Subarno Banerjee

912 total citations · 1 hit paper
10 papers, 523 citations indexed

About

Subarno Banerjee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Subarno Banerjee has authored 10 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Electrical and Electronic Engineering and 3 papers in Signal Processing. Recurrent topics in Subarno Banerjee's work include Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers) and Software Engineering Research (2 papers). Subarno Banerjee is often cited by papers focused on Security and Verification in Computing (3 papers), Advanced Malware Detection Techniques (3 papers) and Software Engineering Research (2 papers). Subarno Banerjee collaborates with scholars based in United States, India and Germany. Subarno Banerjee's co-authors include Mark W. Krentel, Nathan R. Tallent, Mike Fagan, Gabriel Marin, John Mellor‐Crummey, Laksono Adhianto, Swagath Venkataramani, Anand Raghunathan, Ashish Ranjan and Sasikanth Avancha and has published in prestigious journals such as Concurrency and Computation Practice and Experience, Proceedings of the ACM on Programming Languages and Spiral (Imperial College London).

In The Last Decade

Subarno Banerjee

7 papers receiving 500 citations

Hit Papers

HPCTOOLKIT: tools for performance analysis of optimized p... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subarno Banerjee United States 4 313 306 148 119 115 10 523
Edson Borin Brazil 13 332 1.1× 330 1.1× 130 0.9× 91 0.8× 123 1.1× 101 603
Manuel F. Dolz Spain 12 274 0.9× 328 1.1× 164 1.1× 92 0.8× 99 0.9× 72 484
Lifan Xu United States 8 463 1.5× 500 1.6× 141 1.0× 65 0.5× 177 1.5× 8 652
Khaled Hamidouche United States 14 434 1.4× 383 1.3× 134 0.9× 145 1.2× 98 0.9× 53 648
Jacques A. Pienaar United States 8 145 0.5× 243 0.8× 58 0.4× 58 0.5× 61 0.5× 8 369
Guoyang Chen United States 10 279 0.9× 324 1.1× 107 0.7× 85 0.7× 64 0.6× 22 432
David Sidler Switzerland 10 385 1.2× 270 0.9× 149 1.0× 50 0.4× 81 0.7× 18 485
Ammar Ahmad Awan United States 14 224 0.7× 176 0.6× 85 0.6× 250 2.1× 138 1.2× 31 624
Leonardo Bautista-Gomez Spain 14 413 1.3× 243 0.8× 116 0.8× 26 0.2× 222 1.9× 44 536
Laksono Adhianto United States 9 477 1.5× 433 1.4× 196 1.3× 38 0.3× 40 0.3× 17 594

Countries citing papers authored by Subarno Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Subarno Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subarno Banerjee

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

All Works

10 of 10 papers shown
1.
Banerjee, Subarno, et al.. (2024). Inference for Ever-Changing Policy of Taint Analysis. 452–462.
2.
Banerjee, Subarno, Siwei Cui, Michael Emmi, et al.. (2023). Compositional Taint Analysis for Enforcing Security Policies at Scale. Spiral (Imperial College London). 1985–1996. 3 indexed citations
3.
Banerjee, Subarno, et al.. (2020). Sound garbage collection for C using pointer provenance. Proceedings of the ACM on Programming Languages. 4(OOPSLA). 1–28. 2 indexed citations
4.
Banerjee, Subarno, et al.. (2019). Iodine: Fast Dynamic Taint Tracking Using Rollback-free Optimistic Hybrid Analysis. 490–504. 15 indexed citations
5.
Venkataramani, Swagath, Ashish Ranjan, Subarno Banerjee, et al.. (2017). ScaleDeep. ACM SIGARCH Computer Architecture News. 45(2). 13–26. 19 indexed citations
6.
Venkataramani, Swagath, Ashish Ranjan, Subarno Banerjee, et al.. (2017). ScaleDeep. 13–26. 123 indexed citations
7.
Banerjee, Subarno, et al.. (2012). Shortest Path Routing for Co-ordinate Based Mobile Networks: A Genetic Algorithm Approach. 6. 50–53. 1 indexed citations
8.
Banerjee, Subarno. (2012). Coordinate Based Directed Routing Protocol. International Journal of Information and Electronics Engineering. 1 indexed citations
9.
Banerjee, Subarno, et al.. (2012). Priority based Routing by Capacity Distribution.
10.
Adhianto, Laksono, Subarno Banerjee, Mike Fagan, et al.. (2009). HPCTOOLKIT: tools for performance analysis of optimized parallel programs. Concurrency and Computation Practice and Experience. 22(6). 685–701. 359 indexed citations breakdown →

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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