Vatche Isahagian
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Management Information Systems
- Industrial and Manufacturing Engineering
- Co-authors
- Vinod MuthusamyNalini VenkatasubramanianYara RizkNabeel AkhtarIbrahim MattaAli RazaEvelyn DuesterwaldParijat Dube
- Topics
- Business Process Modeling and Analysis (4 papers)Topic Modeling (4 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- IEEE Transactions on Network and Service ManagementeScholarship (California Digital Library)Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
- Partner nations
- United StatesIndiaChina
In The Last Decade
Vatche Isahagian
11 papers receiving 42 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 23
- Computer Networks and Communications 16
- Information Systems 16
- Management Information Systems 9
- Industrial and Manufacturing Engineering 4
Countries citing papers authored by Vatche Isahagian
This map shows the geographic impact of Vatche Isahagian'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 Vatche Isahagian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vatche Isahagian more than expected).
Fields of papers citing papers by Vatche Isahagian
This network shows the impact of papers produced by Vatche Isahagian. 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 Vatche Isahagian. The network helps show where Vatche Isahagian may publish in the future.
Co-authorship network of co-authors of Vatche Isahagian
This figure shows the co-authorship network connecting the top 25 collaborators of Vatche Isahagian. A scholar is included among the top collaborators of Vatche Isahagian 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 Vatche Isahagian. Vatche Isahagian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | Bringing BPM to the Workers: Towards Worker-Centric Management of Business Processes. | 1 |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 1 |
About Vatche Isahagian
Vatche Isahagian is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 16 papers that have together received 48 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (4 papers), Topic Modeling (4 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Management Information Systems (9 citations), Artificial Intelligence (23 citations) and Information Systems (16 citations). Vatche Isahagian has collaborated with scholars based in United States, India and China. Frequent co-authors include Vinod Muthusamy, Nalini Venkatasubramanian, Yara Rizk, Nabeel Akhtar, Ibrahim Matta, Ali Raza, Evelyn Duesterwald, Parijat Dube, Ziming Huang and Abdul Quamar. Their work appears in journals such as IEEE Transactions on Network and Service Management, eScholarship (California Digital Library) and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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.