Ashwin M. Aji

590 total citations
33 papers, 413 citations indexed

About

Ashwin M. Aji is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Ashwin M. Aji has authored 33 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 25 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Ashwin M. Aji's work include Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (22 papers) and Distributed and Parallel Computing Systems (13 papers). Ashwin M. Aji is often cited by papers focused on Parallel Computing and Optimization Techniques (25 papers), Advanced Data Storage Technologies (22 papers) and Distributed and Parallel Computing Systems (13 papers). Ashwin M. Aji collaborates with scholars based in United States, Canada and Spain. Ashwin M. Aji's co-authors include Wu-chun Feng, Mayank Daga, Pavan Balaji, Keith Bisset, Shucai Xiao, James Dinan, Rajeev Thakur, Antonio J. Peña, Darius Buntinas and Xiaosong Ma and has published in prestigious journals such as BMC Genomics, IEEE Transactions on Parallel and Distributed Systems and Parallel Computing.

In The Last Decade

Ashwin M. Aji

33 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashwin M. Aji United States	13	294	283	95	78	40	33	413
Sangmin Seo United States	11	472 1.6×	487 1.7×	176 1.9×	44 0.6×	36 0.9×	26	559
Stephen L. Olivier United States	14	425 1.4×	427 1.5×	196 2.1×	36 0.5×	27 0.7×	46	541
Xuechen Zhang United States	14	456 1.6×	221 0.8×	157 1.7×	81 1.0×	57 1.4×	51	587
Kyle Wheeler United States	8	349 1.2×	323 1.1×	144 1.5×	75 1.0×	93 2.3×	15	435
Manman Ren United States	5	461 1.6×	510 1.8×	128 1.3×	52 0.7×	33 0.8×	8	558
Ulrich Drepper United States	8	223 0.8×	192 0.7×	85 0.9×	73 0.9×	18 0.5×	20	338
Robert Searles United States	5	306 1.0×	335 1.2×	116 1.2×	46 0.6×	27 0.7×	10	405
Mayank Daga United States	11	287 1.0×	309 1.1×	55 0.6×	58 0.7×	85 2.1×	16	423
Gregory L. Lee United States	10	366 1.2×	260 0.9×	163 1.7×	41 0.5×	20 0.5×	20	489
Óscar Hernández United States	12	261 0.9×	259 0.9×	112 1.2×	31 0.4×	15 0.4×	48	407

Countries citing papers authored by Ashwin M. Aji

Since Specialization

Citations

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

Fields of papers citing papers by Ashwin M. Aji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashwin M. Aji. 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 Ashwin M. Aji. The network helps show where Ashwin M. Aji may publish in the future.

Co-authorship network of co-authors of Ashwin M. Aji

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

All Works

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20 of 20 papers shown

Wang, Xiao, Jong Youl Choi, Hong‐Jun Yoon, et al.. (2025). ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. 86–98. 1 indexed citations

Choi, Jong Youl, Kshitij Mehta, Pei Zhang, et al.. (2025). Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN. The Journal of Supercomputing. 81(4). 5 indexed citations

Wang, Xiao, Siyan Liu, Aristeidis Tsaris, et al.. (2024). ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 7 indexed citations

Aji, Ashwin M., et al.. (2019). Optimizing Hyperplane Sweep Operations Using Asynchronous Multi-grain GPU Tasks. 59–69. 1 indexed citations

Aji, Ashwin M., et al.. (2018). Taming irregular applications via advanced dynamic parallelism on GPUs. 146–154. 7 indexed citations

Qasem, Apan, Ashwin M. Aji, & Michael Chu. (2018). Investigating Data Layout Transformations in Chapel. 915–924. 1 indexed citations

Qasem, Apan, Ashwin M. Aji, & Gregory Rodgers. (2017). Characterizing data organization effects on heterogeneous memory architectures. 160–170. 3 indexed citations

Qasem, Apan, Ashwin M. Aji, & Gregory Rodgers. (2017). Characterizing data organization effects on heterogeneous memory architectures. 160–170. 7 indexed citations

Aji, Ashwin M., Antonio J. Peña, Pavan Balaji, & Wu-chun Feng. (2015). Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL. 42–51. 16 indexed citations

10.

Aji, Ashwin M., et al.. (2013). A Scalable Multi-engine Xpress9 Compressor with Asynchronous Data Transfer. Research Portal (Queen's University Belfast). 161–164. 9 indexed citations

11.

Aji, Ashwin M., et al.. (2013). Online Performance Projection for Clusters with Heterogeneous GPUs. 283–290. 1 indexed citations

12.

Lama, Palden, Yan Li, Ashwin M. Aji, et al.. (2013). pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments. 145–154. 13 indexed citations

13.

Aji, Ashwin M., Pavan Balaji, James Dinan, Wu-chun Feng, & Rajeev Thakur. (2013). Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming. 1020–1029. 5 indexed citations

14.

Bisset, Keith, Ashwin M. Aji, Madhav Marathe, & Wu-chun Feng. (2012). High-performance biocomputing for simulating the spread of contagion over large contact networks. BMC Genomics. 13(Suppl 2). S3–S3. 12 indexed citations

15.

Ji, Feng, Ashwin M. Aji, James Dinan, et al.. (2012). Efficient Intranode Communication in GPU-Accelerated Systems. 1838–1847. 10 indexed citations

16.

Bisset, Keith, Ashwin M. Aji, Madhav Marathe, & Wu-chun Feng. (2011). High-performance biocomputing for simulating the spread of contagion over large contact networks. 3. 26–32. 6 indexed citations

17.

Daga, Mayank, Ashwin M. Aji, & Wu-chun Feng. (2011). On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing. 141–149. 77 indexed citations

18.

Aji, Ashwin M., Mayank Daga, & Wu-chun Feng. (2011). Bounding the effect of partition camping in GPU kernels. 1–10. 16 indexed citations

19.

Aji, Ashwin M. & Wu-chun Feng. (2008). Accelerating Data-Serial Applications on Data-Parallel GPGPUs: A Systems Approach. VTechWorks (Virginia Tech). 6 indexed citations

20.

Aji, Ashwin M., Wu-chun Feng, Filip Blagojević, & Dimitrios S. Nikolopoulos. (2008). Cell-SWat. Research Portal (Queen's University Belfast). 13–22. 24 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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