Mark Montague
- Information Systems top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Javed AslamJaved A. AslamMatthew T. DickersonMax A. MejuJulian KeilJames TibenderanaSylvia MeekPrudence Hamade
- Topics
- Information Retrieval and Search Behavior (6 papers)Data Management and Algorithms (4 papers)Optimization and Search Problems (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Mark Montague
15 papers receiving 805 citations
Peers
Comparison fields: 5 of 73
- Information Systems 455
- Artificial Intelligence 425
- Signal Processing 252
- Computer Vision and Pattern Recognition 197
- Computer Networks and Communications 123
Countries citing papers authored by Mark Montague
This map shows the geographic impact of Mark Montague'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 Mark Montague with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Montague more than expected).
Fields of papers citing papers by Mark Montague
This network shows the impact of papers produced by Mark Montague. 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 Mark Montague. The network helps show where Mark Montague may publish in the future.
Co-authorship network of co-authors of Mark Montague
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Montague. A scholar is included among the top collaborators of Mark Montague 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 Mark Montague. Mark Montague is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 2 | |
| 3 | Metasearch: data fusion for document retrieval | 12 |
| 4 | 189 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 116 | |
| 8 | 10 | |
| 9 | 433 | |
| 10 | Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval Systems | 11 |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 9 |
About Mark Montague
Mark Montague is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Information Systems, having authored 15 papers that have together received 883 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (6 papers), Data Management and Algorithms (4 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Signal Processing (252 citations), Information Systems (455 citations) and Artificial Intelligence (425 citations). Mark Montague has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Javed Aslam, Javed A. Aslam, Matthew T. Dickerson, Max A. Meju, Julian Keil, James Tibenderana, Sylvia Meek, Prudence Hamade, Helen Counihan and Daniel Kyabayinze. Their work appears in journals such as Computers & Geosciences, Malaria Journal and Discrete & Computational Geometry.
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.