Tad Gonsalves
- Industrial and Manufacturing Engineering top 2%
- Transportation top 5%
- Mechanical Engineering
- Automotive Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Antonio Fernández-CardadorAsunción P. CucalaM. DomínguezAdrián Fernández-RodríguezRamón Rodríguez PecharrománBhuvan UnhelkarJi-Yao ChenHindriyanto Dwi Purnomo
- Topics
- Scheduling and Optimization Algorithms (6 papers)Resource-Constrained Project Scheduling (5 papers)Advanced Neural Network Applications (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Intelligent Transportation Systems
In The Last Decade
Tad Gonsalves
40 papers receiving 469 citations
Peers
Comparison fields: 5 of 85
- Industrial and Manufacturing Engineering 223
- Transportation 146
- Mechanical Engineering 134
- Automotive Engineering 106
- Computer Vision and Pattern Recognition 78
Countries citing papers authored by Tad Gonsalves
This map shows the geographic impact of Tad Gonsalves'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 Tad Gonsalves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tad Gonsalves more than expected).
Fields of papers citing papers by Tad Gonsalves
This network shows the impact of papers produced by Tad Gonsalves. 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 Tad Gonsalves. The network helps show where Tad Gonsalves may publish in the future.
Co-authorship network of co-authors of Tad Gonsalves
This figure shows the co-authorship network connecting the top 25 collaborators of Tad Gonsalves. A scholar is included among the top collaborators of Tad Gonsalves 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 Tad Gonsalves. Tad Gonsalves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 55 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 107 | |
| 15 | Swarm Intelligence in the Fine-Tuning of Software Development Cost Estimation Models. | 1 |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Tad Gonsalves
Tad Gonsalves is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 486 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (6 papers), Resource-Constrained Project Scheduling (5 papers) and Advanced Neural Network Applications (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (223 citations), Transportation (146 citations) and Automotive Engineering (106 citations). Tad Gonsalves has collaborated with scholars based in Japan, Spain and Bhutan. Frequent co-authors include Antonio Fernández-Cardador, Asunción P. Cucala, M. Domínguez, Adrián Fernández-Rodríguez, Ramón Rodríguez Pecharromán, Bhuvan Unhelkar, Ji-Yao Chen, Hindriyanto Dwi Purnomo, Vijay Katkar and Atsushi Ito. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.
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.