Alvaro Monge
- Management Science and Operations Research top 1%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Charles ElkanW. Nick StreetFilippo MenczerBeth QuinnBeth SimonLecia BarkerTzu-Yi ChenMarkus Jakobsson
- Topics
- Teaching and Learning Programming (7 papers)Software Engineering Research (3 papers)Advanced Database Systems and Queries (3 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Alvaro Monge
19 papers receiving 618 citations
Peers
Comparison fields: 5 of 67
- Management Science and Operations Research 427
- Artificial Intelligence 382
- Information Systems 348
- Computer Networks and Communications 169
- Signal Processing 111
Countries citing papers authored by Alvaro Monge
This map shows the geographic impact of Alvaro Monge'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 Alvaro Monge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alvaro Monge more than expected).
Fields of papers citing papers by Alvaro Monge
This network shows the impact of papers produced by Alvaro Monge. 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 Alvaro Monge. The network helps show where Alvaro Monge may publish in the future.
Co-authorship network of co-authors of Alvaro Monge
This figure shows the co-authorship network connecting the top 25 collaborators of Alvaro Monge. A scholar is included among the top collaborators of Alvaro Monge 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 Alvaro Monge. Alvaro Monge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | The WEBFIND tool for finding scientific papers over the worldwide web | 1 |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 32 | |
| 13 | 20 | |
| 14 | 46 | |
| 15 | An Adaptive and Efficient Algorithm for Detecting Approximately Duplicate Database Records | 4 |
| 16 | Meta-Pattern Extraction: Mining Cycles | 1 |
| 17 | An Efficient Domain-Independent Algorithm for Detecting Approximately Duplicate Database Records. | 223 |
| 18 | The field matching problem: Algorithms and applications | 297 |
| 19 | Integrating External Information Sources to Guide Worldwide Web Information Retrieval | 3 |
| 20 | 1 |
About Alvaro Monge
Alvaro Monge is a scholar working on Computer Science Applications, Human Factors and Ergonomics and Information Systems, having authored 23 papers that have together received 722 indexed citations. Recurring topics across this work include Teaching and Learning Programming (7 papers), Software Engineering Research (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Management Science and Operations Research (427 citations), Information Systems (348 citations) and Artificial Intelligence (382 citations). Alvaro Monge has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Charles Elkan, W. Nick Street, Filippo Menczer, Beth Quinn, Beth Simon, Lecia Barker, Tzu-Yi Chen, Markus Jakobsson, Dean Sanders and Tammy VanDeGrift. Their work appears in journals such as Computers & Geosciences, IEEE Intelligent Systems and Procedia Manufacturing.
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.