Daniel Marino

2.3k citations
51 papers · 1.5k · h-index 19

Impact in

Papers in

Daniel Marino

50 papers receiving 1.5k citations

Peers

Daniel Marino
Comparison fields: 5 of 91
  • Hardware and Architecture 480
  • Computer Networks and Communications 732
  • Software 120
  • Artificial Intelligence 567
  • Signal Processing 160
Replace Pao‐Ann Hsiung with:
Pao‐Ann Hsiung Taiwan
Gigliola Vaglini Italy
Bestoun S. Ahmed Sweden
Arquimedes Canedo United States
Marko Hännikäinen Finland
Chunming Wu China
Christian Steger Austria
Christian Prehofer Germany
Eric Sax Germany
Enrico Vicario Italy
Daniel Marino relative to Pao‐Ann Hsiung Taiwan Pao‐Ann Hsiung's profile →
Citations per field
00.5×2.8×
Pao‐Ann Hsiung · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Marino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Marino Line = papers co-authored together Daniel Marino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017256
2 2009185
3 2020144
4 201890
5 201065
6 201862
7 202155
8 202153
9 202147
10 201247
11 201146
12 200939
13 201138
14 202035
15 201132
16 201927
17 201225
18 201024
19 201819
20 201218

About Daniel Marino

Daniel Marino is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (18 papers), Distributed systems and fault tolerance (12 papers), Anomaly Detection Techniques and Applications (12 papers), Smart Grid Security and Resilience (9 papers), Network Security and Intrusion Detection (9 papers), Security and Verification in Computing (8 papers), Fault Detection and Control Systems (5 papers) and Logic, programming, and type systems (5 papers). The work is most often cited by research in Hardware and Architecture (480 citations), Computer Networks and Communications (732 citations), Software (120 citations), Artificial Intelligence (567 citations) and Signal Processing (160 citations). Daniel Marino has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Milos Manic, Satish Narayanasamy, Kasun Amarasinghe, Madanlal Musuvathi, Chathurika S. Wickramasinghe, Todd Millstein, Abhayendra Singh, Wajih Ul Hassan, Adam Bates and Craig Rieger. Their work appears in journals such as IEEE Access, ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems, IEEE Transactions on Industrial Informatics and IEEE Transactions on Intelligent Transportation Systems.

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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