Daniel P. Connors
- Industrial and Manufacturing Engineering top 2%
- Management Information Systems top 5%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics top 10%
- Topics
- Scheduling and Optimization Algorithms (8 papers)Scheduling and Timetabling Solutions (4 papers)Markov Chains and Monte Carlo Methods (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsManagement Science and Operations Research
- Journals
- IEEE Transactions on Robotics and AutomationIBM Journal of Research and DevelopmentSIAM Journal on Control and Optimization
- Partner nations
- United StatesIsrael
In The Last Decade
Daniel P. Connors
15 papers receiving 310 citations
Peers
Comparison fields: 5 of 55
- Industrial and Manufacturing Engineering 194
- Management Information Systems 120
- Management Science and Operations Research 86
- Computer Networks and Communications 52
- Computational Theory and Mathematics 36
Countries citing papers authored by Daniel P. Connors
This map shows the geographic impact of Daniel P. Connors'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 P. Connors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Connors more than expected).
Fields of papers citing papers by Daniel P. Connors
This network shows the impact of papers produced by Daniel P. Connors. 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 P. Connors. The network helps show where Daniel P. Connors may publish in the future.
Co-authorship network of co-authors of Daniel P. Connors
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Connors. A scholar is included among the top collaborators of Daniel P. Connors 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 P. Connors. Daniel P. Connors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 62 | |
| 7 | 19 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 120 | |
| 11 | 7 | |
| 12 | 59 | |
| 13 | 21 | |
| 14 | 13 | |
| 15 | Balance of Recurrence Order in Time-Inhomogeneous Markov Chains With Applications to Simulated Annealing | 7 |
| 16 | 9 |
About Daniel P. Connors
Daniel P. Connors is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Management Information Systems, having authored 16 papers that have together received 348 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (8 papers), Scheduling and Timetabling Solutions (4 papers) and Markov Chains and Monte Carlo Methods (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (194 citations), Management Information Systems (120 citations) and Management Science and Operations Research (86 citations). Daniel P. Connors has collaborated with scholars based in United States and Israel. Frequent co-authors include D.D. Yao, G. Feigin, Donna L. Gresh, Y. Naveh, Yossi Richter, Yaniv Altshuler, P. Kumar, P. R. Kumar, P. Senthil Kumar and Robert J. Wittrock. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IBM Journal of Research and Development and SIAM Journal on Control and Optimization.
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.