Mosharaf Chowdhury

14.8k total citations · 8 hit papers
73 papers, 9.8k citations indexed

About

Mosharaf Chowdhury is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Mosharaf Chowdhury has authored 73 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 41 papers in Information Systems and 13 papers in Artificial Intelligence. Recurrent topics in Mosharaf Chowdhury's work include Cloud Computing and Resource Management (38 papers), Caching and Content Delivery (20 papers) and Advanced Data Storage Technologies (11 papers). Mosharaf Chowdhury is often cited by papers focused on Cloud Computing and Resource Management (38 papers), Caching and Content Delivery (20 papers) and Advanced Data Storage Technologies (11 papers). Mosharaf Chowdhury collaborates with scholars based in United States, Canada and Hong Kong. Mosharaf Chowdhury's co-authors include Ion Stoica, Matei Zaharia, Scott Shenker, Michael J. Franklin, Justin Ma, Ankur Dave, Tathagata Das, Raouf Boutaba, Muntasir Raihan Rahman and Yuan Zhong and has published in prestigious journals such as Chemical Communications, Communications of the ACM and IEEE Access.

In The Last Decade

Mosharaf Chowdhury

70 papers receiving 9.3k citations

Hit Papers

Spark: cluster computing ... 2010 2026 2015 2020 2010 2012 2011 2011 2014 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mosharaf Chowdhury United States 32 7.1k 5.7k 2.2k 1.4k 1.2k 73 9.8k
Roy H. Campbell United States 46 5.3k 0.7× 3.3k 0.6× 2.6k 1.2× 2.6k 1.8× 1.3k 1.1× 339 8.8k
Gustavo Alonso Switzerland 47 6.3k 0.9× 4.6k 0.8× 2.9k 1.3× 819 0.6× 1.6k 1.4× 274 9.3k
Tathagata Das United States 17 3.8k 0.5× 3.2k 0.6× 1.8k 0.8× 993 0.7× 570 0.5× 25 5.9k
Andy Konwinski United States 11 6.6k 0.9× 7.2k 1.3× 1.6k 0.7× 773 0.5× 701 0.6× 12 9.4k
Minyi Guo China 43 4.1k 0.6× 3.4k 0.6× 2.8k 1.3× 1.8k 1.3× 1.2k 1.0× 505 8.8k
Joseph E. Gonzalez United States 39 2.7k 0.4× 2.5k 0.4× 3.7k 1.7× 3.6k 2.5× 816 0.7× 122 8.1k
Calton Pu United States 44 5.9k 0.8× 4.3k 0.8× 3.4k 1.5× 505 0.4× 1.2k 1.0× 391 8.7k
Jignesh M. Patel United States 45 5.1k 0.7× 2.9k 0.5× 2.6k 1.2× 1.3k 0.9× 837 0.7× 179 8.2k
Garth A. Gibson United States 54 11.8k 1.7× 3.8k 0.7× 1.8k 0.8× 617 0.4× 4.2k 3.5× 201 13.1k
Divyakant Agrawal United States 52 6.1k 0.9× 3.2k 0.6× 2.1k 1.0× 1.0k 0.7× 543 0.5× 333 9.1k

Countries citing papers authored by Mosharaf Chowdhury

Since Specialization
Citations

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

Fields of papers citing papers by Mosharaf Chowdhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mosharaf Chowdhury

This figure shows the co-authorship network connecting the top 25 collaborators of Mosharaf Chowdhury. A scholar is included among the top collaborators of Mosharaf Chowdhury 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 Mosharaf Chowdhury. Mosharaf Chowdhury 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.
Chowdhury, Mosharaf, et al.. (2025). CO2 Storage and Evaluation of Important Parameters Affecting the CO2 Plume Distribution: Simulation and Sensitivity Analysis. Linköping electronic conference proceedings. 211. 2 indexed citations
2.
Bansal, Nikhil, et al.. (2024). Reducing Energy Bloat in Large Model Training. 144–159. 3 indexed citations
3.
Chen, Kai, et al.. (2023). Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 851–866. 23 indexed citations
4.
Maruf, Hasan Al, et al.. (2023). Memtrade: Marketplace for Disaggregated Memory Clouds. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 7(2). 1–27. 1 indexed citations
5.
Kontar, Raed Al, et al.. (2023). Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification. IEEE Transactions on Automation Science and Engineering. 21(3). 2792–2803. 5 indexed citations
6.
Kontar, Raed Al, Eunshin Byon, Mosharaf Chowdhury, et al.. (2021). The Internet of Federated Things (IoFT). IEEE Access. 9. 156071–156113. 37 indexed citations
7.
Chowdhury, Mosharaf, et al.. (2020). Near-Optimal Latency Versus Cost Tradeoffs in Geo-Distributed Storage. Networked Systems Design and Implementation. 157–180. 11 indexed citations
8.
Mahajan, Kshiteej, Mosharaf Chowdhury, Aditya Akella, & Shuchi Chawla. (2018). Dynamic query re-planning using QOOP. Operating Systems Design and Implementation. 253–267. 9 indexed citations
9.
Chowdhury, Mosharaf, et al.. (2018). To Relay or Not to Relay for Inter-Cloud Transfers?. 7 indexed citations
10.
Gu, Juncheng, et al.. (2017). Efficient memory disaggregation with INFINISWAP. Networked Systems Design and Implementation. 649–667. 91 indexed citations
11.
Grandl, Robert, Mosharaf Chowdhury, Aditya Akella, & Ganesh Ananthanarayanan. (2016). Altruistic scheduling in multi-resource clusters. Operating Systems Design and Implementation. 65–80. 94 indexed citations
12.
Rashmi, K. V., et al.. (2016). EC-cache: load-balanced, low-latency cluster caching with online erasure coding. Operating Systems Design and Implementation. 401–417. 71 indexed citations
13.
Chowdhury, Mosharaf, Zhenhua Liu, Ali Ghodsi, & Ion Stoica. (2016). HUG: multi-resource fairness for correlated and elastic demands. Networked Systems Design and Implementation. 407–424. 81 indexed citations
14.
Chowdhury, Mosharaf, et al.. (2013). PolyViNE: policy-based virtual network embedding across multiple domains. Journal of Internet Services and Applications. 4(1). 73 indexed citations
15.
Zaharia, Matei, Mosharaf Chowdhury, Tathagata Das, et al.. (2012). Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing. UC Berkeley. 2–2. 2411 indexed citations breakdown →
16.
Kumar, Gautam, Mosharaf Chowdhury, Sylvia Ratnasamy, & Ion Stoica. (2012). A case for performance-centric network allocation. 9–9. 8 indexed citations
17.
Franklin, Michael J., et al.. (2012). Fast and Interactive Analytics over Hadoop Data with Spark. 37. 111 indexed citations
18.
Zaharia, Matei, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, & Ion Stoica. (2010). Spark: cluster computing with working sets. UC Berkeley. 10–10. 2745 indexed citations breakdown →
19.
Chowdhury, Mosharaf, et al.. (2003). MPEG Traffic Performance via TCP over ATM. Deakin Research Online (Deakin University). 128–132. 2 indexed citations
20.
Feng, Wenying, et al.. (1998). Benchmarks for testing evolutionary algorithms. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 12 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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