Supun Nakandala

585 total citations
26 papers, 377 citations indexed

About

Supun Nakandala is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Supun Nakandala has authored 26 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Supun Nakandala's work include Advanced Neural Network Applications (6 papers), Scientific Computing and Data Management (6 papers) and Physical Activity and Health (5 papers). Supun Nakandala is often cited by papers focused on Advanced Neural Network Applications (6 papers), Scientific Computing and Data Management (6 papers) and Physical Activity and Health (5 papers). Supun Nakandala collaborates with scholars based in United States, Australia and United Kingdom. Supun Nakandala's co-authors include Arun Kumar, Suresh Marru, Marlon Pierce, Sudhakar Pamidighantam, Yuhao Zhang, Yannis Papakonstantinou, Yong‐Yeol Ahn, Norman Makoto Su, Konstantinos Karanasos and Matteo Interlandi and has published in prestigious journals such as Medicine & Science in Sports & Exercise, International Journal of Obesity and International Journal of Behavioral Nutrition and Physical Activity.

In The Last Decade

Supun Nakandala

26 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supun Nakandala United States 12 123 88 68 63 61 26 377
Susan Price United States 11 161 1.3× 112 1.3× 195 2.9× 27 0.4× 26 0.4× 29 436
Qian Guo China 11 132 1.1× 23 0.3× 16 0.2× 10 0.2× 60 1.0× 52 465
Irene Li United States 10 677 5.5× 63 0.7× 164 2.4× 35 0.6× 94 1.5× 31 968
Alexandru Topîrceanu Romania 13 42 0.3× 16 0.2× 41 0.6× 8 0.1× 20 0.3× 44 393
Víctor Maojo Spain 10 38 0.3× 27 0.3× 41 0.6× 14 0.2× 27 0.4× 21 495
James J. Lu United States 11 142 1.2× 24 0.3× 74 1.1× 12 0.2× 4 0.1× 29 601
David F. Brailsford United Kingdom 9 55 0.4× 35 0.4× 62 0.9× 15 0.2× 73 1.2× 51 283
David Boaz Israel 9 119 1.0× 42 0.5× 33 0.5× 11 0.2× 53 0.9× 19 258
Hanan El Bakkali Morocco 9 112 0.9× 165 1.9× 202 3.0× 8 0.1× 9 0.1× 53 384
Steve Heller United States 5 69 0.6× 133 1.5× 45 0.7× 6 0.1× 11 0.2× 9 288

Countries citing papers authored by Supun Nakandala

Since Specialization
Citations

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

Fields of papers citing papers by Supun Nakandala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supun Nakandala

This figure shows the co-authorship network connecting the top 25 collaborators of Supun Nakandala. A scholar is included among the top collaborators of Supun Nakandala 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 Supun Nakandala. Supun Nakandala 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.
Hibbing, Paul R., Jordan Carlson, Mikael Anne Greenwood-Hickman, et al.. (2023). Low movement, deep-learned sitting patterns, and sedentary behavior in the International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE). International Journal of Obesity. 47(11). 1100–1107. 2 indexed citations
2.
Nakandala, Supun & Arun Kumar. (2022). Nautilus: An Optimized System for Deep Transfer Learning over Evolving Training Datasets. Proceedings of the 2022 International Conference on Management of Data. 506–520. 5 indexed citations
3.
Carlson, Jordan, Nicola D. Ridgers, Supun Nakandala, et al.. (2022). CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children. International Journal of Behavioral Nutrition and Physical Activity. 19(1). 109–109. 6 indexed citations
4.
He, Dong, Supun Nakandala, Rathijit Sen, et al.. (2022). Query processing on tensor computation runtimes. Proceedings of the VLDB Endowment. 15(11). 2811–2825. 27 indexed citations
5.
Bellettiere, John, Supun Nakandala, Elisabeth Winkler, et al.. (2022). CHAP-Adult: A Reliable and Valid Algorithm to Classify Sitting and Measure Sitting Patterns Using Data From Hip-Worn Accelerometers in Adults Aged 35+. Journal for the Measurement of Physical Behaviour. 5(4). 215–223. 8 indexed citations
6.
Nakandala, Supun, et al.. (2021). Intermittent human-in-the-loop model selection using cerebro. Proceedings of the VLDB Endowment. 14(12). 2687–2690. 3 indexed citations
7.
Nakandala, Supun, Yuhao Zhang, & Arun Kumar. (2021). Errata for "Cerebro: a data system for optimized deep learning model selection". Proceedings of the VLDB Endowment. 14(6). 863–863. 1 indexed citations
8.
Greenwood-Hickman, Mikael Anne, Supun Nakandala, Marta M. Jankowska, et al.. (2021). The CNN Hip Accelerometer Posture (CHAP) Method for Classifying Sitting Patterns from Hip Accelerometers: A Validation Study. Medicine & Science in Sports & Exercise. 53(11). 2445–2454. 24 indexed citations
9.
Nakandala, Supun & Arun Kumar. (2020). Vista: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale. 1685–1700. 10 indexed citations
10.
Nakandala, Supun, Yuhao Zhang, & Arun Kumar. (2020). Cerebro. Proceedings of the VLDB Endowment. 13(12). 2159–2173. 42 indexed citations
11.
Nakandala, Supun, Arun Kumar, & Yannis Papakonstantinou. (2020). Query Optimization for Faster Deep CNN Explanations. ACM SIGMOD Record. 49(1). 61–68. 3 indexed citations
12.
Nakandala, Supun, et al.. (2020). Incremental and Approximate Computations for Accelerating Deep CNN Inference. ACM Transactions on Database Systems. 45(4). 1–42. 15 indexed citations
13.
Nakandala, Supun, et al.. (2019). Managing authentication and authorization in distributed science gateway middleware. Future Generation Computer Systems. 111. 780–785. 19 indexed citations
14.
Yang, Jiue‐An, et al.. (2019). Predicting Eating Events in Free Living Individuals. 627–629. 3 indexed citations
15.
Li, Xin, et al.. (2019). Demonstration of Krypton. Proceedings of the VLDB Endowment. 12(12). 1894–1897. 6 indexed citations
16.
Nakandala, Supun, Suresh Marru, Sudhakar Pamidighantam, et al.. (2017). Apache Airavata Sharing Service. 1–8. 13 indexed citations
17.
Nakandala, Supun, et al.. (2017). Gendered Conversation in a Social Game-Streaming Platform. Proceedings of the International AAAI Conference on Web and Social Media. 11(1). 162–171. 30 indexed citations
18.
Nakandala, Supun, et al.. (2016). Anatomy of the SEAGrid Science Gateway. 1–8. 2 indexed citations
19.
20.
Nakandala, Supun, et al.. (2015). Schema-independent scientific data cataloging framework. 289–294. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Susan Price Breakdown of academic impact, for papers by Qian Guo Breakdown of academic impact, for papers by Irene Li Breakdown of academic impact, for papers by Alexandru Topîrceanu Breakdown of academic impact, for papers by Víctor Maojo Breakdown of academic impact, for papers by James J. Lu Breakdown of academic impact, for papers by David F. Brailsford Breakdown of academic impact, for papers by David Boaz Breakdown of academic impact, for papers by Hanan El Bakkali Breakdown of academic impact, for papers by Steve Heller
Rankless by CCL
2026