Yonathan Bard
Impact in
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- Advanced Queuing Theory Analysis
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- Probabilistic and Robust Engineering Design
Papers in
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- Real-Time Systems Scheduling 5
- Parallel Computing and Optimization Techniques 4
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- Advanced Queuing Theory Analysis 9
- Co-authors
- John M. Chambers (1 shared paper)Leon Lapidus (2 shared papers)John Greenstadt (1 shared paper)Suryanarayana Kajampady (1 shared paper)Charles H. Sauer (1 shared paper)R. E. Larson (1 shared paper)
- Journals
- IBM Journal of Research and Development (6 papers)IBM Systems Journal (3 papers)Mathematics of Computation (2 papers)Performance Evaluation (2 papers)IEEE Transactions on Automatic Control (2 papers)
- Partner nations
- United States
In The Last Decade
Yonathan Bard
31 papers receiving 2.3k citations
Yonathan Bard's Hit Papers
Peers
Comparison fields: 5 of 170
- Management Information Systems 255
- Statistics, Probability and Uncertainty 187
- Numerical Analysis 117
- Statistics and Probability 163
- Control and Systems Engineering 426
Countries citing papers authored by Yonathan Bard
This map shows the geographic impact of Yonathan Bard'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 Yonathan Bard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonathan Bard more than expected).
Fields of papers citing papers by Yonathan Bard
This network shows the impact of papers produced by Yonathan Bard. 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 Yonathan Bard. The network helps show where Yonathan Bard may publish in the future.
Co-authors
The 6 scholars most cited alongside Yonathan Bard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nonlinear Parameter Estimation Hit paper breakdown → | 1975 | 1864 |
| 2 | 1970 | 205 | |
| 3 | Some Extensions to Multiclass Queueing Network Analysis | 1979 | 128 |
| 4 | 1980 | 64 | |
| 5 | 1969 | 46 | |
| 6 | 1971 | 32 | |
| 7 | 1968 | 31 | |
| 8 | 1958 | 21 | |
| 9 | 1980 | 19 | |
| 10 | 1973 | 19 | |
| 11 | 1978 | 19 | |
| 12 | 1978 | 17 | |
| 13 | 1973 | 16 | |
| 14 | 1981 | 15 | |
| 15 | 1982 | 10 | |
| 16 | 1968 | 10 | |
| 17 | 1975 | 10 | |
| 18 | 1970 | 9 | |
| 19 | 1975 | 8 | |
| 20 | 1982 | 7 |
About Yonathan Bard
Yonathan Bard is a scholar working on Hardware and Architecture, Management Information Systems, Management Science and Operations Research, Computer Networks and Communications and Computational Theory and Mathematics, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (9 papers), Simulation Techniques and Applications (7 papers), Real-Time Systems Scheduling (5 papers), Distributed systems and fault tolerance (5 papers), Cloud Computing and Resource Management (4 papers), Petri Nets in System Modeling (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Management Information Systems (255 citations), Statistics, Probability and Uncertainty (187 citations), Numerical Analysis (117 citations), Statistics and Probability (163 citations) and Control and Systems Engineering (426 citations). Yonathan Bard has collaborated with scholars based in United States. Frequent co-authors include John M. Chambers, Leon Lapidus, John Greenstadt, Suryanarayana Kajampady, Charles H. Sauer and R. E. Larson. Their work appears in journals such as IBM Journal of Research and Development, IBM Systems Journal, Mathematics of Computation, Performance Evaluation and IEEE Transactions on Automatic Control.
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.