Amit Agarwal

4.2k total citations · 2 hit papers
69 papers, 2.4k citations indexed

About

Amit Agarwal is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Agarwal has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 37 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Agarwal's work include Cloud Computing and Resource Management (31 papers), IoT and Edge/Fog Computing (18 papers) and Distributed and Parallel Computing Systems (13 papers). Amit Agarwal is often cited by papers focused on Cloud Computing and Resource Management (31 papers), IoT and Edge/Fog Computing (18 papers) and Distributed and Parallel Computing Systems (13 papers). Amit Agarwal collaborates with scholars based in India, United States and United Arab Emirates. Amit Agarwal's co-authors include Bernard Chazelle, Elena Nabieva, Mona Singh, Kam Jim, Saloni Jain, Piyush Maheshwari, Sapna Tyagi, Joon Ong, Urs Hölzle and Glen Anderson and has published in prestigious journals such as Communications of the ACM, ACM SIGCOMM Computer Communication Review and Future Generation Computer Systems.

In The Last Decade

Amit Agarwal

66 papers receiving 2.3k citations

Hit Papers

Jupiter Rising 2015 2026 2018 2022 2015 2015 100 200 300 400
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. Jupiter Rising
    2015 420 citations Arjun Singh, Joon Ong et al. profile →
  2. Jupiter Rising
    2015 240 citations Arjun Singh, Joon Ong et al. ACM SIGCOMM Computer Communication Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Agarwal India 19 1.3k 906 525 300 272 69 2.4k
Susanne E. Hambrusch United States 23 825 0.6× 272 0.3× 158 0.3× 181 0.6× 312 1.1× 90 2.5k
Douglas E. Comer United States 22 2.4k 1.9× 776 0.9× 596 1.1× 47 0.2× 850 3.1× 145 3.9k
Sang‐Wook Kim South Korea 29 465 0.4× 1.3k 1.4× 184 0.4× 153 0.5× 1.3k 4.8× 328 3.0k
Jeff Offutt United States 38 1.3k 1.0× 3.4k 3.7× 209 0.4× 112 0.4× 712 2.6× 168 5.8k
Stefano Leonardi Italy 26 875 0.7× 720 0.8× 113 0.2× 90 0.3× 759 2.8× 116 2.5k
Milan Vojnović United Kingdom 28 2.1k 1.7× 402 0.4× 512 1.0× 33 0.1× 439 1.6× 96 3.0k
David B. Skillicorn Canada 25 805 0.6× 509 0.6× 84 0.2× 79 0.3× 882 3.2× 166 2.2k
Sean W. Smith United States 27 817 0.6× 1.1k 1.2× 150 0.3× 33 0.1× 1.5k 5.5× 155 2.5k
Steve Vinoski United States 20 1.2k 1.0× 970 1.1× 133 0.3× 28 0.1× 600 2.2× 67 2.2k
Evaggelia Pitoura Greece 28 1.7k 1.3× 874 1.0× 110 0.2× 35 0.1× 671 2.5× 149 2.8k

Countries citing papers authored by Amit Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Amit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Agarwal. A scholar is included among the top collaborators of Amit 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 Amit Agarwal. Amit 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, Amit, et al.. (2024). Communication-Efficient Secure Logistic Regression. 440–467. 2 indexed citations
2.
Murallidharan, Janani Srree, et al.. (2022). Microfluidics geometries involved in effective blood plasma separation. Microfluidics and Nanofluidics. 26(10). 73–73. 15 indexed citations
3.
Agarwal, Amit, et al.. (2020). A survey on Augmented Virtual Reality: Applications and Future Directions. 99–106. 12 indexed citations
4.
Dewangan, Bhupesh Kumar, et al.. (2020). Cloud Resource Optimization System Based on Time and Cost. International Journal of Mathematical Engineering and Management Sciences. 5(4). 758–768. 8 indexed citations
5.
Agarwal, Amit & Ta Nguyen Binh Duong. (2018). Co- Location Resistant Virtual Machine Placement in Cloud Data Centers. 61–68. 4 indexed citations
6.
Trujillo, Mario F., et al.. (2018). GLOBAL CHARACTERIZATION OF THE SPRAY FORMATION PROCESS. Atomization and Sprays. 28(9). 811–835. 4 indexed citations
7.
Jain, Sarika, et al.. (2017). Segmentation based non local means filter for denoising MRI. 640–644. 3 indexed citations
8.
Tyagi, Sapna, et al.. (2017). Exploring 3D Network-on-Chip Architectures and Challenges. 97–101. 7 indexed citations
9.
Agarwal, Amit, et al.. (2016). A comprehensive study on security attacks on SSL/TLS protocol. 893–898. 19 indexed citations
10.
11.
Gupta, Neha & Amit Agarwal. (2015). Context aware Mobile Cloud Computing: Review. International Conference on Computing for Sustainable Global Development. 1061–1065. 6 indexed citations
12.
Singh, Arjun, Joon Ong, Amit Agarwal, et al.. (2015). Jupiter Rising. ACM SIGCOMM Computer Communication Review. 45(4). 183–197. 240 indexed citations breakdown →
13.
Singh, Arjun, Joon Ong, Amit Agarwal, et al.. (2015). Jupiter Rising. 183–197. 420 indexed citations breakdown →
14.
Agarwal, Amit. (2013). Fundamentals of Human Resource Management. 236 indexed citations
15.
Dukkipati, Nandita, et al.. (2010). An argument for increasing TCP's initial congestion window. ACM SIGCOMM Computer Communication Review. 40(3). 26–33. 172 indexed citations
16.
Agarwal, Amit, et al.. (2010). Economical Task Scheduling Algorithm for Grid Computing Systems. 6 indexed citations
17.
Agarwal, Amit, et al.. (2009). Heterogeneity-Aware Task Scheduling Using Critical Path in Grid Environments. 59. 479–483. 2 indexed citations
18.
Agarwal, Amit, et al.. (2006). QoS-constrained Fault-tolerant Routing in MANETs based on Segment-Backup Paths. 1. 1–9. 1 indexed citations
19.
Nabieva, Elena, Kam Jim, Amit Agarwal, Bernard Chazelle, & Mona Singh. (2005). Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps. Computer applications in the biosciences. 21(Suppl 1). i302–i310. 313 indexed citations
20.
Blythe, Jim, Ewa Deelman, Yolanda Gil, et al.. (2003). The role of planning in Grid computing. International Conference on Automated Planning and Scheduling. 154–163. 58 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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