David Menestrina
About
In The Last Decade
David Menestrina
10 papers receiving 691 citations
Peers
Comparison fields: 5 of 39
- Management Science and Operations Research 535
- Artificial Intelligence 412
- Information Systems 387
- Computer Networks and Communications 322
- Signal Processing 116
Countries citing papers authored by David Menestrina
This map shows the geographic impact of David Menestrina'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 David Menestrina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Menestrina more than expected).
Fields of papers citing papers by David Menestrina
This network shows the impact of papers produced by David Menestrina. 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 David Menestrina. The network helps show where David Menestrina may publish in the future.
Co-authorship network of co-authors of David Menestrina
This figure shows the co-authorship network connecting the top 25 collaborators of David Menestrina. A scholar is included among the top collaborators of David Menestrina 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 David Menestrina. David Menestrina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 156 | |
| 2 | 63 | |
| 3 | 45 | |
| 4 | 151 | |
| 5 | Evaluating Entity Resolution Results (Extended version) | 3 |
| 6 | 264 | |
| 7 | 25 | |
| 8 | Generic Entity Resolution in the SERF Project | 20 |
| 9 | P-Swoosh: Parallel Algorithm for Generic Entity Resolution | 12 |
| 10 | Bufoosh: Buffering Algorithms for Generic Entity Resolution | 0 |
| 11 | Generic Entity Resolution with Data Confidences | 23 |
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.