitHub. International Journal of Swarm Intelligence Research. 10(2). 34–47. 4 indexed citations
13.
Lasisi, Ayodele, Nasser Tairan, Rozaida Ghazali, et al.. (2019). Predicting Crude Oil Price Using Fuzzy Rough Set and Bio-Inspired Negative Selection Algorithm. International Journal of Swarm Intelligence Research. 10(4). 25–37. 5 indexed citations
14.
Arora, Anuja, et al.. (2018). Modeling and characterizing viewers of You Tube videos. International Journal of Systems Assurance Engineering and Management. 9(2). 539–546. 14 indexed citations
15.
Arora, Anuja, et al.. (2017). Multivariate Features Based Instagram Post Analysis to Enrich User Experience. Procedia Computer Science. 122. 138–145. 16 indexed citations
16.
Arora, Anuja, et al.. (2017). Brand analysis framework for online marketing: ranking web pages and analyzing popularity of brands on social media. Social Network Analysis and Mining. 7(1). 26 indexed citations
17.
Arora, Anuja, et al.. (2017). Multiple metric aware YouTube tutorial videos virality analysis. 2(4). 362–362. 2 indexed citations
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Arora, Anuja, et al.. (2014). State based test case generation using VCL-GA. 53. 661–665. 3 indexed citations

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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