J. Ian Munro
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 1%
- Computational Theory and Mathematics top 1%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Venkatesh RamanMike PatersonErik D. DemaineSrinivasa Rao SattiGastón H. GonnetAlejandro López-OrtízAndrej BrodnikAlexander Golynski
- Topics
- Algorithms and Data Compression (90 papers)Data Management and Algorithms (29 papers)semigroups and automata theory (23 papers)
- Partner nations
- CanadaUnited StatesChile
In The Last Decade
J. Ian Munro
116 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 1.5k
- Computer Networks and Communications 954
- Computational Theory and Mathematics 569
- Signal Processing 564
- Computer Vision and Pattern Recognition 322
Countries citing papers authored by J. Ian Munro
This map shows the geographic impact of J. Ian Munro'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 J. Ian Munro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ian Munro more than expected).
Fields of papers citing papers by J. Ian Munro
This network shows the impact of papers produced by J. Ian Munro. 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 J. Ian Munro. The network helps show where J. Ian Munro may publish in the future.
Co-authorship network of co-authors of J. Ian Munro
This figure shows the co-authorship network connecting the top 25 collaborators of J. Ian Munro. A scholar is included among the top collaborators of J. Ian Munro 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 J. Ian Munro. J. Ian Munro 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 | Nearly-Optimal Mergesorts: Fast, Practical Sorting Methods That Optimally Adapt to Existing Runs. | 1 |
| 3 | 5 | |
| 4 | 3 | |
| 5 | Low Space Data Structures for Geometric Range Mode Query. | 1 |
| 6 | 0 | |
| 7 | 19 | |
| 8 | 27 | |
| 9 | 33 | |
| 10 | Succinct representation of labeled graphs | 7 |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | 19 | |
| 15 | 1 | |
| 16 | 92 | |
| 17 | 29 | |
| 18 | Deterministic skip lists | 53 |
| 19 | 9 | |
| 20 | Robin Hood Hashing (Preliminary Report) | 4 |
About J. Ian Munro
J. Ian Munro is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Signal Processing, having authored 126 papers that have together received 2.2k indexed citations. Recurring topics across this work include Algorithms and Data Compression (90 papers), Data Management and Algorithms (29 papers) and semigroups and automata theory (23 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (229 citations), Signal Processing (564 citations) and Artificial Intelligence (1.5k citations). J. Ian Munro has collaborated with scholars based in Canada, United States and Chile. Frequent co-authors include Venkatesh Raman, Mike Paterson, Erik D. Demaine, Srinivasa Rao Satti, Gastón H. Gonnet, Alejandro López-Ortíz, Andrej Brodnik, Alexander Golynski, Meng He and Jérémy Barbay. Their work appears in journals such as Operations Research, Journal of the ACM and SIAM Journal on 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.