Monika Agarwal

1.0k total citations · 1 hit paper
34 papers, 721 citations indexed

About

Monika Agarwal is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Monika Agarwal has authored 34 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 12 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Monika Agarwal's work include Fault Detection and Control Systems (16 papers), Advanced Control Systems Optimization (11 papers) and Neural Networks and Applications (9 papers). Monika Agarwal is often cited by papers focused on Fault Detection and Control Systems (16 papers), Advanced Control Systems Optimization (11 papers) and Neural Networks and Applications (9 papers). Monika Agarwal collaborates with scholars based in Switzerland, India and United States. Monika Agarwal's co-authors include Rashima Mahajan, Marcio de Queiroz, D.M. Dawson, D.W.T. Rippin, David I. Wilson, F. Zhang, Jonas Sjöberg, Geeta Rani, Peter Terwiesch and Dominique Bonvin and has published in prestigious journals such as Automatica, IEEE Transactions on Control Systems Technology and IEEE Transactions on Robotics and Automation.

In The Last Decade

Monika Agarwal

33 papers receiving 678 citations

Hit Papers

Deep learning for enhanced brain Tumor Detection and clas... 2024 2026 2025 2024 10 20 30 40 50
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 for enhanced brain Tumor Detection and classification
    2024 54 citations Monika Agarwal, Geeta Rani et al. Results in Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika Agarwal Switzerland 15 444 180 126 55 49 34 721
Mukul Agarwal Switzerland 13 352 0.8× 147 0.8× 82 0.7× 15 0.3× 24 0.5× 27 717
Moussa Diaf Algeria 9 155 0.3× 178 1.0× 365 2.9× 17 0.3× 63 1.3× 18 673
Hamouche Oulhadj France 14 89 0.2× 202 1.1× 278 2.2× 75 1.4× 76 1.6× 27 585
M. Arafa Egypt 10 162 0.4× 120 0.7× 65 0.5× 14 0.3× 21 0.4× 16 543
Abdelkrim Boukabou Algeria 18 212 0.5× 179 1.0× 249 2.0× 9 0.2× 54 1.1× 68 899
Chen Yang China 17 86 0.2× 255 1.4× 241 1.9× 25 0.5× 48 1.0× 78 820
K. Benmahammed Algeria 13 467 1.1× 315 1.8× 220 1.7× 5 0.1× 42 0.9× 67 768
Pengfei Guo China 14 75 0.2× 167 0.9× 105 0.8× 36 0.7× 37 0.8× 39 707
Omar Ávalos Mexico 12 109 0.2× 250 1.4× 123 1.0× 11 0.2× 112 2.3× 33 560

Countries citing papers authored by Monika Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Monika Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Monika Agarwal. A scholar is included among the top collaborators of Monika Agarwal 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 Monika Agarwal. Monika Agarwal 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.
Agarwal, Monika, et al.. (2024). Aerial Image Segmentation Using YOLO v8 and SAM Pipeline. 1–6.
2.
Agarwal, Monika, et al.. (2024). Deep learning for enhanced brain Tumor Detection and classification. Results in Engineering. 22. 102117–102117. 54 indexed citations breakdown →
3.
4.
Agarwal, Monika, et al.. (2020). Sequential Model for Digital Image Contrast Enhancement. Recent Advances in Computer Science and Communications. 14(9). 2772–2784. 4 indexed citations
5.
Agarwal, Monika, Geeta Rani, & Vijaypal Singh Dhaka. (2020). Optimized contrast enhancement for tumor detection. International Journal of Imaging Systems and Technology. 30(3). 687–703. 19 indexed citations
6.
Agarwal, Monika & Rashima Mahajan. (2017). Medical Images Contrast Enhancement using Quad Weighted Histogram Equalization with Adaptive Gama Correction and Homomorphic Filtering. Procedia Computer Science. 115. 509–517. 24 indexed citations
7.
Agarwal, Monika & Rajesh Mehra. (2014). Review of Matrix Decomposition Techniques for Signal Processing Applications. International Journal of Engineering Research and Applications. 4(1). 90–93. 10 indexed citations
8.
Agarwal, Monika. (2013). TEXT STEGANOGRAPHIC APPROACHES: A COMPARISON. Zenodo (CERN European Organization for Nuclear Research). 9 indexed citations
9.
Queiroz, Marcio de, D.M. Dawson, Monika Agarwal, & F. Zhang. (2002). Adaptive nonlinear boundary control of a flexible link robot arm. 2. 1327–1332. 4 indexed citations
10.
Sjöberg, Jonas, F. De Bruyne, Monika Agarwal, et al.. (2002). Iterative controller optimization for nonlinear systems. Control Engineering Practice. 11(9). 1079–1086. 39 indexed citations
11.
Queiroz, Marcio de, D.M. Dawson, & Monika Agarwal. (1999). Adaptive control of robot manipulators with controller/update law modularity. Automatica. 35(8). 1379–1390. 20 indexed citations
12.
Wilson, David I., Monika Agarwal, & D.W.T. Rippin. (1998). Experiences implementing the extended Kalman filter on an industrial batch reactor. Computers & Chemical Engineering. 22(11). 1653–1672. 85 indexed citations
13.
Ngoi, B. K. A., Monika Agarwal, & Chin-Seng Chua. (1998). Nonlinear optimisation in tolerance charts ? A study of objective functions. The International Journal of Advanced Manufacturing Technology. 14(6). 423–427. 3 indexed citations
14.
Agarwal, Monika. (1997). A systematic classification of neural-network-based control. IEEE Control Systems. 17(2). 75–93. 94 indexed citations
15.
Sjöberg, Jonas & Monika Agarwal. (1997). Nonlinear controller tuning based on linearized time-variant model. 3336–3340 vol.5. 19 indexed citations
16.
Agarwal, Monika, et al.. (1991). Using a-priori information in networks. 242–246. 7 indexed citations
17.
Agarwal, Monika & Dominique Bonvin. (1989). Limitations of the Extended Kalman Filter for Batch Reactors. IFAC Proceedings Volumes. 22(8). 299–306. 17 indexed citations
18.
Agarwal, Monika, et al.. (1988). Experimental Estimation of Concentrations From Reactor Temperature Measurement. IFAC Proceedings Volumes. 21(7). 183–188. 6 indexed citations
19.
Wit, Carlos Canudas de & Monika Agarwal. (1985). On-Line Estimation of Time Delay and Continuous-Time Process Parameters. 1 indexed citations
20.
Agarwal, Monika & Dale E. Seborg. (1985). Self-Tuning Controllers for Nonlinear Systems. IFAC Proceedings Volumes. 18(15). 151–157. 8 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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