Erkam Güreşen
- Management Science and Operations Research top 1%
- Electrical and Electronic Engineering
- Economics and Econometrics top 5%
- Artificial Intelligence top 10%
- Finance top 5%
- Topics
- Neural Networks and Applications (2 papers)Traffic Prediction and Management Techniques (1 paper)Time Series Analysis and Forecasting (1 paper)
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsProcedia Computer Science
- Partner nations
- TürkiyeUnited States
In The Last Decade
Erkam Güreşen
6 papers receiving 674 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Management Science and Operations Research 508
- Electrical and Electronic Engineering 245
- Economics and Econometrics 244
- Artificial Intelligence 161
- Finance 143
Countries citing papers authored by Erkam Güreşen
This map shows the geographic impact of Erkam Güreşen'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 Erkam Güreşen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erkam Güreşen more than expected).
Fields of papers citing papers by Erkam Güreşen
This network shows the impact of papers produced by Erkam Güreşen. 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 Erkam Güreşen. The network helps show where Erkam Güreşen may publish in the future.
Co-authorship network of co-authors of Erkam Güreşen
This figure shows the co-authorship network connecting the top 25 collaborators of Erkam Güreşen. A scholar is included among the top collaborators of Erkam Güreşen 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 Erkam Güreşen. Erkam Güreşen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 105 | |
| 2 | Çoklu periyotta çevreci tedarikçi seçimi için belirsizlik etmenli bir ÇÖKV yöntemi | 1 |
| 3 | Using artificial neural network models in stock market index predictionbreakdown → | 558 |
| 4 | 1 | |
| 5 | 70 | |
| 6 | Transportation mode selection for Turkish automotive industry using analytic network process | 1 |
About Erkam Güreşen
Erkam Güreşen is a scholar working on Management Science and Operations Research, Management of Technology and Innovation and General Economics, Econometrics and Finance, having authored 6 papers that have together received 736 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Traffic Prediction and Management Techniques (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Management Science and Operations Research (508 citations), Finance (143 citations) and Economics and Econometrics (244 citations). Erkam Güreşen has collaborated with scholars based in Türkiye and United States. Frequent co-authors include Gülgün Kayakutlu, Tuğrul Daim, Asil Oztekin, Serkan Gümüş and İsmail Önden. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Procedia Computer Science.
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.