Apeksha Aggarwal

618 total citations
19 papers, 431 citations indexed

About

Apeksha Aggarwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Apeksha Aggarwal has authored 19 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Apeksha Aggarwal's work include Air Quality and Health Impacts (3 papers), Data Mining Algorithms and Applications (3 papers) and Data Management and Algorithms (3 papers). Apeksha Aggarwal is often cited by papers focused on Air Quality and Health Impacts (3 papers), Data Mining Algorithms and Applications (3 papers) and Data Management and Algorithms (3 papers). Apeksha Aggarwal collaborates with scholars based in India, Saudi Arabia and South Korea. Apeksha Aggarwal's co-authors include Kirk R. Smith, Rutu Dave, Durga Toshniwal, Dilbag Singh, Soumya Chatterjee, Prassan Shah, Heung-No Lee, Aseel Alhadlaq, Abeer Ali Alnuaim and Sandeep Kumar Palaniswamy and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and IEEE Access.

In The Last Decade

Apeksha Aggarwal

18 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Apeksha Aggarwal India 10 133 100 58 54 53 19 431
Trung Le United States 11 46 0.3× 64 0.6× 58 1.0× 3 0.1× 48 0.9× 38 537
Jiannan Cai China 16 101 0.8× 15 0.1× 46 0.8× 8 0.1× 93 1.8× 37 584
Ruilin Zhang China 9 142 1.1× 29 0.3× 37 0.6× 4 0.1× 13 0.2× 45 427
Miguel A. Becerra Colombia 9 12 0.1× 17 0.2× 38 0.7× 32 0.6× 12 0.2× 33 271
Ling Lei China 9 15 0.1× 37 0.4× 45 0.8× 7 0.1× 15 0.3× 42 324
Juan Yang China 14 17 0.1× 41 0.4× 20 0.3× 20 0.4× 4 0.1× 48 471
Konstantinos Avgerinakis Greece 9 23 0.2× 170 1.7× 68 1.2× 16 0.3× 10 0.2× 27 408
Mohammad Sharif Iran 11 69 0.5× 15 0.1× 39 0.7× 9 0.2× 48 0.9× 35 445
John Kemp United Kingdom 10 199 1.5× 48 0.5× 14 0.2× 12 0.2× 9 0.2× 49 424
Yukinobu Hoshino Japan 12 38 0.3× 6 0.1× 115 2.0× 7 0.1× 13 0.2× 89 498

Countries citing papers authored by Apeksha Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Apeksha Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apeksha Aggarwal

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

All Works

19 of 19 papers shown
1.
Sharma, Lakhan Dev, Jagdeep Rahul, Apeksha Aggarwal, & Vijay Kumar Bohat. (2023). An improved cardiac arrhythmia classification using stationary wavelet transform decomposed short duration QRS segment and Bi-LSTM network. Multidimensional Systems and Signal Processing. 34(2). 503–520. 8 indexed citations
2.
Aggarwal, Apeksha, et al.. (2023). Real-time hand gesture recognition using multiple deep learning architectures. Signal Image and Video Processing. 17(8). 3963–3971. 11 indexed citations
3.
Palaniswamy, Sandeep Kumar, Malathi Kanagasabai, M. Gulam Nabi Alsath, et al.. (2022). 3-D twelve-port multi-service diversity antenna for automotive communications. Scientific Reports. 12(1). 403–403. 26 indexed citations
4.
Aggarwal, Apeksha, et al.. (2022). ThoraciNet: thoracic abnormality detection and disease classification using fusion DCNNs. Physical and Engineering Sciences in Medicine. 45(3). 961–970. 5 indexed citations
5.
Aggarwal, Apeksha, et al.. (2022). Two-Way Feature Extraction for Speech Emotion Recognition Using Deep Learning. Sensors. 22(6). 2378–2378. 65 indexed citations
6.
Aggarwal, Apeksha, et al.. (2022). Detecting Drivers' Drowsiness using Haar Cascade Classifier. 318–322. 3 indexed citations
7.
Aggarwal, Apeksha, et al.. (2022). Hand-Written Characters Recognition using Siamese Network Design. 1371. 66–70. 3 indexed citations
8.
Aggarwal, Apeksha, et al.. (2021). Two‐Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification. Complexity. 2021(1). 24 indexed citations
9.
Jain, Pulkit, et al.. (2021). FitMe: A Fitness Application for Accurate Pose Estimation Using Deep Learning. 232–237. 6 indexed citations
10.
11.
Palaniswamy, Sandeep Kumar, Malathi Kanagasabai, T. Rama Rao, et al.. (2021). On the design and performance analysis of wristband MIMO/diversity antenna for smart wearable communication applications. Scientific Reports. 11(1). 21917–21917. 27 indexed citations
12.
Aggarwal, Apeksha & Durga Toshniwal. (2021). A hybrid deep learning framework for urban air quality forecasting. Journal of Cleaner Production. 329. 129660–129660. 35 indexed citations
13.
Singh, Dilbag, Vipul Kumar Mishra, Apeksha Aggarwal, et al.. (2021). Safest Route Detection via Danger Index Calculation and K-Means Clustering. Computers, materials & continua/Computers, materials & continua (Print). 69(2). 2761–2777. 3 indexed citations
14.
Aggarwal, Apeksha & Durga Toshniwal. (2019). Frequent Pattern Mining on Time and Location Aware Air Quality Data. IEEE Access. 7. 98921–98933. 17 indexed citations
15.
Aggarwal, Apeksha & Durga Toshniwal. (2019). Detection of anomalous nitrogen dioxide (NO2) concentration in urban air of India using proximity and clustering methods. Journal of the Air & Waste Management Association. 69(7). 805–822. 16 indexed citations
16.
Aggarwal, Apeksha & Durga Toshniwal. (2018). Spatio-Temporal Frequent Itemset Mining on Web Data. 1160–1165. 5 indexed citations
17.
Agarwal, Ajay, Apeksha Aggarwal, & Apoorv Agarwal. (2017). An Approach for Augmenting Selection Operators of SQL Queries using Skyline and Fuzzy-Logic Operators. Procedia Computer Science. 115. 14–21. 2 indexed citations
18.
Smith, Kirk R., Apeksha Aggarwal, & Rutu Dave. (1983). Air pollution and rural biomass fuels in developing countries: A pilot village study in India and implications for research and policy. Atmospheric Environment (1967). 17(11). 2343–2362. 135 indexed citations
19.
Aggarwal, Apeksha, et al.. (1982). Assessment of exposure to benzo(a)pyrene in air for various population groups in ahmedabad. Atmospheric Environment (1967). 16(4). 867–870. 40 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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