Loc Hoang

404 total citations
12 papers, 221 citations indexed

About

Loc Hoang is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Loc Hoang has authored 12 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Loc Hoang's work include Graph Theory and Algorithms (12 papers), Cloud Computing and Resource Management (7 papers) and Interconnection Networks and Systems (4 papers). Loc Hoang is often cited by papers focused on Graph Theory and Algorithms (12 papers), Cloud Computing and Resource Management (7 papers) and Interconnection Networks and Systems (4 papers). Loc Hoang collaborates with scholars based in United States, India and China. Loc Hoang's co-authors include Gurbinder Gill, Keshav Pingali, Roshan Dathathri, Hoang-Vu Dang, Marc Snir, Nikoli Dryden, Alex Brooks, Xuhao Chen, Vijaya Ramachandran and V. Krishna Nandivada and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.

In The Last Decade

Loc Hoang

12 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Loc Hoang United States	9	185	104	97	71	60	12	221
Roger Pearce United States	5	138 0.7×	62 0.6×	108 1.1×	66 0.9×	59 1.0×	8	201
Carl Yang United States	10	215 1.2×	137 1.3×	130 1.3×	56 0.8×	150 2.5×	12	304
Khaled Ammar Canada	6	194 1.0×	113 1.1×	97 1.0×	117 1.6×	17 0.3×	15	236
Charith Mendis United States	10	96 0.5×	94 0.9×	73 0.8×	53 0.7×	125 2.1×	24	218
Flavio Vella Italy	7	60 0.3×	84 0.8×	75 0.8×	22 0.3×	61 1.0×	31	175
Christopher R. Aberger United States	6	137 0.7×	114 1.1×	126 1.3×	44 0.6×	44 0.7×	6	233
Roman Dementiev Germany	11	72 0.4×	108 1.0×	184 1.9×	40 0.6×	111 1.9×	20	260
Woon-Hak Kang South Korea	10	105 0.6×	75 0.7×	335 3.5×	151 2.1×	160 2.7×	16	423
Longbin Lai Australia	7	233 1.3×	192 1.8×	92 0.9×	34 0.5×	25 0.4×	12	270
Avishek Adhikari India	12	211 1.1×	170 1.6×	44 0.5×	29 0.4×	17 0.3×	47	328

Countries citing papers authored by Loc Hoang

Since Specialization

Citations

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

Fields of papers citing papers by Loc Hoang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loc Hoang

This figure shows the co-authorship network connecting the top 25 collaborators of Loc Hoang. A scholar is included among the top collaborators of Loc Hoang 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 Loc Hoang. Loc Hoang 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:

12 of 12 papers shown

1.

Chen, Xuhao, Roshan Dathathri, Gurbinder Gill, Loc Hoang, & Keshav Pingali. (2021). Sandslash. 378–391. 28 indexed citations

2.

Hoang, Loc, Roshan Dathathri, Gurbinder Gill, & Keshav Pingali. (2021). CuSP. ACM SIGOPS Operating Systems Review. 55(1). 47–60. 4 indexed citations

3.

Dathathri, Roshan, et al.. (2020). A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs. 84–94. 8 indexed citations

4.

Hoang, Loc, et al.. (2019). A round-efficient distributed betweenness centrality algorithm. 272–286. 18 indexed citations

5.

Dathathri, Roshan, Gurbinder Gill, Loc Hoang, et al.. (2019). Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics. 15–28. 15 indexed citations

6.

Hoang, Loc, et al.. (2019). DistTC: High Performance Distributed Triangle Counting. 1–7. 13 indexed citations

7.

Hoang, Loc, Roshan Dathathri, Gurbinder Gill, & Keshav Pingali. (2019). CuSP: A Customizable Streaming Edge Partitioner for Distributed Graph Analytics. 439–450. 15 indexed citations

8.

Dathathri, Roshan, Gurbinder Gill, Loc Hoang, & Keshav Pingali. (2019). Phoenix. 615–630. 3 indexed citations

9.

Gill, Gurbinder, Roshan Dathathri, Loc Hoang, & Keshav Pingali. (2018). A study of partitioning policies for graph analytics on large-scale distributed platforms. Proceedings of the VLDB Endowment. 12(4). 321–334. 16 indexed citations

10.

Dang, Hoang-Vu, Roshan Dathathri, Gurbinder Gill, et al.. (2018). A Lightweight Communication Runtime for Distributed Graph Analytics. 980–989. 19 indexed citations

11.

Dathathri, Roshan, Gurbinder Gill, Loc Hoang, et al.. (2018). Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. 752–768. 76 indexed citations

12.

Dathathri, Roshan, Gurbinder Gill, Loc Hoang, et al.. (2018). Gluon: a communication-optimizing substrate for distributed heterogeneous graph analytics. ACM SIGPLAN Notices. 53(4). 752–768. 6 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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