Apan Qasem

437 total citations
38 papers, 222 citations indexed

About

Apan Qasem is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Apan Qasem has authored 38 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hardware and Architecture, 29 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Apan Qasem's work include Parallel Computing and Optimization Techniques (30 papers), Advanced Data Storage Technologies (18 papers) and Cloud Computing and Resource Management (11 papers). Apan Qasem is often cited by papers focused on Parallel Computing and Optimization Techniques (30 papers), Advanced Data Storage Technologies (18 papers) and Cloud Computing and Resource Management (11 papers). Apan Qasem collaborates with scholars based in United States, India and Türkiye. Apan Qasem's co-authors include Ken Kennedy, John Mellor‐Crummey, Martin Burtscher, Qing Yi, Clara Novoa, Ziliang Zong, Guohua Jin, Ashwin M. Aji, Dan E. Tamir and Gregory Rodgers and has published in prestigious journals such as Journal of Parallel and Distributed Computing, The Journal of Supercomputing and İYTE (İZMİR YÜKSEK TEKNOLOJİ ENSTİTÜSÜ).

In The Last Decade

Apan Qasem

34 papers receiving 210 citations

Peers

Apan Qasem
Bil Lewis United States
Luís Nogueira Portugal
Bernd Burgstaller South Korea
Dong-In Kang United States
C. Ykman-Couvreur Belgium
Kattamuri Ekanadham United States
Yongseok Son South Korea
Xavier Rousset de Pina France
Jason Poovey United States
Freddy Gabbay Israel
Bil Lewis United States
Apan Qasem
Citations per year, relative to Apan Qasem Apan Qasem (= 1×) peers Bil Lewis

Countries citing papers authored by Apan Qasem

Since Specialization
Citations

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

Fields of papers citing papers by Apan Qasem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apan Qasem

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

All Works

20 of 20 papers shown
1.
2.
Qasem, Apan, David P. Bunde, & Philip J. Schielke. (2021). A module-based introduction to heterogeneous computing in core courses. Journal of Parallel and Distributed Computing. 158. 56–66. 7 indexed citations
3.
Bunde, David P., Apan Qasem, & Philip J. Schielke. (2021). Teaching about Heterogeneous Computing. 1355–1355. 1 indexed citations
4.
Qasem, Apan, et al.. (2020). Intelligent Data Placement on Discrete GPU Nodes with Unified Memory. 139–151. 3 indexed citations
5.
Qasem, Apan. (2019). A Gentle Introduction to Heterogeneous Computing for CS1 Students. 10–16. 1 indexed citations
6.
7.
Qasem, Apan, Ashwin M. Aji, & Michael Chu. (2018). Investigating Data Layout Transformations in Chapel. 915–924. 1 indexed citations
8.
Qasem, Apan, Ashwin M. Aji, & Gregory Rodgers. (2017). Characterizing data organization effects on heterogeneous memory architectures. 160–170. 3 indexed citations
9.
10.
Qasem, Apan, et al.. (2017). Mitigating register pressure in GPU kernels for improved energy efficiency. 1–7. 1 indexed citations
11.
Qasem, Apan, Ashwin M. Aji, & Gregory Rodgers. (2017). Characterizing data organization effects on heterogeneous memory architectures. 160–170. 7 indexed citations
12.
Burtscher, Martin, et al.. (2015). A Module-based Approach to Adopting the 2013 ACM Curricular Recommendations on Parallel Computing. 36–41. 14 indexed citations
13.
Novoa, Clara, et al.. (2014). A SIMD Solution for the Quadratic Assignment Problem with GPU Acceleration. 1–8. 6 indexed citations
14.
Qasem, Apan, et al.. (2012). Improved Energy Efficiency for Multithreaded Kernels through Model-Based Autotuning. 37. 1–6. 2 indexed citations
15.
Yi, Qing, et al.. (2011). Understanding stencil code performance on multicore architectures. 1–10. 25 indexed citations
16.
Novoa, Clara, et al.. (2010). An Evaluation of Parallel Knapsack Algorithms on Multicore Architectures.. 230–235. 6 indexed citations
17.
Qasem, Apan & Ken Kennedy. (2008). Model-guided empirical tuning of loop fusion. 1(3). 183–183. 2 indexed citations
18.
Qasem, Apan & Ken Kennedy. (2006). Profitable loop fusion and tiling using model-driven empirical search. 249–258. 33 indexed citations
19.
Qasem, Apan, Ken Kennedy, & John Mellor‐Crummey. (2006). Automatic tuning of whole applications using direct search and a performance-based transformation system. The Journal of Supercomputing. 36(2). 183–196. 29 indexed citations
20.
Kennedy, Ken & Apan Qasem. (2005). Evaluating a Model for Cache Conflict Miss Prediction. 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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