Andreas C. Nearchou
- Industrial and Manufacturing Engineering top 0.5%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Paraskevi ZachariaNikos AspragathosElias K. XidiasA.G. LagodimosPhilip AzariadisIoannis GiannikosVassilis C. Moulianitis
- Topics
- Scheduling and Optimization Algorithms (26 papers)Assembly Line Balancing Optimization (18 papers)Manufacturing Process and Optimization (16 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
In The Last Decade
Andreas C. Nearchou
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Industrial and Manufacturing Engineering 808
- Control and Systems Engineering 234
- Artificial Intelligence 181
- Computer Vision and Pattern Recognition 178
- Management Science and Operations Research 79
Countries citing papers authored by Andreas C. Nearchou
This map shows the geographic impact of Andreas C. Nearchou'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 Andreas C. Nearchou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas C. Nearchou more than expected).
Fields of papers citing papers by Andreas C. Nearchou
This network shows the impact of papers produced by Andreas C. Nearchou. 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 Andreas C. Nearchou. The network helps show where Andreas C. Nearchou may publish in the future.
Co-authorship network of co-authors of Andreas C. Nearchou
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas C. Nearchou. A scholar is included among the top collaborators of Andreas C. Nearchou 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 Andreas C. Nearchou. Andreas C. Nearchou 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 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 26 | |
| 13 | 65 | |
| 14 | 59 | |
| 15 | 14 | |
| 16 | 62 | |
| 17 | 7 | |
| 18 | 53 | |
| 19 | 43 | |
| 20 | 14 |
About Andreas C. Nearchou
Andreas C. Nearchou is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (26 papers), Assembly Line Balancing Optimization (18 papers) and Manufacturing Process and Optimization (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (808 citations), Control and Systems Engineering (234 citations) and Computer Vision and Pattern Recognition (178 citations). Andreas C. Nearchou has collaborated with scholars based in Greece and Cyprus. Frequent co-authors include Paraskevi Zacharia, Nikos Aspragathos, Elias K. Xidias, A.G. Lagodimos, Philip Azariadis, Ioannis Giannikos and Vassilis C. Moulianitis. Their work appears in journals such as International Journal of Production Economics, International Journal of Production Research and Computers & Operations Research.
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.