A.S. Pandya

803 total citations · 1 hit paper
42 papers, 481 citations indexed

About

A.S. Pandya is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, A.S. Pandya has authored 42 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in A.S. Pandya's work include Neural Networks and Applications (10 papers), Adaptive Control of Nonlinear Systems (5 papers) and Embedded Systems Design Techniques (5 papers). A.S. Pandya is often cited by papers focused on Neural Networks and Applications (10 papers), Adaptive Control of Nonlinear Systems (5 papers) and Embedded Systems Design Techniques (5 papers). A.S. Pandya collaborates with scholars based in United States, India and Japan. A.S. Pandya's co-authors include K. Venugopal, Taghi M. Khoshgoftaar, R. Sudhakar, D.L. Lanning, Manan Shah, J. A. Scott Kelso, Paul Galland, Tadashi Kondo, Edward D. Lipson and A. Fuchs and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Journal on Selected Areas in Communications.

In The Last Decade

A.S. Pandya

37 papers receiving 437 citations

Hit Papers

A comprehensive study on skin cancer detection using arti... 2023 2026 2024 2025 2023 25 50 75
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. A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)
    2023 79 citations Manan Shah, A.S. Pandya et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A.S. Pandya United States 12 136 117 107 93 61 42 481
Arjun Chandra United Kingdom 9 259 1.9× 72 0.6× 35 0.3× 19 0.2× 11 0.2× 16 449
Mohammad Shoyaib Bangladesh 14 177 1.3× 62 0.5× 16 0.1× 35 0.4× 14 0.2× 48 814
Shariq Hussain Pakistan 13 139 1.0× 89 0.8× 35 0.3× 41 0.4× 6 0.1× 48 513
Vibhav Prakash Singh India 14 198 1.5× 44 0.4× 11 0.1× 17 0.2× 14 0.2× 56 511
Yin-Wen Chang United States 6 253 1.9× 81 0.7× 33 0.3× 6 0.1× 17 0.3× 8 581
Miao Chen China 8 232 1.7× 33 0.3× 69 0.6× 10 0.1× 7 0.1× 33 484
Alexandre Muzy France 11 57 0.4× 24 0.2× 56 0.5× 41 0.4× 25 0.4× 39 378
Hyun Kwon South Korea 16 455 3.3× 94 0.8× 34 0.3× 17 0.2× 12 0.2× 73 714
Muhammad Iqbal New Zealand 16 506 3.7× 68 0.6× 26 0.2× 7 0.1× 99 1.6× 52 955
Luis Valencia–Cabrera Spain 20 167 1.2× 45 0.4× 63 0.6× 24 0.3× 13 0.2× 92 1.2k

Countries citing papers authored by A.S. Pandya

Since Specialization
Citations

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

Fields of papers citing papers by A.S. Pandya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.S. Pandya

This figure shows the co-authorship network connecting the top 25 collaborators of A.S. Pandya. A scholar is included among the top collaborators of A.S. Pandya 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.S. Pandya. A.S. Pandya 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.
Liu, Xiangyu, et al.. (2024). A systematic study on integrating blockchain in healthcare for electronic health record management and tracking medical supplies. Journal of Cleaner Production. 447. 141371–141371. 16 indexed citations
2.
Joshi, Abhishek, et al.. (2024). Design, Development and Evaluation of a Polyherbal Floating Tablet for Gastric Ulcer. International Journal of Pharmaceutical Sciences Review and Research. 84(9).
3.
Pandya, A.S., et al.. (2022). Neural Networks for Face Recognition. CRC Press, Inc. eBooks. 285–314.
4.
5.
Pandya, A.S., et al.. (2008). Evaluating mobile phone handoff behavior using chi-square statistical test. 372–377. 2 indexed citations
6.
Agarwal, Ankur, et al.. (2007). A Deadlock Free Router Design for Network-on-Chip Architecture. The Journal of the Korean Institute of Information and Communication Engineering. 11(4). 696–706. 1 indexed citations
7.
Agarwal, Ankur, et al.. (2006). NOC Architecture Design Methodology. The Journal of the Korean Institute of Information and Communication Engineering. 10(1). 57–64. 2 indexed citations
8.
Agarwal, Ankur, et al.. (2006). Power Management System for Embedded RTOS: An Object Oriented Approach. 2305–2309. 5 indexed citations
9.
Pandya, A.S., et al.. (2003). A hybrid approach to recognize handwritten alphanumeric characters. 1661. 723–726. 2 indexed citations
10.
Venugopal, K., A.S. Pandya, & R. Sudhakar. (2003). Alopex algorithm for adaptive control of dynamical systems. 2. 875–880. 1 indexed citations
11.
Pandya, A.S., et al.. (2003). Neural networks for process control. 1. 393–398. 2 indexed citations
12.
Kondo, Tadashi & A.S. Pandya. (2002). Revised GMDH-type neural networks with a feedback loop and their application to the medical image recognition. 9. 2274–2278 vol.5. 1 indexed citations
13.
Khoshgoftaar, Taghi M., D.L. Lanning, & A.S. Pandya. (2002). A neural network modeling methodology for the detection of high-risk programs. 302–309. 6 indexed citations
14.
Venugopal, K., R. Sudhakar, & A.S. Pandya. (1995). An improved scheme for direct adaptive control of dynamical systems using backpropagation neural networks. Circuits Systems and Signal Processing. 14(2). 213–236. 17 indexed citations
15.
Venugopal, K., et al.. (1994). A recurrent neural network controller and learning algorithm for the on-line learning control of autonomous underwater vehicles. Neural Networks. 7(5). 833–846. 23 indexed citations
16.
Khoshgoftaar, Taghi M., D.L. Lanning, & A.S. Pandya. (1994). A comparative study of pattern recognition techniques for quality evaluation of telecommunications software. IEEE Journal on Selected Areas in Communications. 12(2). 279–291. 55 indexed citations
17.
Pandya, A.S., et al.. (1994). Vision‐based path following by using a neural network Guidance System. Journal of Robotic Systems. 11(1). 57–66. 3 indexed citations
18.
Kelso, J. A. Scott & A.S. Pandya. (1991). Dynamic pattern generation and recognition. Morgan Kaufmann Publishers Inc. eBooks. 171–190. 9 indexed citations
19.
Haken, Hermann, J. A. Scott Kelso, A. Fuchs, & A.S. Pandya. (1990). Dynamic pattern recognition of coordinated biological motion. Neural Networks. 3(4). 395–401. 32 indexed citations
20.
Galland, Paul, A.S. Pandya, & Edward D. Lipson. (1984). Wavelength dependence of dark adaptation in Phycomyces phototropism.. The Journal of General Physiology. 84(5). 739–751. 27 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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