Preetam Maloor
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Information Systems and Management top 10%
- Co-authors
- Marilyn WalkerAmanda StentFrank ShipmanHaowei HsiehJonathan M. MooreMichael JohnstonSteve WhittakerPatrick Ehlen
- Topics
- Speech and dialogue systems (9 papers)Semantic Web and Ontologies (6 papers)Topic Modeling (5 papers)
- Journals
- Cognitive ScienceEdinburgh Research Explorer (University of Edinburgh)International Conference on Human-Computer Interaction
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Preetam Maloor
13 papers receiving 370 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 302
- Human-Computer Interaction 92
- Computer Vision and Pattern Recognition 85
- Information Systems 65
- Information Systems and Management 45
Countries citing papers authored by Preetam Maloor
This map shows the geographic impact of Preetam Maloor'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 Preetam Maloor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preetam Maloor more than expected).
Fields of papers citing papers by Preetam Maloor
This network shows the impact of papers produced by Preetam Maloor. 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 Preetam Maloor. The network helps show where Preetam Maloor may publish in the future.
Co-authorship network of co-authors of Preetam Maloor
This figure shows the co-authorship network connecting the top 25 collaborators of Preetam Maloor. A scholar is included among the top collaborators of Preetam Maloor 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 Preetam Maloor. Preetam Maloor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | User tailored generation in the match multimodal dialogue system | 9 |
| 2 | 79 | |
| 3 | 4 | |
| 4 | Speech-Plans: Generating Evaluative Responses in Spoken Dialogue | 20 |
| 5 | 34 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | Emergent Structure in Analytic Workspaces: Design and Use of the Visual Knowledge Builder. | 11 |
| 9 | 81 | |
| 10 | 0 | |
| 11 | 146 | |
| 12 | 3 | |
| 13 | 23 | |
| 14 | 7 |
About Preetam Maloor
Preetam Maloor is a scholar working on Human-Computer Interaction, Geography, Planning and Development and Information Systems and Management, having authored 14 papers that have together received 430 indexed citations. Recurring topics across this work include Speech and dialogue systems (9 papers), Semantic Web and Ontologies (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Human-Computer Interaction (92 citations), Artificial Intelligence (302 citations) and Information Systems and Management (45 citations). Preetam Maloor has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Marilyn Walker, Amanda Stent, Frank Shipman, Haowei Hsieh, Jonathan M. Moore, Michael Johnston, Steve Whittaker, Patrick Ehlen, Johanna D. Moore and Stephen Whittaker. Their work appears in journals such as Cognitive Science, Edinburgh Research Explorer (University of Edinburgh) and International Conference on Human-Computer Interaction.
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.