Subarna Chatterjee

409 total citations
10 papers, 288 citations indexed

About

Subarna Chatterjee is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Subarna Chatterjee has authored 10 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Artificial Intelligence. Recurrent topics in Subarna Chatterjee's work include Advanced Data Storage Technologies (5 papers), Energy Efficient Wireless Sensor Networks (4 papers) and IoT and Edge/Fog Computing (3 papers). Subarna Chatterjee is often cited by papers focused on Advanced Data Storage Technologies (5 papers), Energy Efficient Wireless Sensor Networks (4 papers) and IoT and Edge/Fog Computing (3 papers). Subarna Chatterjee collaborates with scholars based in United States, India and France. Subarna Chatterjee's co-authors include Sudip Misra, Mohammad S. Obaidat, Stratos Idreos, Niv Dayan, Siqiang Luo, Michael Mitzenmacher, Tim Kraska, Demi Guo, Sanku Kumar Roy and Arijit Roy and has published in prestigious journals such as Proceedings of the VLDB Endowment, IEEE Systems Journal and IEEE Transactions on Cloud Computing.

In The Last Decade

Subarna Chatterjee

10 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subarna Chatterjee United States	7	249	92	48	41	35	10	288
Jan S. Rellermeyer Netherlands	9	165 0.7×	121 1.3×	87 1.8×	38 0.9×	33 0.9×	26	278
Kaspar Schleiser Germany	4	192 0.8×	58 0.6×	46 1.0×	92 2.2×	29 0.8×	8	259
N. Kumar India	6	125 0.5×	47 0.5×	47 1.0×	68 1.7×	20 0.6×	13	236
Sabuzima Nayak India	10	158 0.6×	51 0.6×	80 1.7×	72 1.8×	30 0.9×	22	262
Jozef Papán Slovakia	11	197 0.8×	72 0.8×	33 0.7×	101 2.5×	18 0.5×	47	286
Elena Meshkova Germany	8	279 1.1×	72 0.8×	40 0.8×	105 2.6×	40 1.1×	24	343
Zhen Yao China	6	245 1.0×	44 0.5×	99 2.1×	88 2.1×	30 0.9×	7	315
Jarmo Harju Finland	10	248 1.0×	40 0.4×	24 0.5×	137 3.3×	31 0.9×	55	303
Utsav Drolia United States	7	226 0.9×	87 0.9×	57 1.2×	68 1.7×	92 2.6×	18	298
N. Manikandan India	11	268 1.1×	248 2.7×	96 2.0×	21 0.5×	24 0.7×	23	348

Countries citing papers authored by Subarna Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Subarna Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subarna Chatterjee

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

All Works

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10 of 10 papers shown

1.

Chatterjee, Subarna, et al.. (2024). Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines. Proceedings of the ACM on Management of Data. 2(1). 1–28. 2 indexed citations

2.

Chatterjee, Subarna, et al.. (2022). SNARF. Proceedings of the VLDB Endowment. 15(8). 1632–1644. 16 indexed citations

3.

Chatterjee, Subarna, et al.. (2021). Cosine. Proceedings of the VLDB Endowment. 15(1). 112–126. 15 indexed citations

4.

Chatterjee, Subarna, et al.. (2021). Deep Learning: Systems and Responsibility. 2867–2875. 5 indexed citations

5.

Luo, Siqiang, et al.. (2020). Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores. 2071–2086. 51 indexed citations

6.

Idreos, Stratos, et al.. (2019). Learning Data Structure Alchemy. IEEE Data(base) Engineering Bulletin. 42(2). 47–58. 11 indexed citations

7.

Chatterjee, Subarna, et al.. (2019). Big-Sensor-Cloud Infrastructure: A Holistic Prototype for Provisioning Sensors-as-a-Service. IEEE Transactions on Cloud Computing. 9(4). 1323–1334. 5 indexed citations

8.

Chatterjee, Subarna & Sudip Misra. (2015). Optimal composition of a virtual sensor for efficient virtualization within sensor-cloud. 448–453. 29 indexed citations

9.

Misra, Sudip, Subarna Chatterjee, & Mohammad S. Obaidat. (2015). On Theoretical Modeling of Sensor Cloud: A Paradigm Shift From Wireless Sensor Network. IEEE Systems Journal. 11(2). 1084–1093. 115 indexed citations

10.

Misra, Sudip, et al.. (2014). Mils-Cloud: A Sensor-Cloud-Based Architecture for the Integration of Military Tri-Services Operations and Decision Making. IEEE Systems Journal. 10(2). 628–636. 39 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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