Alla Kammerdiner
- Artificial Intelligence
- Computer Networks and Communications
- Computational Theory and Mathematics
- Computer Vision and Pattern Recognition
- Economics and Econometrics
- Co-authors
- Eduardo L. PasiliaoPavlo KrokhmalPãnos M. PardalosА. Л. СеменовVladimir BoginskiOnur ŞerefO. Erhun KundakciogluEduardo Pasiliao
- Topics
- Graph Theory and Algorithms (2 papers)Balance, Gait, and Falls Prevention (2 papers)Metaheuristic Optimization Algorithms Research (2 papers)
- Cited by
- Emergency Medical ServicesEmergency MedicinePhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- European Journal of Operational ResearchAnnals of Operations ResearchJournal of Global Optimization
- Partner nations
- United StatesUkraine
In The Last Decade
Alla Kammerdiner
14 papers receiving 39 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 13
- Computer Networks and Communications 8
- Computational Theory and Mathematics 7
- Computer Vision and Pattern Recognition 6
- Economics and Econometrics 6
Countries citing papers authored by Alla Kammerdiner
This map shows the geographic impact of Alla Kammerdiner'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 Alla Kammerdiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alla Kammerdiner more than expected).
Fields of papers citing papers by Alla Kammerdiner
This network shows the impact of papers produced by Alla Kammerdiner. 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 Alla Kammerdiner. The network helps show where Alla Kammerdiner may publish in the future.
Co-authorship network of co-authors of Alla Kammerdiner
This figure shows the co-authorship network connecting the top 25 collaborators of Alla Kammerdiner. A scholar is included among the top collaborators of Alla Kammerdiner 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 Alla Kammerdiner. Alla Kammerdiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | Statistical Methods in Data Mining of Brain Dynamics | 1 |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 |
About Alla Kammerdiner
Alla Kammerdiner is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Management Science and Operations Research and Modeling and Simulation, having authored 15 papers that have together received 41 indexed citations. Recurring topics across this work include Graph Theory and Algorithms (2 papers), Balance, Gait, and Falls Prevention (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Emergency Medical Services (5 citations), Emergency Medicine (5 citations) and Physical Therapy, Sports Therapy and Rehabilitation (2 citations). Alla Kammerdiner has collaborated with scholars based in United States and Ukraine. Frequent co-authors include Eduardo L. Pasiliao, Pavlo Krokhmal, Pãnos M. Pardalos, А. Л. Семенов, Vladimir Boginski, Onur Şeref, O. Erhun Kundakcioglu, Eduardo Pasiliao, Alex Sprintson and Alexander Veremyev. Their work appears in journals such as European Journal of Operational Research, Annals of Operations Research and Journal of Global Optimization.
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.