Jorge Finke
- Computer Networks and Communications top 10%
- Infectious Diseases
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Global and Planetary Change
- Co-authors
- Kevin M. PassinoAndrew G. SparksCamilo RochaYong‐Yeol AhnJonas SchmidtSandra EßbauerFranz J. ConrathsW Hautmann
- Topics
- Complex Network Analysis Techniques (19 papers)Opinion Dynamics and Social Influence (19 papers)Game Theory and Applications (6 papers)
- Partner nations
- ColombiaUnited StatesFrance
In The Last Decade
Jorge Finke
42 papers receiving 274 citations
Peers
Comparison fields: 5 of 76
- Computer Networks and Communications 93
- Infectious Diseases 51
- Artificial Intelligence 46
- Statistical and Nonlinear Physics 41
- Global and Planetary Change 32
Countries citing papers authored by Jorge Finke
This map shows the geographic impact of Jorge Finke'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 Jorge Finke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Finke more than expected).
Fields of papers citing papers by Jorge Finke
This network shows the impact of papers produced by Jorge Finke. 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 Jorge Finke. The network helps show where Jorge Finke may publish in the future.
Co-authorship network of co-authors of Jorge Finke
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Finke. A scholar is included among the top collaborators of Jorge Finke 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 Jorge Finke. Jorge Finke 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | The Case for Supervised Injection Sites in the United States. | 4 |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | Nicotine Replacement Therapy for Smoking Cessation | 1 |
| 13 | 14 | |
| 14 | A Legal Perspective on the Use of Models in the Fight Against Corruption | 2 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 10 | |
| 19 | 59 | |
| 20 | 6 |
About Jorge Finke
Jorge Finke is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Networks and Communications, having authored 45 papers that have together received 279 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (19 papers) and Game Theory and Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (93 citations), Statistical and Nonlinear Physics (41 citations) and Infectious Diseases (51 citations). Jorge Finke has collaborated with scholars based in Colombia, United States and France. Frequent co-authors include Kevin M. Passino, Andrew G. Sparks, Camilo Rocha, Yong‐Yeol Ahn, Jonas Schmidt, Sandra Eßbauer, Franz J. Conraths, W Hautmann, Roman Wölfel and R Friedrich. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.
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.