Gregory B. Newby
About
In The Last Decade
Gregory B. Newby
44 papers receiving 398 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 109
- Information Systems 103
- Artificial Intelligence 88
- Human-Computer Interaction 86
- Computer Networks and Communications 58
Countries citing papers authored by Gregory B. Newby
This map shows the geographic impact of Gregory B. Newby'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 Gregory B. Newby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory B. Newby more than expected).
Fields of papers citing papers by Gregory B. Newby
This network shows the impact of papers produced by Gregory B. Newby. 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 Gregory B. Newby. The network helps show where Gregory B. Newby may publish in the future.
Co-authorship network of co-authors of Gregory B. Newby
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory B. Newby. A scholar is included among the top collaborators of Gregory B. Newby 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 Gregory B. Newby. Gregory B. Newby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Performance analysis and tuning for clusters with ccNUMA nodes for scientific coputing - a case study. | 2 |
| 2 | On the Ranking of Text Documents from Large Corpuses. | 2 |
| 3 | 14 | |
| 4 | Distributed Multisearch and Resource Selection for the TREC Million Query Track. | 2 |
| 5 | Performance Evaluation of Emerging High Performance Computing Technologies using WRF | 1 |
| 6 | Collection Selection Based on Historical Performance for Efficient Processing. | 1 |
| 7 | 13 | |
| 8 | Partitioning the Gov2 Corpus by Internet Domain Name: A Result-set Merging Experiment | 4 |
| 9 | Logistic Regression Merging of Amberfish and Lucene Multisearch Results | 3 |
| 10 | Progress in General-Purpose IR Software. | 0 |
| 11 | The necessity for information space mapping for information retrieval on the semantic web. | 1 |
| 12 | Information Space Based on HTML Structure. | 4 |
| 13 | An Information Access Model with a Unified Approach to Data Type, Retrieval Mechanism and Information Need. | 1 |
| 14 | Information Space Gets Normal. | 3 |
| 15 | Context-Based Statistical Sub-Spaces. | 4 |
| 16 | Metric Multidimensional Information Space | 7 |
| 17 | Towards navigation for information retrieval | 3 |
| 18 | Virtual Reality: Tomorrow's Information System, or Just Another Pretty Interface?. | 3 |
| 19 | Toward a Reassessment of Individual Differences for Information Systems: The Power of User-Based Situational Predictors. | 8 |
| 20 | Navigation: A Fundamental Concept for Information Systems with Implications for Information Retrieval. | 2 |
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.