Mikhail Roshchin
- Artificial Intelligence top 10%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Industrial and Manufacturing Engineering top 10%
- Computer Networks and Communications
- Co-authors
- Evgeny KharlamovSteffen LamparterThomas A. RunklerSebastian BrandtGuohui XiaoArild WaalerYannis KotidisChristian Neuenstadt
- Topics
- Semantic Web and Ontologies (15 papers)Service-Oriented Architecture and Web Services (9 papers)Data Quality and Management (5 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsArtificial Intelligence
- Partner nations
- GermanyUnited KingdomItaly
In The Last Decade
Mikhail Roshchin
22 papers receiving 158 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 105
- Information Systems 49
- Management Science and Operations Research 39
- Industrial and Manufacturing Engineering 36
- Computer Networks and Communications 32
Countries citing papers authored by Mikhail Roshchin
This map shows the geographic impact of Mikhail Roshchin'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 Mikhail Roshchin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Roshchin more than expected).
Fields of papers citing papers by Mikhail Roshchin
This network shows the impact of papers produced by Mikhail Roshchin. 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 Mikhail Roshchin. The network helps show where Mikhail Roshchin may publish in the future.
Co-authorship network of co-authors of Mikhail Roshchin
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Roshchin. A scholar is included among the top collaborators of Mikhail Roshchin 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 Mikhail Roshchin. Mikhail Roshchin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | Semantic Rule-Based Equipment Diagnostic. | 1 |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | SOMM: Industry Oriented Ontology Management Tool | 3 |
| 10 | Semantic framework for industrial analytics and diagnostics | 2 |
| 11 | 3 | |
| 12 | Semantic Access to Siemens Streaming Data: the OPTIQUE Way | 6 |
| 13 | 1 | |
| 14 | Ontology-Based Translation of Natural Language Queries to SPARQL | 17 |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | 5 |
About Mikhail Roshchin
Mikhail Roshchin is a scholar working on Medical Laboratory Technology, Artificial Intelligence and Management Information Systems, having authored 24 papers that have together received 171 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Service-Oriented Architecture and Web Services (9 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (36 citations), Management Information Systems (31 citations) and Artificial Intelligence (105 citations). Mikhail Roshchin has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Evgeny Kharlamov, Steffen Lamparter, Thomas A. Runkler, Sebastian Brandt, Guohui Xiao, Arild Waaler, Yannis Kotidis, Christian Neuenstadt, Yannis Ioannidis and Ahmet Soylu. Their work appears in journals such as Journal of Web Semantics, International Journal of Information and Decision Sciences and View.
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.