Hovig Tchalian

560 total citations · 1 hit paper
3 papers, 394 citations indexed

About

Hovig Tchalian is a scholar working on Artificial Intelligence, Sociology and Political Science and General Social Sciences. According to data from OpenAlex, Hovig Tchalian has authored 3 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in General Social Sciences. Recurrent topics in Hovig Tchalian's work include Natural Language Processing Techniques (2 papers), Advanced Text Analysis Techniques (1 paper) and Computational and Text Analysis Methods (1 paper). Hovig Tchalian is often cited by papers focused on Natural Language Processing Techniques (2 papers), Advanced Text Analysis Techniques (1 paper) and Computational and Text Analysis Methods (1 paper). Hovig Tchalian collaborates with scholars based in United States, Saudi Arabia and Netherlands. Hovig Tchalian's co-authors include Vern Glaser, Richard Franciscus Johannes Haans, Milo Shaoqing Wang, P. Devereaux Jennings, Timothy R. Hannigan, Sarah Kaplan and Keyvan Vakili and has published in prestigious journals such as Academy of Management Annals, Journal of the Association for Information Systems and Americas Conference on Information Systems.

In The Last Decade

Hovig Tchalian

3 papers receiving 383 citations

Hit Papers

Topic Modeling in Management Research: Rendering New Theo... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hovig Tchalian United States 2 114 94 66 60 55 3 394
Demola Obembe United Kingdom 11 95 0.8× 142 1.5× 56 0.8× 12 0.2× 29 0.5× 41 418
Amol M. Joshi United States 10 61 0.5× 176 1.9× 39 0.6× 31 0.5× 33 0.6× 25 491
Vivianna Fang He Switzerland 12 79 0.7× 108 1.1× 96 1.5× 7 0.1× 19 0.3× 23 447
Majdi Anwar Quttainah Kuwait 12 154 1.4× 135 1.4× 89 1.3× 7 0.1× 71 1.3× 59 647
Anoop Menon United States 9 59 0.5× 223 2.4× 51 0.8× 5 0.1× 30 0.5× 16 407
Olga Rivera Spain 7 62 0.5× 153 1.6× 59 0.9× 4 0.1× 37 0.7× 35 320
Tatiana Khvatova Russia 12 102 0.9× 80 0.9× 56 0.8× 3 0.1× 104 1.9× 34 424
Federico Iannacci United Kingdom 10 140 1.2× 56 0.6× 35 0.5× 4 0.1× 22 0.4× 21 422
Markus Gmür Switzerland 9 104 0.9× 149 1.6× 78 1.2× 4 0.1× 36 0.7× 39 454
Kevin Kelly United States 4 71 0.6× 97 1.0× 15 0.2× 13 0.2× 21 0.4× 6 326

Countries citing papers authored by Hovig Tchalian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

3 of 3 papers shown
1.
Tchalian, Hovig, et al.. (2019). Clustering Prominent Named Entities in Topic-Specific Text Corpora.. Journal of the Association for Information Systems. 2 indexed citations
2.
Hannigan, Timothy R., Richard Franciscus Johannes Haans, Keyvan Vakili, et al.. (2019). Topic Modeling in Management Research: Rendering New Theory from Textual Data. Academy of Management Annals. 13(2). 586–632. 391 indexed citations breakdown →
3.
Tchalian, Hovig, et al.. (2016). Corpus Periodization Framework to Periodize a Temporally Ordered Text Corpus.. Americas Conference on Information Systems. 1 indexed citations

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.

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