Payal Mittal

604 total citations · 1 hit paper
23 papers, 369 citations indexed

About

Payal Mittal is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Networks and Communications. According to data from OpenAlex, Payal Mittal has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Biophysics and 3 papers in Computer Networks and Communications. Recurrent topics in Payal Mittal's work include Advanced Neural Network Applications (6 papers), Electromagnetic Fields and Biological Effects (4 papers) and Video Surveillance and Tracking Methods (4 papers). Payal Mittal is often cited by papers focused on Advanced Neural Network Applications (6 papers), Electromagnetic Fields and Biological Effects (4 papers) and Video Surveillance and Tracking Methods (4 papers). Payal Mittal collaborates with scholars based in India, United Kingdom and United Arab Emirates. Payal Mittal's co-authors include Akashdeep Sharma, Raman Singh, K.L. Khanduja, Satnam Singh, Mukesh Dalal, Arun Kumar Sangaiah, Mohammad S. Obaidat, Bhisham Sharma, Abhishek Singhal and Nitish Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Image and Vision Computing.

In The Last Decade

Payal Mittal

22 papers receiving 355 citations

Hit Papers

Deep learning-based object detection in low-altitude UAV ... 2020 2026 2022 2024 2020 50 100 150 200
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. Deep learning-based object detection in low-altitude UAV datasets: A survey
    2020 225 citations Payal Mittal, Raman Singh et al. Image and Vision Computing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Payal Mittal India 7 216 129 41 31 29 23 369
Zhucun Xue China 4 335 1.6× 245 1.9× 37 0.9× 30 1.0× 44 1.5× 8 482
Jongmin Jeong South Korea 8 142 0.7× 91 0.7× 19 0.5× 29 0.9× 18 0.6× 23 274
Dmytro Mishkin Czechia 6 277 1.3× 159 1.2× 77 1.9× 14 0.5× 27 0.9× 9 421
Xiaoxue Feng China 9 67 0.3× 76 0.6× 68 1.7× 33 1.1× 32 1.1× 48 250
Guangyi Tang China 9 139 0.6× 102 0.8× 69 1.7× 21 0.7× 13 0.4× 27 307
Zhaozhuo Xu United States 11 264 1.2× 125 1.0× 61 1.5× 37 1.2× 147 5.1× 27 448
Valérie Gouet-Brunet France 10 303 1.4× 175 1.4× 37 0.9× 58 1.9× 49 1.7× 33 426
Rajeshreddy Datla India 8 164 0.8× 50 0.4× 73 1.8× 23 0.7× 69 2.4× 19 327

Countries citing papers authored by Payal Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Payal Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Mittal. A scholar is included among the top collaborators of Payal Mittal 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 Payal Mittal. Payal Mittal 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.
Dalal, Mukesh & Payal Mittal. (2025). A Systematic Review of Deep Learning-Based Object Detection in Agriculture: Methods, Challenges, and Future Directions. Computers, materials & continua/Computers, materials & continua (Print). 84(1). 57–91. 5 indexed citations
2.
Pant, Janmejay, Lovedeep Singh, Payal Mittal, & Nitish Kumar. (2024). Valencene as a novel potential downregulator of THRB in NSCLC: network pharmacology, molecular docking, molecular dynamics simulation, ADMET analysis, and in vitro analysis. Molecular Diversity. 29(3). 2543–2563. 4 indexed citations
3.
Mittal, Payal, et al.. (2024). Thiazolidine-4-one Analogues: Synthesis, In-Silico Molecular Modeling, and In-vivo Estimation for Anticonvulsant Potential. Central Nervous System Agents in Medicinal Chemistry. 25(4). 557–567. 2 indexed citations
4.
Mittal, Payal. (2024). A comprehensive survey of deep learning-based lightweight object detection models for edge devices. Artificial Intelligence Review. 57(9). 42 indexed citations
5.
Mittal, Payal, et al.. (2024). An Insight into Absorption, Distribution, Metabolism, Excretion, and Toxicity Screening, Molecular Dynamic Simulation, and Molecular Docking of Glycitein as Hepatoprotective Isoflavone. Asian Journal of Pharmaceutical Research and Health Care. 16(2). 124–137. 3 indexed citations
6.
Sharma, Akashdeep, et al.. (2023). A modified U-net-based architecture for segmentation of satellite images on a novel dataset. Ecological Informatics. 75. 102078–102078. 13 indexed citations
7.
Mittal, Payal, et al.. (2023). Computational Insights Into the Epilepsy-related Phytoconstituents of Acacia farnesiana: In silico Analysis, Molecular Modeling, and ADMET Profiling. Asian Journal of Pharmaceutical Research and Health Care. 15(3). 213–222. 2 indexed citations
8.
Mittal, Payal, Akashdeep Sharma, Raman Singh, & Arun Kumar Sangaiah. (2022). On the performance evaluation of object classification models in low altitude aerial data. The Journal of Supercomputing. 78(12). 14548–14570. 8 indexed citations
9.
Mittal, Payal, Akashdeep Sharma, & Raman Singh. (2022). A Simulated Dataset in Aerial Images using Simulink for Object Detection and Recognition. SHILAP Revista de lepidopterología. 3. 144–151. 6 indexed citations
10.
Mittal, Payal, Akashdeep Sharma, & Raman Singh. (2022). Deformable patch-based-multi-layer perceptron Mixer model for forest fire aerial image classification. Journal of Applied Remote Sensing. 17(2). 1 indexed citations
11.
Mittal, Payal, Akashdeep Sharma, & Raman Singh. (2022). A Feature Pyramid Based Multi-stage Framework for Object Detection in Low-altitude UAV Images. International Journal of Artificial Intelligence Tools. 31(2). 2 indexed citations
12.
Mittal, Payal, Raman Singh, & Akashdeep Sharma. (2020). Deep learning-based object detection in low-altitude UAV datasets: A survey. Image and Vision Computing. 104. 104046–104046. 225 indexed citations breakdown →
13.
Sharma, Bhisham, Payal Mittal, & Mohammad S. Obaidat. (2019). Power‐saving policies for annual energy cost savings in green computing. International Journal of Communication Systems. 33(4). 6 indexed citations
14.
15.
Mittal, Payal, Abhishek Singhal, & Abhay Bansal. (2014). A Study on Architecture of Autonomic Computing-Self Managed Systems. International Journal of Computer Applications. 92(6). 6–9. 2 indexed citations
16.
Mittal, Payal, et al.. (2014). Analysis of security trends and control methods in Android platform. 75–79. 4 indexed citations
17.
Mittal, Payal, et al.. (2013). A Survey on OFDM and IEEE WLAN Standard. 66(22). 33–39. 1 indexed citations
18.
Singh, Satnam, K.L. Khanduja, & Payal Mittal. (1999). Effect of 50 Hz sinusoidal electromagnetic field on the kinetics of14CO2 exhalation after [14C]-N-Nitrosodiethylamine administration in mice. Bioelectromagnetics. 20(1). 1–4. 2 indexed citations
19.
Singh, Satnam, K.L. Khanduja, & Payal Mittal. (1998). Influence of 50-Hz Sinusoidal Electromagnetic Field on Hepatic and Pulmonary Phase I and II Drug-Metabolizing Enzymes in Mice. Electro- and Magnetobiology. 17(3). 343–350. 1 indexed citations
20.
Nath, Vishwa, et al.. (1976). Effects of hempa on the gonads of Locusta Migratoria (L.) (Orthoptera, Acrididae). Bulletin of Entomological Research. 66(2). 313–315. 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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