Neha Agarwal

1.0k total citations
31 papers, 663 citations indexed

About

Neha Agarwal is a scholar working on Information Systems, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Neha Agarwal has authored 31 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Computer Networks and Communications and 11 papers in Hardware and Architecture. Recurrent topics in Neha Agarwal's work include Advanced Data Storage Technologies (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Cloud Computing and Resource Management (9 papers). Neha Agarwal is often cited by papers focused on Advanced Data Storage Technologies (10 papers), Parallel Computing and Optimization Techniques (10 papers) and Cloud Computing and Resource Management (9 papers). Neha Agarwal collaborates with scholars based in United States, India and United Arab Emirates. Neha Agarwal's co-authors include Thomas F. Wenisch, David Nellans, Mike O’Connor, Stephen W. Keckler, Mark W. Stephenson, Andreas Hansson, Aasheesh Kolli, Aniruddha N. Udipi, Stephen W. Keckler and Ajay Rana and has published in prestigious journals such as ACM SIGPLAN Notices, Electronics and ACM SIGOPS Operating Systems Review.

In The Last Decade

Neha Agarwal

29 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neha Agarwal United States 10 472 466 252 131 72 31 663
Heiner Litz United States 18 569 1.2× 439 0.9× 278 1.1× 60 0.5× 126 1.8× 58 711
Misbah Mubarak United States 13 399 0.8× 234 0.5× 158 0.6× 65 0.5× 20 0.3× 38 488
Richard Wheeler United States 8 539 1.1× 216 0.5× 251 1.0× 30 0.2× 51 0.7× 13 643
Yuan-Chieh Chow United States 9 724 1.5× 438 0.9× 187 0.7× 45 0.3× 70 1.0× 21 802
Riky Subrata Australia 12 471 1.0× 151 0.3× 252 1.0× 133 1.0× 40 0.6× 19 512
Muhammad Shahbaz United States 13 820 1.7× 157 0.3× 165 0.7× 225 1.7× 139 1.9× 40 885
Bryan C. Ward United States 14 443 0.9× 530 1.1× 56 0.2× 67 0.5× 53 0.7× 36 690
Songnian Zhou Canada 12 719 1.5× 346 0.7× 324 1.3× 38 0.3× 42 0.6× 20 765
Myeongjae Jeon United States 11 464 1.0× 141 0.3× 317 1.3× 58 0.4× 135 1.9× 28 579

Countries citing papers authored by Neha Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Neha Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Agarwal. A scholar is included among the top collaborators of Neha 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 Neha Agarwal. Neha 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.
Jena, Diptismita, Sathvik Belagodu Sridhar, Javedh Shareef, et al.. (2024). Time series modelling and forecasting of Monkeypox outbreak trends Africa's in most affected countries. New Microbes and New Infections. 62. 101526–101526. 5 indexed citations
2.
3.
Agarwal, Neha, et al.. (2024). An Analysis of Machine Learning Algorithms for Chronic Kidney Disease Prediction. 581–586. 2 indexed citations
4.
Bhushan, Shashi, et al.. (2022). A Novel Approach to Face Pattern Analysis. Electronics. 11(3). 444–444. 7 indexed citations
5.
Agarwal, Neha, et al.. (2022). IOT Assisted Smart Farming using Data Science Techniques. 503–507. 2 indexed citations
6.
Agarwal, Neha, et al.. (2019). Stock Market Analysis using Supervised Machine Learning. 197–200. 59 indexed citations
7.
Agarwal, Neha, Ajay Rana, J. P. Pandey, & Amit Agarwal. (2019). Secured Sharing of Data in Cloud via Dual Authentication, Dynamic Unidirectional PRE, and CPABE. International Journal of Information Security and Privacy. 14(1). 44–66. 26 indexed citations
8.
Ahn, Junwhan, et al.. (2019). Software-Defined Far Memory in Warehouse-Scale Computers. 317–330. 70 indexed citations
9.
Agarwal, Neha, Ajay Rana, & J. P. Pandey. (2018). Guarded dual authentication based DRM with resurgence dynamic encryption techniques. Enterprise Information Systems. 13(3). 257–280. 7 indexed citations
10.
Agarwal, Neha & Thomas F. Wenisch. (2017). Thermostat. ACM SIGARCH Computer Architecture News. 45(1). 631–644. 9 indexed citations
11.
Agarwal, Neha & Thomas F. Wenisch. (2017). Thermostat. ACM SIGOPS Operating Systems Review. 51(2). 631–644. 6 indexed citations
12.
Agarwal, Neha, Ajay Rana, & J. P. Pandey. (2016). Proxy signatures for secured data sharing. 255–258. 6 indexed citations
13.
Agarwal, Neha, David Nellans, Eiman Ebrahimi, et al.. (2016). Selective GPU caches to eliminate CPU-GPU HW cache coherence. 494–506. 40 indexed citations
14.
Prema, K. V., et al.. (2016). Stock Market Prediction using Neuro-Genetic Model. Indian Journal of Science and Technology. 8(35). 4 indexed citations
15.
Agarwal, Neha, David Nellans, Mark W. Stephenson, Mike O’Connor, & Stephen W. Keckler. (2015). Page Placement Strategies for GPUs within Heterogeneous Memory Systems. 607–618. 99 indexed citations
16.
Agarwal, Neha, et al.. (2015). A review paper on Fault Tolerance in Cloud Computing. 31–34. 4 indexed citations
17.
Agarwal, Neha, David Nellans, Mark W. Stephenson, Mike O’Connor, & Stephen W. Keckler. (2015). Page Placement Strategies for GPUs within Heterogeneous Memory Systems. ACM SIGARCH Computer Architecture News. 43(1). 607–618. 10 indexed citations
18.
Agarwal, Neha, David Nellans, Mike O’Connor, Stephen W. Keckler, & Thomas F. Wenisch. (2015). Unlocking bandwidth for GPUs in CC-NUMA systems. 65 indexed citations
19.
Agarwal, Neha, et al.. (2014). Cloud Computing A review paper on security issues in SAAS. 3(5). 1 indexed citations
20.
Agarwal, Neha, et al.. (2013). Logical Effort to Study the Performance of 32-bit Heterogeneous Adder. 65(16). 36–38. 2 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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