Rimvydas Simutis
- Molecular Biology top 10%
- Control and Systems Engineering top 1%
- Biomedical Engineering top 10%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Α. LübbertMarco JenzschStefan GnothI. HavlíkM. DorsVytautas GalvanauskasDonatas LevišauskasMartin Kleinschmidt
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (49 papers)Advanced Control Systems Optimization (47 papers)Microbial Metabolic Engineering and Bioproduction (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiochemical JournalApplied Microbiology and Biotechnology
- Partner nations
- LithuaniaGermanySouth Korea
In The Last Decade
Rimvydas Simutis
98 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.2k
- Control and Systems Engineering 895
- Biomedical Engineering 290
- Artificial Intelligence 132
- Management Science and Operations Research 98
Countries citing papers authored by Rimvydas Simutis
This map shows the geographic impact of Rimvydas Simutis'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 Rimvydas Simutis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rimvydas Simutis more than expected).
Fields of papers citing papers by Rimvydas Simutis
This network shows the impact of papers produced by Rimvydas Simutis. 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 Rimvydas Simutis. The network helps show where Rimvydas Simutis may publish in the future.
Co-authorship network of co-authors of Rimvydas Simutis
This figure shows the co-authorship network connecting the top 25 collaborators of Rimvydas Simutis. A scholar is included among the top collaborators of Rimvydas Simutis 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 Rimvydas Simutis. Rimvydas Simutis 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 | 2 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | CASH DEMAND FORECASTING FOR ATM USING NEURAL NETWORKS AND SUPPORT VECTOR REGRESSION ALGORITHMS | 37 |
| 16 | A flexible neural network for ATM cash demand forecasting | 10 |
| 17 | 26 | |
| 18 | 66 | |
| 19 | 10 | |
| 20 | 11 |
About Rimvydas Simutis
Rimvydas Simutis is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Molecular Biology, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (49 papers), Advanced Control Systems Optimization (47 papers) and Microbial Metabolic Engineering and Bioproduction (30 papers). The work is most often cited by research in Control and Systems Engineering (895 citations), Molecular Biology (1.2k citations) and Analytical Chemistry (84 citations). Rimvydas Simutis has collaborated with scholars based in Lithuania, Germany and South Korea. Frequent co-authors include Α. Lübbert, Marco Jenzsch, Stefan Gnoth, I. Havlík, M. Dors, Vytautas Galvanauskas, Donatas Levišauskas, Martin Kleinschmidt, S. Feyo de Azevedo and Rui Oliveira. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Applied Microbiology and Biotechnology.
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.