Vural Aksakallı
- Artificial Intelligence top 10%
- Accounting top 5%
- Management Information Systems top 5%
- Economics and Econometrics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Milad Malekipirbazariİbrahim ArıSerdar KumAli Fuat AlkayaCarey E. PriebeDaniel HaraborAlban GrastienKarin Verspoor
- Topics
- Optimization and Search Problems (11 papers)Robotic Path Planning Algorithms (7 papers)Vehicle Routing Optimization Methods (5 papers)
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsACM Computing Surveys
- Partner nations
- TürkiyeAustraliaUnited States
In The Last Decade
Vural Aksakallı
32 papers receiving 549 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 188
- Accounting 162
- Management Information Systems 128
- Economics and Econometrics 75
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Vural Aksakallı
This map shows the geographic impact of Vural Aksakallı'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 Vural Aksakallı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vural Aksakallı more than expected).
Fields of papers citing papers by Vural Aksakallı
This network shows the impact of papers produced by Vural Aksakallı. 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 Vural Aksakallı. The network helps show where Vural Aksakallı may publish in the future.
Co-authorship network of co-authors of Vural Aksakallı
This figure shows the co-authorship network connecting the top 25 collaborators of Vural Aksakallı. A scholar is included among the top collaborators of Vural Aksakallı 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 Vural Aksakallı. Vural Aksakallı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 51 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 20 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | Disambiguation points sampling heuristic for the stochastic obstacle scene problem | 2 |
| 11 | 12 | |
| 12 | Risk assessment in social lending via random forestsbreakdown → | 268 |
| 13 | 13 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 31 | |
| 17 | 27 | |
| 18 | 14 | |
| 19 | 8 | |
| 20 | Heuristic Methods for Gang-Rip Saw Arbor Design and Scheduling | 1 |
About Vural Aksakallı
Vural Aksakallı is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Health Information Management, having authored 32 papers that have together received 575 indexed citations. Recurring topics across this work include Optimization and Search Problems (11 papers), Robotic Path Planning Algorithms (7 papers) and Vehicle Routing Optimization Methods (5 papers). The work is most often cited by research in Management Information Systems (128 citations), Accounting (162 citations) and Health Information Management (34 citations). Vural Aksakallı has collaborated with scholars based in Türkiye, Australia and United States. Frequent co-authors include Milad Malekipirbazari, İbrahim Arı, Serdar Kum, Ali Fuat Alkaya, Carey E. Priebe, Daniel Harabor, Alban Grastien, Karin Verspoor, Jeffrey Chan and Tabinda Sarwar. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and ACM Computing Surveys.
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.