R.J. Lipton
- Software top 0.2%
- Information Systems top 0.5%
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Richard A. DeMilloFrederick SaywardLawrence SnyderElchanan MosselEvangelos MarkakisAmin SaberiAnne CondonJeff Naughton
- Topics
- semigroups and automata theory (10 papers)Complexity and Algorithms in Graphs (10 papers)Algorithms and Data Compression (8 papers)
- Journals
- Proceedings of the IEEEMedicine & Science in Sports & ExerciseIEEE Transactions on Software Engineering
- Partner nations
- United StatesGreeceIndia
In The Last Decade
R.J. Lipton
47 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Software 1.3k
- Information Systems 878
- Artificial Intelligence 664
- Computer Networks and Communications 562
- Computational Theory and Mathematics 441
Countries citing papers authored by R.J. Lipton
This map shows the geographic impact of R.J. Lipton'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 R.J. Lipton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.J. Lipton more than expected).
Fields of papers citing papers by R.J. Lipton
This network shows the impact of papers produced by R.J. Lipton. 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 R.J. Lipton. The network helps show where R.J. Lipton may publish in the future.
Co-authorship network of co-authors of R.J. Lipton
This figure shows the co-authorship network connecting the top 25 collaborators of R.J. Lipton. A scholar is included among the top collaborators of R.J. Lipton 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 R.J. Lipton. R.J. Lipton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 33 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 81 | |
| 11 | 19 | |
| 12 | Estimating the size of generalized transitive closures | 45 |
| 13 | 39 | |
| 14 | 24 | |
| 15 | 41 | |
| 16 | 6 | |
| 17 | Hints on Test Data Selection: Help for the Practicing Programmerbreakdown → | 1403 |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 1 |
About R.J. Lipton
R.J. Lipton is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include semigroups and automata theory (10 papers), Complexity and Algorithms in Graphs (10 papers) and Algorithms and Data Compression (8 papers). The work is most often cited by research in Software (1.3k citations), Information Systems (878 citations) and Hardware and Architecture (244 citations). R.J. Lipton has collaborated with scholars based in United States, Greece and India. Frequent co-authors include Richard A. DeMillo, Frederick Sayward, Lawrence Snyder, Elchanan Mossel, Evangelos Markakis, Amin Saberi, Anne Condon, Jeff Naughton, Ramachandran Kannan and Anastasios Viglas. Their work appears in journals such as Proceedings of the IEEE, Medicine & Science in Sports & Exercise and IEEE Transactions on Software Engineering.
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.