João Soares
- Emergency Medical Services top 0.5%
- Numerical Analysis top 2%
- Management Information Systems top 2%
- Computational Theory and Mathematics top 2%
- Emergency Medicine top 2%
- Co-authors
- Linda V. GreenFrancisco FacchineiJames GiglioRobert A. GreenPeter KolesarJoaquím J. JúdiceMiguel AlmeidaD. X. Viegas
- Topics
- Advanced Optimization Algorithms Research (7 papers)Advanced Queuing Theory Analysis (4 papers)Optimization and Variational Analysis (3 papers)
- Partner nations
- PortugalUnited StatesItaly
In The Last Decade
João Soares
16 papers receiving 971 citations
Peers
Comparison fields: 5 of 86
- Emergency Medical Services 348
- Numerical Analysis 319
- Management Information Systems 307
- Computational Theory and Mathematics 263
- Emergency Medicine 233
Countries citing papers authored by João Soares
This map shows the geographic impact of João Soares'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 João Soares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Soares more than expected).
Fields of papers citing papers by João Soares
This network shows the impact of papers produced by João Soares. 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 João Soares. The network helps show where João Soares may publish in the future.
Co-authorship network of co-authors of João Soares
This figure shows the co-authorship network connecting the top 25 collaborators of João Soares. A scholar is included among the top collaborators of João Soares 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 João Soares. João Soares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 6 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 107 | |
| 6 | 241 | |
| 7 | Aplicação do algoritmo volumétrico à resolução aproximada e exacta do problema do caixeiro viajante assimétrico | 1 |
| 8 | Um melhor limite inferior para o problema do caixeiro viajante assimétrico baseado no problema da afectação | 0 |
| 9 | Solving the Traveling Repairman problem with differentiated waiting times through Lagrangian relaxation | 0 |
| 10 | Computing time dependent waiting time probabilities in nonstationary markovian queueing systems | 2 |
| 11 | 52 | |
| 12 | 160 | |
| 13 | 108 | |
| 14 | 12 | |
| 15 | 68 | |
| 16 | 199 | |
| 17 | 12 | |
| 18 | 1 |
About João Soares
João Soares is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Management Information Systems, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (7 papers), Advanced Queuing Theory Analysis (4 papers) and Optimization and Variational Analysis (3 papers). The work is most often cited by research in Numerical Analysis (319 citations), Emergency Medical Services (348 citations) and Management Information Systems (307 citations). João Soares has collaborated with scholars based in Portugal, United States and Italy. Frequent co-authors include Linda V. Green, Francisco Facchinei, James Giglio, Robert A. Green, Peter Kolesar, Joaquím J. Júdice, Miguel Almeida, D. X. Viegas, Andreas Fischer and Cristina Requejo. Their work appears in journals such as Operations Research, Mathematical Programming and Production and Operations Management.
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.