Abhinav Jangda

538 total citations
14 papers, 246 citations indexed

About

Abhinav Jangda is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abhinav Jangda has authored 14 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hardware and Architecture, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abhinav Jangda's work include Parallel Computing and Optimization Techniques (7 papers), Security and Verification in Computing (4 papers) and Advanced Neural Network Applications (4 papers). Abhinav Jangda is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Security and Verification in Computing (4 papers) and Advanced Neural Network Applications (4 papers). Abhinav Jangda collaborates with scholars based in United States, India and Belgium. Abhinav Jangda's co-authors include Arjun Guha, Uday Bondhugula, Yuriy Brun, Marco Serafini, Emery D. Berger, Yangtian Zi, Carolyn Jane Anderson, Michael Greenberg, Ming‐Ho Yee and Sydney Nguyen and has published in prestigious journals such as IEEE Transactions on Software Engineering, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Abhinav Jangda

14 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhinav Jangda United States	8	111	95	87	62	55	14	246
Olivier Zendra France	8	132 1.2×	70 0.7×	115 1.3×	77 1.2×	89 1.6×	29	258
Manuel Rigger Singapore	9	98 0.9×	153 1.6×	86 1.0×	28 0.5×	84 1.5×	31	257
Cong Yan United States	9	56 0.5×	233 2.5×	164 1.9×	40 0.6×	78 1.4×	27	302
Alexandros Koliousis United Kingdom	9	105 0.9×	222 2.3×	81 0.9×	54 0.9×	23 0.4×	23	289
Andrew Or United States	6	80 0.7×	231 2.4×	146 1.7×	47 0.8×	30 0.5×	7	300
Edward Gan United States	8	184 1.7×	93 1.0×	44 0.5×	41 0.7×	35 0.6×	14	260
Brendan Gregg United States	9	57 0.5×	205 2.2×	136 1.6×	18 0.3×	92 1.7×	20	282
Caroline Trippel United States	8	148 1.3×	117 1.2×	74 0.9×	24 0.4×	119 2.2×	21	271
Gregory H. Cooper United States	8	154 1.4×	169 1.8×	110 1.3×	24 0.4×	152 2.8×	12	340
Alessandro Morari United States	10	61 0.5×	130 1.4×	180 2.1×	41 0.7×	75 1.4×	27	295

Countries citing papers authored by Abhinav Jangda

Since Specialization

Citations

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

Fields of papers citing papers by Abhinav Jangda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Jangda

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Anderson, Carolyn Jane, et al.. (2024). Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 677–708. 7 indexed citations

Jangda, Abhinav, et al.. (2024). A Framework for Fine-Grained Synchronization of Dependent GPU Kernels. 93–105. 5 indexed citations

Nguyen, Sydney, Ming‐Ho Yee, Yangtian Zi, et al.. (2023). MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. IEEE Transactions on Software Engineering. 49(7). 3675–3691. 49 indexed citations

Jangda, Abhinav, et al.. (2021). Accelerating graph sampling for graph machine learning using GPUs. 311–326. 50 indexed citations

Jangda, Abhinav & Uday Bondhugula. (2020). An Effective Fusion and Tile Size Model for PolyMage. ACM Transactions on Programming Languages and Systems. 42(3). 1–27. 1 indexed citations

Jangda, Abhinav, et al.. (2019). Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code.. arXiv (Cornell University). 3 indexed citations

Jangda, Abhinav, et al.. (2019). Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code. USENIX Annual Technical Conference. 44. 107–120. 15 indexed citations

Jangda, Abhinav, et al.. (2019). Formal foundations of serverless computing. Proceedings of the ACM on Programming Languages. 3(OOPSLA). 1–26. 56 indexed citations

Phothilimthana, Phitchaya Mangpo, An Wang, Abhinav Jangda, et al.. (2019). Swizzle Inventor. 65–78. 17 indexed citations

10.

Jangda, Abhinav & Uday Bondhugula. (2018). An effective fusion and tile size model for optimizing image processing pipelines. 261–275. 21 indexed citations

11.

Jangda, Abhinav & Uday Bondhugula. (2018). An effective fusion and tile size model for optimizing image processing pipelines. ACM SIGPLAN Notices. 53(1). 261–275. 9 indexed citations

12.

Jangda, Abhinav & Greta Yorsh. (2017). Unbounded superoptimization. Queen Mary Research Online (Queen Mary University of London). 78–88. 5 indexed citations

13.

Jangda, Abhinav, et al.. (2017). RandHeap: Heap Randomization for Mitigating Heap Spray Attacks in Virtual Machines. 169–16909. 1 indexed citations

14.

Jangda, Abhinav, et al.. (2015). Adaptive Just-In-Time Code Diversification. Ghent University Academic Bibliography (Ghent University). 49–53. 7 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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