Edson N. Cáceres
- Artificial Intelligence
- Computer Networks and Communications
- Industrial and Manufacturing Engineering top 10%
- Computational Theory and Mathematics
- Molecular Biology
- Co-authors
- F. DehneS. W. SongJayme L. SzwarcfiterFrank DehneAlbert P.C. ChanEdson BorinNalvo F. AlmeidaNarsingh Deo
- Topics
- Algorithms and Data Compression (14 papers)DNA and Biological Computing (7 papers)Advanced Manufacturing and Logistics Optimization (6 papers)
In The Last Decade
Edson N. Cáceres
30 papers receiving 123 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 83
- Computer Networks and Communications 52
- Industrial and Manufacturing Engineering 35
- Computational Theory and Mathematics 32
- Molecular Biology 31
Countries citing papers authored by Edson N. Cáceres
This map shows the geographic impact of Edson N. Cáceres'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 Edson N. Cáceres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edson N. Cáceres more than expected).
Fields of papers citing papers by Edson N. Cáceres
This network shows the impact of papers produced by Edson N. Cáceres. 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 Edson N. Cáceres. The network helps show where Edson N. Cáceres may publish in the future.
Co-authorship network of co-authors of Edson N. Cáceres
This figure shows the co-authorship network connecting the top 25 collaborators of Edson N. Cáceres. A scholar is included among the top collaborators of Edson N. Cáceres 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 Edson N. Cáceres. Edson N. Cáceres 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 0-1 Knapsack Problem: BSP/CGM Algorithm and Implementation. | 4 |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Coarse Grained Parallel Graph Planarity Testing. | 2 |
About Edson N. Cáceres
Edson N. Cáceres is a scholar working on Industrial and Manufacturing Engineering, Hardware and Architecture and Artificial Intelligence, having authored 32 papers that have together received 135 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), DNA and Biological Computing (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). The work is most often cited by research in Hardware and Architecture (29 citations), Industrial and Manufacturing Engineering (35 citations) and Artificial Intelligence (83 citations). Edson N. Cáceres has collaborated with scholars based in Brazil, Canada and Peru. Frequent co-authors include F. Dehne, S. W. Song, Jayme L. Szwarcfiter, Frank Dehne, Albert P.C. Chan, Edson Borin, Nalvo F. Almeida, Narsingh Deo, Shivakumar Sastry and Wellington S. Martins. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing and Discrete Applied Mathematics.
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.