Harsh Agarwal

478 total citations
21 papers, 243 citations indexed

About

Harsh Agarwal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Harsh Agarwal has authored 21 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Harsh Agarwal's work include Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (3 papers) and Stock Market Forecasting Methods (2 papers). Harsh Agarwal is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Neural Network Applications (3 papers) and Stock Market Forecasting Methods (2 papers). Harsh Agarwal collaborates with scholars based in India, United States and Finland. Harsh Agarwal's co-authors include Kartik Thakral, Richa Singh, Mayank Vatsa, Yash Jain, Ankur Singh, D Rajeswari, Marcelino Bernardo, Peter L. Choyke, Bradford J. Wood and Reza Seifabadi and has published in prestigious journals such as IEEE Access, Journal of Magnetic Resonance Imaging and Optics Communications.

In The Last Decade

Harsh Agarwal

19 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Harsh Agarwal India	9	97	60	44	34	27	21	243
Zhiliang Wang China	8	79 0.8×	27 0.5×	19 0.4×	44 1.3×	36 1.3×	30	199
Marina Kolesnik Germany	10	68 0.7×	84 1.4×	11 0.3×	24 0.7×	31 1.1×	22	273
Ljiljana Platiša Belgium	9	174 1.8×	54 0.9×	37 0.8×	103 3.0×	8 0.3×	48	367
Manfred Georg United States	6	94 1.0×	33 0.6×	41 0.9×	37 1.1×	43 1.6×	13	212
Sasan Mahmoodi United Kingdom	12	212 2.2×	127 2.1×	50 1.1×	24 0.7×	30 1.1×	39	309
Shuchang Xu China	7	94 1.0×	68 1.1×	17 0.4×	20 0.6×	73 2.7×	43	256
Jia‐Hong Lee Taiwan	11	200 2.1×	117 1.9×	98 2.2×	55 1.6×	6 0.2×	28	483
Jinzhuo Wang China	11	174 1.8×	51 0.8×	85 1.9×	27 0.8×	7 0.3×	34	299
Kazuhiro Kozuka Japan	8	164 1.7×	16 0.3×	40 0.9×	5 0.1×	38 1.4×	38	369
Kanata Suzuki Japan	8	105 1.1×	75 1.3×	113 2.6×	32 0.9×	12 0.4×	26	343

Countries citing papers authored by Harsh Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Harsh Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harsh Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Harsh Agarwal. A scholar is included among the top collaborators of Harsh 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 Harsh Agarwal. Harsh Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Agarwal, Harsh, et al.. (2025). An Explainable Deep Learning Framework for Sorghum Weed Classification Using Multi-Scale Feature Enhanced DenseNet. IEEE Access. 13. 26973–26990.

Thakral, Kartik, et al.. (2024). DeePhyNet: Toward Detecting Phylogeny in Deepfakes. IEEE Transactions on Biometrics Behavior and Identity Science. 7(1). 132–145.

Agarwal, Harsh, Deepak Mishra, & Ashok Kumar. (2024). A deep-learning approach for turbulence correction in free space optical communication with Laguerre–Gaussian modes. Optics Communications. 556. 130249–130249. 5 indexed citations

Agarwal, Harsh, et al.. (2024). Predictive Data Analysis: Leveraging RNN and LSTM Techniques for Time Series Dataset. Procedia Computer Science. 235. 979–989. 11 indexed citations

Agarwal, Harsh, et al.. (2024). SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. 5983–5992. 3 indexed citations

Agarwal, Harsh, et al.. (2023). DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. 9739–9748. 37 indexed citations

Agarwal, Harsh, et al.. (2023). Web Based Book Recommendation System Using Collaborative Filtering. 1–6. 6 indexed citations

Agarwal, Harsh, Ankur Singh, & D Rajeswari. (2021). Deepfake Detection Using SVM. 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). 1245–1249. 20 indexed citations

Agarwal, Harsh, et al.. (2021). Pothole Detection using Accelerometer and Computer Vision with Automated Complaint Redressal. 5 indexed citations

10.

Agarwal, Harsh, et al.. (2021). Customer Adaptive Automated Trading System with Capital Risk Analysis using Machine Learning. 265–271. 1 indexed citations

11.

Agarwal, Harsh, et al.. (2020). Weather prediction using Machine Learning. International journal of advance research, ideas and innovations in technology. 6(2). 762–764. 5 indexed citations

12.

Agarwal, Harsh, et al.. (2020). Alert System for Drivers based on Traffic Signs, Lights and Pedestrian Detection. 1–5. 6 indexed citations

13.

Agarwal, Harsh, et al.. (2020). Minimization of Food Waste in Retail Sector using Time-Series Analysis and Object Detection Algorithm. 1–7. 5 indexed citations

14.

Chen, Yue, Allison Squires, Reza Seifabadi, et al.. (2016). Robotic System for MRI-Guided Focal Laser Ablation in the Prostate. IEEE/ASME Transactions on Mechatronics. 22(1). 107–114. 47 indexed citations

15.

Jain, Yash, et al.. (2016). Study of implementation of Voice Controlled Wheelchair. 1–4. 26 indexed citations

16.

Verma, Gaurav, et al.. (2016). Design and Implementation of Router for NOC on FPGA. International Journal of Future Generation Communication and Networking. 9(12). 263–272. 2 indexed citations

17.

Gai, Neville, Ashkan A. Malayeri, Harsh Agarwal, Robert Evers, & David A. Bluemke. (2015). Evaluation of optimized breath‐hold and free‐breathing 3D ultrashort echo time contrast agent‐free MRI of the human lung. Journal of Magnetic Resonance Imaging. 43(5). 1230–1238. 19 indexed citations

18.

Cheng, Ruida, Barış Türkbey, William Gandler, et al.. (2014). Atlas based AAM and SVM model for fully automatic MRI prostate segmentation. PubMed. 6367. 2881–2585. 15 indexed citations

19.

Abd‐Elmoniem, Khaled Z., Harsh Agarwal, Tetsuo Sasano, et al.. (2010). Identification of myocardial infarction using three-dimensional strain tensor fractional anisotropy. PubMed. 2010. 468–471. 2 indexed citations

20.

Roy, Snehashis, Harsh Agarwal, Aaron Carass, et al.. (2008). Fuzzy c-means with variable compactness. PubMed. 4541030. 452–455. 14 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.

Explore authors with similar magnitude of impact