Robert N. Moll
About
In The Last Decade
Robert N. Moll
29 papers receiving 379 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 174
- Computational Theory and Mathematics 134
- Industrial and Manufacturing Engineering 90
- Computer Networks and Communications 74
- Automotive Engineering 55
Countries citing papers authored by Robert N. Moll
This map shows the geographic impact of Robert N. Moll'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 Robert N. Moll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert N. Moll more than expected).
Fields of papers citing papers by Robert N. Moll
This network shows the impact of papers produced by Robert N. Moll. 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 Robert N. Moll. The network helps show where Robert N. Moll may publish in the future.
Co-authorship network of co-authors of Robert N. Moll
This figure shows the co-authorship network connecting the top 25 collaborators of Robert N. Moll. A scholar is included among the top collaborators of Robert N. Moll 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 Robert N. Moll. Robert N. Moll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | iJava - an online interactive textbook for elementary Java instruction: demonstration | 3 |
| 2 | Monocrystalline silicon-future cell concepts | 8 |
| 3 | 20 | |
| 4 | 12 | |
| 5 | Machine Learning for Subproblem Selection | 1 |
| 6 | Learning Instance-Independent Value Functions to Enhance Local Search | 18 |
| 7 | Reinforcement and Local Searc: A Case Study TITLE2: | 1 |
| 8 | Using Weighted Bipartite Matching to Solve the General 3-D Rigid Motion Problem | 2 |
| 9 | 1 | |
| 10 | 72 | |
| 11 | 7 | |
| 12 | OPL: A notation and solution methodology for hierarchically-structured optimization problems | 1 |
| 13 | 108 | |
| 14 | 16 | |
| 15 | 18 | |
| 16 | The synthesis of programs by analogy | 3 |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 6 |
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.