Vladimer Kobayashi
- Artificial Intelligence
- Organizational Behavior and Human Resource Management top 10%
- Sociology and Political Science
- Information Systems
- Strategy and Management
- Co-authors
- Gábor KismihókStefan T. MolDeanne N. Den HartogHannah A. BerkersNeil Angelo S. AbreoLluís BelancheMoisés João ZottiKatleen Raes
- Topics
- Microplastics and Plastic Pollution (3 papers)Advanced Text Analysis Techniques (3 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Cited by
- General Social SciencesOrganizational Behavior and Human Resource ManagementManagement Information Systems
- Partner nations
- PhilippinesNetherlandsBelgium
In The Last Decade
Vladimer Kobayashi
12 papers receiving 296 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 77
- Organizational Behavior and Human Resource Management 54
- Sociology and Political Science 36
- Information Systems 34
- Strategy and Management 33
Countries citing papers authored by Vladimer Kobayashi
This map shows the geographic impact of Vladimer Kobayashi'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 Vladimer Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimer Kobayashi more than expected).
Fields of papers citing papers by Vladimer Kobayashi
This network shows the impact of papers produced by Vladimer Kobayashi. 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 Vladimer Kobayashi. The network helps show where Vladimer Kobayashi may publish in the future.
Co-authorship network of co-authors of Vladimer Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimer Kobayashi. A scholar is included among the top collaborators of Vladimer Kobayashi 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 Vladimer Kobayashi. Vladimer Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 16 | |
| 3 | 4 | |
| 4 | 59 | |
| 5 | 170 | |
| 6 | Automatic Extraction of Nursing Tasks from Online Job Vacancies | 3 |
| 7 | Discovering Learning Antecedents in Learning Analytics Literature. | 1 |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 6 | |
| 11 | Handling missing values in kernel methods with application to microbiology data | 2 |
| 12 | 4 |
About Vladimer Kobayashi
Vladimer Kobayashi is a scholar working on Computer Science Applications, Pollution and Statistics and Probability, having authored 12 papers that have together received 308 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (3 papers), Advanced Text Analysis Techniques (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in General Social Sciences (21 citations), Organizational Behavior and Human Resource Management (54 citations) and Management Information Systems (32 citations). Vladimer Kobayashi has collaborated with scholars based in Philippines, Netherlands and Belgium. Frequent co-authors include Gábor Kismihók, Stefan T. Mol, Deanne N. Den Hartog, Hannah A. Berkers, Neil Angelo S. Abreo, Lluís Belanche, Moisés João Zotti, Katleen Raes, Gerard Bryan Gonzales and Charlotte Grootaert. Their work appears in journals such as Marine Pollution Bulletin, Neurocomputing and Organizational Research Methods.
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.