Hovig Tchalian
- Sociology and Political Science
- Strategy and Management top 10%
- Organizational Behavior and Human Resource Management top 10%
- General Social Sciences top 0.5%
- Marketing top 10%
- Co-authors
- Vern GlaserRichard Franciscus Johannes HaansMilo Shaoqing WangP. Devereaux JenningsTimothy R. HanniganSarah KaplanKeyvan Vakili
- Topics
- Natural Language Processing Techniques (2 papers)Advanced Text Analysis Techniques (1 paper)Computational and Text Analysis Methods (1 paper)
- Cited by
- General Social SciencesOrganizational Behavior and Human Resource ManagementStrategy and Management
- Journals
- Academy of Management AnnalsJournal of the Association for Information SystemsAmericas Conference on Information Systems
- Partner nations
- United StatesSaudi ArabiaNetherlands
In The Last Decade
Hovig Tchalian
3 papers receiving 383 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Sociology and Political Science 114
- Strategy and Management 94
- Organizational Behavior and Human Resource Management 66
- General Social Sciences 60
- Marketing 55
Countries citing papers authored by Hovig Tchalian
This map shows the geographic impact of Hovig Tchalian'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 Hovig Tchalian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hovig Tchalian more than expected).
Fields of papers citing papers by Hovig Tchalian
This network shows the impact of papers produced by Hovig Tchalian. 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 Hovig Tchalian. The network helps show where Hovig Tchalian may publish in the future.
Co-authorship network of co-authors of Hovig Tchalian
This figure shows the co-authorship network connecting the top 25 collaborators of Hovig Tchalian. A scholar is included among the top collaborators of Hovig Tchalian 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 Hovig Tchalian. Hovig Tchalian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Clustering Prominent Named Entities in Topic-Specific Text Corpora. | 2 |
| 2 | Topic Modeling in Management Research: Rendering New Theory from Textual Databreakdown → | 391 |
| 3 | Corpus Periodization Framework to Periodize a Temporally Ordered Text Corpus. | 1 |
About Hovig Tchalian
Hovig Tchalian is a scholar working on General Social Sciences, Organizational Behavior and Human Resource Management and Artificial Intelligence, having authored 3 papers that have together received 394 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Advanced Text Analysis Techniques (1 paper) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in General Social Sciences (60 citations), Organizational Behavior and Human Resource Management (66 citations) and Strategy and Management (94 citations). Hovig Tchalian has collaborated with scholars based in United States, Saudi Arabia and Netherlands. Frequent co-authors include Vern Glaser, Richard Franciscus Johannes Haans, Milo Shaoqing Wang, P. Devereaux Jennings, Timothy R. Hannigan, Sarah Kaplan and Keyvan Vakili. Their work appears in journals such as Academy of Management Annals, Journal of the Association for Information Systems and Americas Conference on Information Systems.
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.