Prateesh Goyal

619 total citations
16 papers, 425 citations indexed

About

Prateesh Goyal is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Prateesh Goyal has authored 16 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 6 papers in Electrical and Electronic Engineering and 3 papers in Information Systems. Recurrent topics in Prateesh Goyal's work include Network Traffic and Congestion Control (10 papers), Software-Defined Networks and 5G (8 papers) and Cloud Computing and Resource Management (3 papers). Prateesh Goyal is often cited by papers focused on Network Traffic and Congestion Control (10 papers), Software-Defined Networks and 5G (8 papers) and Cloud Computing and Resource Management (3 papers). Prateesh Goyal collaborates with scholars based in United States, India and United Kingdom. Prateesh Goyal's co-authors include Mohammad Alizadeh, Srinivas Narayana, Vimalkumar Jeyakumar, Anirudh Sivaraman, Venkat Arun, Changhoon Kim, Hari Balakrishnan, Frank Cangialosi, Vibhaalakshmi Sivaraman and Radhika Mittal and has published in prestigious journals such as arXiv (Cornell University) and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Prateesh Goyal

15 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prateesh Goyal United States	8	391	106	87	66	44	16	425
Vibhaalakshmi Sivaraman United States	5	393 1.0×	93 0.9×	50 0.6×	128 1.9×	73 1.7×	8	457
Oliver Michel United States	8	359 0.9×	131 1.2×	71 0.8×	63 1.0×	19 0.4×	18	391
Venkat Arun India	5	449 1.1×	79 0.7×	121 1.4×	85 1.3×	35 0.8×	8	476
Hongbo Yu China	5	165 0.4×	217 2.0×	44 0.5×	121 1.8×	45 1.0×	12	312
Andrew D. Ferguson United States	7	586 1.5×	294 2.8×	82 0.9×	99 1.5×	33 0.8×	8	608
Samuel Jero United States	10	285 0.7×	58 0.5×	70 0.8×	146 2.2×	39 0.9×	23	349
Petr Lapukhov Israel	8	258 0.7×	52 0.5×	84 1.0×	48 0.7×	21 0.5×	20	302
Giuseppe Siracusano Italy	11	407 1.0×	85 0.8×	139 1.6×	61 0.9×	20 0.5×	35	459
Patrick Verkaik United States	10	407 1.0×	92 0.9×	98 1.1×	101 1.5×	12 0.3×	16	426

Countries citing papers authored by Prateesh Goyal

Since Specialization

Citations

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

Fields of papers citing papers by Prateesh Goyal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateesh Goyal

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

All Works

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16 of 16 papers shown

1.

Goyal, Prateesh, et al.. (2024). Efficient Policy-Rich Rate Enforcement with Phantom Queues. 1000–1013.

2.

Li, Chenning, et al.. (2024). m3: Accurate Flow-Level Performance Estimation using Machine Learning. 813–827. 2 indexed citations

3.

Goyal, Prateesh, et al.. (2023). DBO: Fairness for Cloud-Hosted Financial Exchanges. 550–563. 7 indexed citations

4.

Goyal, Prateesh, et al.. (2022). Rethinking cloud-hosted financial exchanges for response time fairness. 108–114. 2 indexed citations

5.

Goyal, Prateesh, et al.. (2022). Elasticity detection. 158–176. 14 indexed citations

6.

Saeed, Ahmed, Prateesh Goyal, Milad Sharif, et al.. (2020). Annulus. DSpace@MIT (Massachusetts Institute of Technology). 735–749. 41 indexed citations

7.

Goyal, Prateesh, Anup Agarwal, Ravi Netravali, Mohammad Alizadeh, & Hari Balakrishnan. (2019). ABC: A Simple Explicit Congestion Control Protocol for Wireless Networks.. arXiv (Cornell University). 4 indexed citations

8.

Sivaraman, Vibhaalakshmi, et al.. (2019). End-to-end transport for video QoE fairness. 408–423. 51 indexed citations

9.

Goyal, Prateesh, et al.. (2018). Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

10.

Cangialosi, Frank, Prateesh Goyal, Srinivas Narayana, et al.. (2018). Restructuring Endpoint Congestion Control. 25–25. 7 indexed citations

11.

Cangialosi, Frank, Prateesh Goyal, Srinivas Narayana, et al.. (2018). Restructuring endpoint congestion control. 30–43. 52 indexed citations

12.

Goyal, Prateesh, et al.. (2018). Elasticity Detection. 75–75. 9 indexed citations

13.

Goyal, Prateesh, Mohammad Alizadeh, & Hari Balakrishnan. (2017). Rethinking Congestion Control for Cellular Networks. 29–35. 21 indexed citations

14.

Narayana, Srinivas, Anirudh Sivaraman, Prateesh Goyal, et al.. (2017). Demonstration of the Marple System for Network Performance Monitoring. 57–59. 4 indexed citations

15.

Cangialosi, Frank, et al.. (2017). The Case for Moving Congestion Control Out of the Datapath. 101–107. 17 indexed citations

16.

Narayana, Srinivas, Anirudh Sivaraman, Prateesh Goyal, et al.. (2017). Language-Directed Hardware Design for Network Performance Monitoring. 85–98. 193 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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