Daniel Marino

2.3k total citations
51 papers, 1.5k citations indexed

About

Daniel Marino is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Daniel Marino has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 18 papers in Hardware and Architecture. Recurrent topics in Daniel Marino's work include Parallel Computing and Optimization Techniques (18 papers), Distributed systems and fault tolerance (12 papers) and Anomaly Detection Techniques and Applications (12 papers). Daniel Marino is often cited by papers focused on Parallel Computing and Optimization Techniques (18 papers), Distributed systems and fault tolerance (12 papers) and Anomaly Detection Techniques and Applications (12 papers). Daniel Marino collaborates with scholars based in United States, Germany and United Kingdom. Daniel Marino's co-authors include Milos Manic, Satish Narayanasamy, Kasun Amarasinghe, Madanlal Musuvathi, Chathurika S. Wickramasinghe, Todd Millstein, Abhayendra Singh, Adam Bates, Wajih Ul Hassan and Craig Rieger and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Daniel Marino

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Marino United States 19 732 567 480 396 218 51 1.5k
Pao‐Ann Hsiung Taiwan 17 398 0.5× 213 0.4× 562 1.2× 274 0.7× 142 0.7× 185 1.2k
Christian Prehofer Germany 20 937 1.3× 398 0.7× 90 0.2× 481 1.2× 281 1.3× 121 1.5k
Christian Steger Austria 15 335 0.5× 212 0.4× 358 0.7× 561 1.4× 158 0.7× 262 1.2k
Marko Hännikäinen Finland 20 1.2k 1.7× 325 0.6× 471 1.0× 746 1.9× 88 0.4× 113 1.9k
Takeru Inoue Japan 13 1.2k 1.6× 524 0.9× 60 0.1× 819 2.1× 132 0.6× 80 1.9k
Eric Sax Germany 15 163 0.2× 251 0.4× 152 0.3× 183 0.5× 136 0.6× 179 1.0k
Chunming Wu China 24 881 1.2× 683 1.2× 67 0.1× 261 0.7× 411 1.9× 209 1.8k
Arquimedes Canedo United States 14 175 0.2× 354 0.6× 223 0.5× 101 0.3× 125 0.6× 52 1.0k
Alessandro V. Papadopoulos Sweden 20 783 1.1× 322 0.6× 228 0.5× 129 0.3× 549 2.5× 152 1.3k
Bestoun S. Ahmed Sweden 22 347 0.5× 457 0.8× 88 0.2× 199 0.5× 366 1.7× 69 1.5k

Countries citing papers authored by Daniel Marino

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Marino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Marino

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Marino. A scholar is included among the top collaborators of Daniel Marino 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 Daniel Marino. Daniel Marino 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.
Marino, Daniel, Chathurika S. Wickramasinghe, Craig Rieger, & Milos Manic. (2025). Self-Supervised and Interpretable Anomaly Detection Using Network Transformers. IEEE Transactions on Industrial Informatics. 21(5). 4252–4261.
2.
Marino, Daniel, et al.. (2023). Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting. IEEE Access. 11. 124725–124737. 2 indexed citations
3.
Wickramasinghe, Chathurika S., et al.. (2023). RX-ADS: Interpretable Anomaly Detection Using Adversarial ML for Electric Vehicle CAN Data. IEEE Transactions on Intelligent Transportation Systems. 24(12). 14051–14063. 17 indexed citations
4.
Marino, Daniel, Chathurika S. Wickramasinghe, Vivek Kumar Singh, et al.. (2021). The Virtualized Cyber-Physical Testbed for Machine Learning Anomaly Detection: A Wind Powered Grid Case Study. IEEE Access. 9. 159475–159494. 18 indexed citations
5.
Wickramasinghe, Chathurika S., Kasun Amarasinghe, Daniel Marino, Craig Rieger, & Milos Manic. (2021). Explainable Unsupervised Machine Learning for Cyber-Physical Systems. IEEE Access. 9. 131824–131843. 47 indexed citations
6.
Wickramasinghe, Chathurika S., et al.. (2019). Intelligent Driver System for Improving Fuel Efficiency in Vehicle Fleets. 33. 34–40. 1 indexed citations
7.
Marino, Daniel & Milos Manic. (2019). Modeling and Planning Under Uncertainty Using Deep Neural Networks. IEEE Transactions on Industrial Informatics. 15(8). 4442–4454. 9 indexed citations
8.
Marino, Daniel, Matthew Anderson, Kevin Kenney, & Milos Manic. (2018). Interpretable Data-Driven Modeling in Biomass Preprocessing. 449. 291–297. 1 indexed citations
9.
Wickramasinghe, Chathurika S., Kasun Amarasinghe, Daniel Marino, & Milos Manic. (2018). Deep Self-Organizing Maps for Visual Data Mining. 9. 304–310. 5 indexed citations
10.
Marino, Daniel, Kasun Amarasinghe, & Milos Manic. (2016). Simultaneous generation-classification using LSTM. 5 indexed citations
11.
Zhang, Mingwei, Daniel Marino, & Petros Efstathopoulos. (2015). Harbormaster: Policy Enforcement for Containers. 355–362. 7 indexed citations
12.
Marino, Daniel, Todd Millstein, Madanlal Musuvathi, Satish Narayanasamy, & Abhayendra Singh. (2015). The Silently Shifting Semicolon. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 177–189. 3 indexed citations
13.
Nayak, Kartik, Daniel Marino, Petros Efstathopoulos, & Tudor Dumitraş. (2014). Some Vulnerabilities Are Different Than Others - Studying Vulnerabilities and Attack Surfaces in the Wild.. 426–446. 7 indexed citations
14.
Marino, Daniel, Christian Hammer, Julian Dolby, et al.. (2013). Detecting deadlock in programs with data-centric synchronization. International Conference on Software Engineering. 322–331. 16 indexed citations
15.
Marino, Daniel, Christian Hammer, Julian Dolby, et al.. (2013). Detecting deadlock in programs with data-centric synchronization. 2013 35th International Conference on Software Engineering (ICSE). 322–331. 7 indexed citations
16.
Dolby, Julian, Christian Hammer, Daniel Marino, et al.. (2012). A data-centric approach to synchronization. ACM Transactions on Programming Languages and Systems. 34(1). 1–48. 18 indexed citations
17.
Marino, Daniel, Abhayendra Singh, Todd Millstein, Madanlal Musuvathi, & Satish Narayanasamy. (2011). A case for an SC-preserving compiler. 199–210. 46 indexed citations
18.
Marino, Daniel, Abhayendra Singh, Todd Millstein, Madanlal Musuvathi, & Satish Narayanasamy. (2011). A case for an SC-preserving compiler. ACM SIGPLAN Notices. 46(6). 199–210. 38 indexed citations
19.
Marino, Daniel & Todd Millstein. (2009). A generic type-and-effect system. 39–50. 39 indexed citations
20.
Marino, Daniel, Madanlal Musuvathi, & Satish Narayanasamy. (2009). LiteRace. ACM SIGPLAN Notices. 44(6). 134–143. 16 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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