John R. Talburt
About
In The Last Decade
John R. Talburt
86 papers receiving 328 citations
Peers
Comparison fields: 5 of 74
- Information Systems 166
- Management Science and Operations Research 159
- Artificial Intelligence 145
- Management Information Systems 57
- Computer Networks and Communications 40
Countries citing papers authored by John R. Talburt
This map shows the geographic impact of John R. Talburt'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 John R. Talburt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Talburt more than expected).
Fields of papers citing papers by John R. Talburt
This network shows the impact of papers produced by John R. Talburt. 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 John R. Talburt. The network helps show where John R. Talburt may publish in the future.
Co-authorship network of co-authors of John R. Talburt
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Talburt. A scholar is included among the top collaborators of John R. Talburt 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 John R. Talburt. John R. Talburt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | ISO 8000-81 Data Quality Management Standard, TDQM Compliance, IQ Principles. | 1 |
| 4 | Comparing the Effectiveness of Deterministic Matching with Probabilistic Matching for Entity Resolution of Student Enrollment Records. | 1 |
| 5 | A false positive review indicator for entity resolution systems using Boolean rules. | 1 |
| 6 | Entity identity information management (EIIM). | 11 |
| 7 | Design consideration for identity resolution in batch and interactive architectures. | 1 |
| 8 | Subjective image quality prediction based on neural network. | 3 |
| 9 | Staging a realistic entity resolution challenge for students | 3 |
| 10 | Methods to Measure Importance of Data Attributes to Consumers of Information Products | 1 |
| 11 | Towards a data-intensive approach to named entity recognition. | 0 |
| 12 | Hive: crowdsourcing education data | 2 |
| 13 | SOG: A Synthetic Occupancy Generator to Support Entity Resolution Instruction and Research. | 16 |
| 14 | 4 | |
| 15 | CoDoSA: A Lightweight, XML-Based Framework for Integrating Unstructured Textual Information | 4 |
| 16 | A Formal Framework for Defining Entity-Based Data Source Integration | 4 |
| 17 | Where are we now? Where are we going? | 5 |
| 18 | A method for entity identification in open source documents with partially redacted attributes | 4 |
| 19 | An Information Theoretic Approach to Information Quality Metric. | 1 |
| 20 | The Application of Commercial Data Integration Technologies to Improve the Quality of Anonymous Entity Resolution in the Public Sector. | 1 |
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.