Puneet Agarwal

3.0k total citations · 1 hit paper
85 papers, 1.5k citations indexed

About

Puneet Agarwal is a scholar working on Artificial Intelligence, Ocean Engineering and Environmental Engineering. According to data from OpenAlex, Puneet Agarwal has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Ocean Engineering and 15 papers in Environmental Engineering. Recurrent topics in Puneet Agarwal's work include Wind and Air Flow Studies (14 papers), Wind Energy Research and Development (12 papers) and Topic Modeling (11 papers). Puneet Agarwal is often cited by papers focused on Wind and Air Flow Studies (14 papers), Wind Energy Research and Development (12 papers) and Topic Modeling (11 papers). Puneet Agarwal collaborates with scholars based in United States, India and Japan. Puneet Agarwal's co-authors include Gautam Shroff, Lovekesh Vig, Pankaj Malhotra, Lance Manuel, Pankaj Malhotra, Vishnu Tv, Scot McNeill, Ramesh B. Malla, Rais Ahmad and Rajesh M. Hegde and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Engineering Structures.

In The Last Decade

Puneet Agarwal

80 papers receiving 1.4k citations

Hit Papers

Long Short Term Memory Networks for Anomaly Detection in ... 2015 2026 2018 2022 2015 200 400 600
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. Long Short Term Memory Networks for Anomaly Detection in Time Series.
    2015 748 citations Pankaj Malhotra, Lovekesh Vig et al. The European Symposium on Artificial Neural Networks profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Puneet Agarwal United States 14 644 326 322 201 195 85 1.5k
Yuxun Zhou United States 27 402 0.6× 424 1.3× 452 1.4× 359 1.8× 302 1.5× 74 2.6k
Ke-Lin Du Canada 18 557 0.9× 186 0.6× 238 0.7× 227 1.1× 70 0.4× 53 1.9k
Feng Yin China 25 703 1.1× 167 0.5× 432 1.3× 226 1.1× 71 0.4× 173 2.0k
Bahador Khaleghi Canada 8 597 0.9× 116 0.4× 299 0.9× 300 1.5× 80 0.4× 17 1.5k
Manuel Roveri Italy 25 1.4k 2.1× 279 0.9× 897 2.8× 321 1.6× 110 0.6× 119 2.8k
Hai Wang China 31 431 0.7× 113 0.3× 219 0.7× 370 1.8× 167 0.9× 217 3.4k
Wancai Zhang China 5 1.0k 1.6× 857 2.6× 252 0.8× 358 1.8× 314 1.6× 12 3.2k
Nikunj C. Oza United States 21 1.4k 2.2× 347 1.1× 296 0.9× 189 0.9× 96 0.5× 70 2.2k
Yibing Li China 21 341 0.5× 201 0.6× 269 0.8× 145 0.7× 56 0.3× 187 1.6k
Abdollah Homaifar United States 22 1.2k 1.9× 94 0.3× 240 0.7× 702 3.5× 91 0.5× 199 2.8k

Countries citing papers authored by Puneet Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Puneet Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puneet Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Puneet Agarwal. A scholar is included among the top collaborators of Puneet 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 Puneet Agarwal. Puneet 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, Puneet, et al.. (2025). Recommending the right academic programs: an interest mining approach using BERTopic. Data Mining and Knowledge Discovery. 39(3).
2.
Joshi, Shashank, et al.. (2021). Recursive dynamic functional connectivity reveals a characteristic correlation structure in human scalp EEG. Scientific Reports. 11(1). 2822–2822. 3 indexed citations
3.
Srivastava, Saurabh, et al.. (2021). Complex Question Answering on knowledge graphs using machine translation and multi-task learning. 3428–3439. 9 indexed citations
4.
Srivastava, Saurabh, et al.. (2020). Improved Question Answering using Domain Prediction.. Knowledge Discovery and Data Mining. 2 indexed citations
5.
Khadilkar, Harshad, et al.. (2019). A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. 2250–2252. 6 indexed citations
6.
Joshi, Shashank, et al.. (2019). Automated Epilepsy Diagnosis Using EEG With Test Set Evaluation. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(6). 1106–1116. 22 indexed citations
7.
Malhotra, Pankaj, Vishnu Tv, Lovekesh Vig, Puneet Agarwal, & Gautam Shroff. (2017). TimeNet: Pre-trained deep recurrent neural network for time series classification.. The European Symposium on Artificial Neural Networks. 6 indexed citations
8.
Pandey, Aditeya, et al.. (2016). Visual Bayesian fusion to navigate a data lake. International Conference on Information Fusion. 987–994. 3 indexed citations
9.
Agarwal, Puneet & George Z. Forristall. (2016). Improved Binning Criterion for Developing Scatter Diagram of Loop Current and Eddies. Offshore Technology Conference. 1 indexed citations
10.
Malhotra, Pankaj, Lovekesh Vig, Gautam Shroff, & Puneet Agarwal. (2015). Long Short Term Memory Networks for Anomaly Detection in Time Series.. The European Symposium on Artificial Neural Networks. 748 indexed citations breakdown →
11.
Shroff, Gautam, et al.. (2015). Business data fusion. International Conference on Information Fusion. 1876–1885. 6 indexed citations
12.
Agarwal, Puneet, et al.. (2015). Efficiently discovering frequent motifs in large-scale sensor data. 98–103. 6 indexed citations
13.
Shroff, Gautam, et al.. (2014). Prescriptive information fusion. International Conference on Information Fusion. 1–8. 7 indexed citations
14.
Malhotra, Pankaj, Puneet Agarwal, & Gautam Shroff. (2014). Graph-Parallel Entity Resolution using LSH & IMM. EDBT/ICDT Workshops. 41–49. 6 indexed citations
15.
Malhotra, Pankaj, Puneet Agarwal, & Gautam Shroff. (2014). Incremental entity fusion from linked documents. International Conference on Information Fusion. 1–8. 1 indexed citations
16.
Agarwal, Puneet, Gautam Shroff, & Pankaj Malhotra. (2013). Approximate Incremental Big-Data Harmonization. 118–125. 19 indexed citations
17.
Shroff, Gautam, et al.. (2011). A blackboard architecture for data-intensive information fusion using locality-sensitive hashing. International Conference on Information Fusion. 1–8.
18.
Shroff, Gautam, Puneet Agarwal, & Lipika Dey. (2011). Enterprise information fusion for real-time business intelligence. International Conference on Information Fusion. 1–8. 10 indexed citations
19.
Dewan, Prasun, Puneet Agarwal, Gautam Shroff, & Rajesh M. Hegde. (2010). Mixed-focus collaboration without compromising individual or group work. 225–234. 5 indexed citations
20.
Sanghi, Dheeraj, Pankaj Jalote, & Puneet Agarwal. (2002). A Testbed for Performance Evaluation of Load Balancing Schemes for Web Server Systems.. 118(5). 239–246. 1 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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