Nikhat Akhtar

565 total citations
30 papers, 311 citations indexed

About

Nikhat Akhtar is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Nikhat Akhtar has authored 30 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Nikhat Akhtar's work include Big Data and Business Intelligence (3 papers), Artificial Intelligence in Healthcare (3 papers) and Recommender Systems and Techniques (3 papers). Nikhat Akhtar is often cited by papers focused on Big Data and Business Intelligence (3 papers), Artificial Intelligence in Healthcare (3 papers) and Recommender Systems and Techniques (3 papers). Nikhat Akhtar collaborates with scholars based in India and Saudi Arabia. Nikhat Akhtar's co-authors include Yusuf Perwej, Syed Qamar Abbas, Shivam Chaturvedi, Vivek Jain, Saurabh Sharma, L. Guganathan, Nirmal Kaur, Farheen Siddiqui, Vaishali Singh and Shailendra Verma and has published in prestigious journals such as Swarm and Evolutionary Computation, Transactions on Machine Learning and Artificial Intelligence and International Journal of Applied Information Systems.

In The Last Decade

Nikhat Akhtar

28 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhat Akhtar India 11 131 78 72 65 54 30 311
Md. Anwar Hussen Wadud Bangladesh 13 113 0.9× 192 2.5× 46 0.6× 37 0.6× 51 0.9× 33 379
Shaheen Khatoon Saudi Arabia 9 58 0.4× 79 1.0× 75 1.0× 20 0.3× 29 0.5× 31 257
Zia Saquib India 9 61 0.5× 41 0.5× 75 1.0× 77 1.2× 70 1.3× 33 283
V. Lakshman Narayana India 11 69 0.5× 147 1.9× 54 0.8× 28 0.4× 59 1.1× 26 311
Taher Al‐Shehari Saudi Arabia 10 126 1.0× 107 1.4× 160 2.2× 81 1.2× 21 0.4× 36 331
Sujala D. Shetty United Arab Emirates 10 90 0.7× 112 1.4× 58 0.8× 24 0.4× 34 0.6× 34 275
Mostafijur Rahman Bangladesh 7 76 0.6× 75 1.0× 44 0.6× 28 0.4× 60 1.1× 45 272
Sudhakar Kumar India 11 36 0.3× 66 0.8× 78 1.1× 43 0.7× 22 0.4× 43 256
R. Parvathi India 10 55 0.4× 104 1.3× 38 0.5× 20 0.3× 26 0.5× 48 276
Simona Ramanauskaitė Lithuania 9 159 1.2× 89 1.1× 73 1.0× 44 0.7× 33 0.6× 46 278

Countries citing papers authored by Nikhat Akhtar

Since Specialization
Citations

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

Fields of papers citing papers by Nikhat Akhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhat Akhtar

This figure shows the co-authorship network connecting the top 25 collaborators of Nikhat Akhtar. A scholar is included among the top collaborators of Nikhat Akhtar 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 Nikhat Akhtar. Nikhat Akhtar 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
1.
Perwej, Yusuf, et al.. (2025). AI-Powered Crop Recommendation for Smart Farming, Current Barriers, and Future Perspectives. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 11(5). 308–323. 1 indexed citations
2.
Perwej, Yusuf, et al.. (2025). Optimizing Crop Yield Forecasts through Deep Neural Network Architectures Using Omdena Dataset. International Journal of Scientific Research in Science Engineering and Technology. 12(5). 377–389.
3.
4.
Perwej, Yusuf, et al.. (2025). Cloud-Centric Architectures for Social Media: A Review of Challenges and Evolutionary Trends. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 11(3). 1055–1071.
5.
Akhtar, Nikhat, et al.. (2025). AI-Driven Crop Disease Detection and Management in Smart Agriculture. International Journal of Scientific Research in Science and Technology. 12(3). 309–319. 3 indexed citations
6.
Akhtar, Nikhat, et al.. (2024). Machine Learning for the Diagnosis and Prognosis of Chronic Illnesses. International Journal of Scientific Research in Science Engineering and Technology. 11(3). 112–122. 1 indexed citations
7.
Akhtar, Nikhat, et al.. (2024). Diffusion Dynamics Applied with Novel Methodologies. International Journal of Innovative Research in Computer Science & Technology. 12(4). 52–58. 6 indexed citations
8.
Akhtar, Nikhat, et al.. (2023). A Breast Cancer Diagnosis Framework Based on Machine Learning. International Journal of Scientific Research in Science Engineering and Technology. 118–132. 11 indexed citations
9.
Akhtar, Nikhat, et al.. (2023). Tropical Convolutional Neural Networks (TCNNs) Based Methods for Breast Cancer Diagnosis. International Journal of Scientific Research in Science and Technology. 1100–1116. 7 indexed citations
10.
Chaturvedi, Shivam, et al.. (2022). "A Framework for Voting Behavior Prediction Using Spatial Data ". International Journal of Innovative Research in Computer Science & Technology. 19–28. 13 indexed citations
11.
12.
Akhtar, Nikhat, et al.. (2022). An Intelligent Motion Detection Using OpenCV. International Journal of Scientific Research in Science Engineering and Technology. 51–63. 24 indexed citations
13.
Abbas, Syed Qamar, et al.. (2021). A Systematic Literature Review on the Cyber Security. International Journal of Scientific Research and Management (IJSRM). 9(12). 669–710. 65 indexed citations
14.
Akhtar, Nikhat, et al.. (2020). Data analytics and visualization using Tableau utilitarian for COVID-19 (Coronavirus). Global Journal of Engineering and Technology Advances. 3(2). 28–50. 31 indexed citations
15.
Akhtar, Nikhat, et al.. (2020). Data analytics and visualization using Tableau utilitarian for COVID-19 (Coronavirus). Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
Perwej, Yusuf, et al.. (2018). An Intelligent Cardiac Ailment Prediction Using Efficient ROCK Algorithm and K- Means & C4.5 Algorithm. European Journal of Engineering and Technology Research. 3(12). 126–134. 18 indexed citations
17.
Akhtar, Nikhat. (2017). A Model- Based Research Material Recommendation System For Individual Users. Transactions on Machine Learning and Artificial Intelligence. 5(2). 1. 2 indexed citations
18.
Akhtar, Nikhat, et al.. (2015). A Literature Review of Empirical Studies of Recommendation Systems. International Journal of Applied Information Systems. 10(2). 6–14. 3 indexed citations
19.
Perwej, Yusuf, et al.. (2014). The Kingdom of Saudi Arabia Vehicle License Plate Recognition using Learning Vector Quantization Artificial Neural Network. International Journal of Computer Applications. 98(11). 32–38. 14 indexed citations
20.
Akhtar, Nikhat, et al.. (2014). A Perceptual Evaluation of Optimization Algorithms and Iterative Method for E-Commerce. 1 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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2026