A. B. Pawar

867 total citations
35 papers, 458 citations indexed

About

A. B. Pawar is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, A. B. Pawar has authored 35 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 7 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in A. B. Pawar's work include Artificial Intelligence and Decision Support Systems (6 papers), Spam and Phishing Detection (6 papers) and Advanced Malware Detection Techniques (3 papers). A. B. Pawar is often cited by papers focused on Artificial Intelligence and Decision Support Systems (6 papers), Spam and Phishing Detection (6 papers) and Advanced Malware Detection Techniques (3 papers). A. B. Pawar collaborates with scholars based in India, Saudi Arabia and Malaysia. A. B. Pawar's co-authors include P. William, M. A. Jawale, Sachin K. Korde, Neeta Deshpande, Nikhil Marriwala, Gurpreet Singh Chhabra, Santosh Kumar Sharma, Siddhartha Choubey, Khushi Gupta and Vijay R. Chidrawar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

A. B. Pawar

31 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. B. Pawar India 16 250 70 48 36 22 35 458
K. Vengatesan India 15 145 0.6× 105 1.5× 96 2.0× 95 2.6× 78 3.5× 50 486
R. Kanniga Devi India 12 100 0.4× 27 0.4× 102 2.1× 13 0.4× 54 2.5× 47 448
Anik Nur Handayani Indonesia 11 122 0.5× 63 0.9× 107 2.2× 47 1.3× 11 0.5× 127 415
J. Albert Mayan India 10 98 0.4× 62 0.9× 51 1.1× 33 0.9× 39 1.8× 64 312
Hanif Fakhrurroja Indonesia 10 75 0.3× 43 0.6× 60 1.3× 56 1.6× 44 2.0× 87 349
Saydul Akbar Murad Malaysia 10 123 0.5× 30 0.4× 151 3.1× 26 0.7× 79 3.6× 31 397
Iping Supriana Indonesia 10 127 0.5× 81 1.2× 122 2.5× 17 0.5× 19 0.9× 98 371
Kamal Upreti India 10 93 0.4× 50 0.7× 73 1.5× 33 0.9× 42 1.9× 98 484
Ved Prakash Mishra United Arab Emirates 10 105 0.4× 28 0.4× 85 1.8× 33 0.9× 71 3.2× 61 317
Maytham N. Meqdad Iran 13 60 0.2× 35 0.5× 86 1.8× 40 1.1× 55 2.5× 29 328

Countries citing papers authored by A. B. Pawar

Since Specialization
Citations

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

Fields of papers citing papers by A. B. Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. B. Pawar. 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 A. B. Pawar. The network helps show where A. B. Pawar may publish in the future.

Co-authorship network of co-authors of A. B. Pawar

This figure shows the co-authorship network connecting the top 25 collaborators of A. B. Pawar. A scholar is included among the top collaborators of A. B. Pawar 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 A. B. Pawar. A. B. Pawar 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.
Pawar, A. B., Ramdas Pandhare, Popat Mohite, et al.. (2025). Enhancing solubility and dissolution of felodipine using self-nanoemulsifying drug systems through in vitro evaluation. Scientific Reports. 15(1). 8900–8900.
2.
Pawar, A. B., et al.. (2025). Temperature controllable synthesis of NiO microflower-like architecture for selective detection of NO2. Ceramics International. 51(20). 31407–31416. 2 indexed citations
3.
Pawar, A. B., et al.. (2025). NiO nanosheet-assembled chemiresistive sensor for NO2 detection. Applied Physics A. 131(4). 1 indexed citations
4.
Khalaf, Osamah Ibrahim, A. B. Pawar, P. William, & Kingsley A. Ogudo. (2024). Framework for artificial intelligence based monitoring of energy and waste management using machine learning approach. IET conference proceedings.. 2023(39). 286–296. 5 indexed citations
5.
Kaur, Gaganpreet, Meena Malik, A. B. Pawar, et al.. (2024). FFDL: Feature Fusion-Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection. IEEE Access. 13. 5366–5379. 1 indexed citations
6.
Pawar, A. B., et al.. (2024). Exploration of Composition-Microstructure Relations in Polymer Nanocomposites: Intelligent Honey. Journal of Nano- and Electronic Physics. 16(4). 4004–1. 2 indexed citations
7.
Korde, Sachin K., et al.. (2023). Experimental Investigations on Copper-Based Nanoparticles for Energy Storage Applications. Journal of Nano- and Electronic Physics. 15(3). 3002–1. 15 indexed citations
8.
Pawar, A. B., et al.. (2023). File Tracking System Using SAP Technology with Cloud Web Services. 13. 980–984. 1 indexed citations
9.
Jeribi, Fathe, Chamandeep Kaur, & A. B. Pawar. (2023). An Approach with Machine Learning for Heart Disease Risk Prediction. 1474–1479. 1 indexed citations
10.
Pawar, A. B., et al.. (2023). Multi-Scale Deep Learning-based Recurrent Neural Network for Improved Medical Image Restoration and Enhancement. International Journal of Advanced Computer Science and Applications. 14(10). 1 indexed citations
11.
Pawar, A. B., et al.. (2023). Analysis of Silver Nanoparticles as Carriers of Drug Delivery System. Journal of Nano- and Electronic Physics. 15(4). 4015–1. 22 indexed citations
12.
Pawar, A. B., et al.. (2023). Energy Management in Electric Vehicles Using Improved Swarm Optimized Deep Reinforcement Learning Algorithm. Journal of Nano- and Electronic Physics. 15(3). 3004–1. 14 indexed citations
13.
William, P., et al.. (2023). Investigation of the Electronic and Optical Properties of Nanostructured Glasses and Composites. Journal of Nano- and Electronic Physics. 15(4). 4005–1. 16 indexed citations
14.
Deshpande, Neeta, Santosh Kumar Sharma, P. William, & A. B. Pawar. (2023). Empirical Analysis of the Emerging Trends in the Photovoltaic Technologies of Condensed Matter Physics. Journal of Nano- and Electronic Physics. 15(4). 4009–1. 18 indexed citations
15.
Kaur, Chamandeep, et al.. (2023). Cyber Extortion Unveiled: The Evolution, Tactics, Challenges, and Future of Ransomware. 861–867. 1 indexed citations
16.
William, P., et al.. (2023). Synthesis and Characterization of Graphene Based Nanomaterials for Energy Applications. Journal of Nano- and Electronic Physics. 15(3). 3020–1. 17 indexed citations
17.
Jawale, M. A., et al.. (2022). Face Mask Detection in Realtime Environment using Machine Learning based Google Cloud. 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC). 557–561. 28 indexed citations
18.
Pawar, A. B., et al.. (2022). Discriminant Analysis of Student's Online Learning Satisfaction during COVID'19. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). 4 8. 260–263. 25 indexed citations
19.
Pawar, A. B., et al.. (2019). Smart Python Coding through Voice Recognition. International Journal of Innovative Technology and Exploring Engineering. 8(10). 3283–3285. 2 indexed citations
20.
Jawale, M. A., et al.. (2014). Implementation of automated sentiment discovery system. 1–6. 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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