Mark K. Gardner
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 10
- Embedded Systems Design Techniques 5
-
- Distributed and Parallel Computing Systems 13
- Network Traffic and Congestion Control 11
- Advanced Data Storage Technologies 8
- Software-Defined Networks and 5G 7
- Peer-to-Peer Network Technologies 6
- Distributed systems and fault tolerance 4
- Information Systems top 5%
- Computer Science Applications top 10%
- Co-authors
- Wu-chun FengJeremy ArchuletaHeshan LinZhe ZhangXiaosong MaXuan ZhengHyuk LeeMalathi Veeraraghavan
- Journals
- IEEE Transactions on Software Engineering (1 paper)Journal of Grid Computing (1 paper)Parallel Computing (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Mark K. Gardner
35 papers receiving 473 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 185
- Computer Networks and Communications 378
- Information Systems 175
- Computer Science Applications 25
- Information Systems and Management 30
Countries citing papers authored by Mark K. Gardner
This map shows the geographic impact of Mark K. Gardner'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 Mark K. Gardner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark K. Gardner more than expected).
Fields of papers citing papers by Mark K. Gardner
This network shows the impact of papers produced by Mark K. Gardner. 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 Mark K. Gardner. The network helps show where Mark K. Gardner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark K. Gardner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2019 | 10 | |
| 3 | 2017 | 1 | |
| 4 | 2016 | 3 | |
| 5 | 2013 | 7 | |
| 6 | 2013 | 14 | |
| 7 | 2013 | 4 | |
| 8 | 2011 | 3 | |
| 9 | 2010 | 4 | |
| 10 | 2010 | 37 | |
| 11 | 2006 | 2 | |
| 12 | 2006 | 7 | |
| 13 | 2004 | 2 | |
| 14 | 2004 | 15 | |
| 15 | A High-Fidelity Software Oscilloscope for Globus | 2004 | 2 |
| 16 | 2003 | 13 | |
| 17 | 2003 | 10 | |
| 18 | Capturing network traffic with a MAGNeT | 2001 | 5 |
| 19 | Probabilistic analysis and scheduling of critical soft real-time systems | 1999 | 34 |
| 20 | 1997 | 20 |
About Mark K. Gardner
Mark K. Gardner is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Science Applications, Software and Information Systems, having authored 36 papers that have together received 508 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (13 papers), Network Traffic and Congestion Control (11 papers), Parallel Computing and Optimization Techniques (10 papers), Advanced Data Storage Technologies (8 papers), Software-Defined Networks and 5G (7 papers), Peer-to-Peer Network Technologies (6 papers), Embedded Systems Design Techniques (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Hardware and Architecture (185 citations), Computer Networks and Communications (378 citations), Information Systems (175 citations), Computer Science Applications (25 citations) and Information Systems and Management (30 citations). Mark K. Gardner has collaborated with scholars based in United States and Germany. Frequent co-authors include Wu-chun Feng, Jeremy Archuleta, Heshan Lin, Zhe Zhang, Xiaosong Ma, Xuan Zheng, Hyuk Lee, Malathi Veeraraghavan, Sunil Thulasidasan and Jinghao Sun. Their work appears in journals such as IEEE Transactions on Software Engineering, Journal of Grid Computing, Parallel Computing, Computer Communications and Journal of Parallel and Distributed Computing.
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.