Pedro D. Manrique
- Sociology and Political Science top 5%
- Health top 2%
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Communication top 5%
- Co-authors
- Neil F. JohnsonMinzhang ZhengNicolás VelásquezStefan WuchtyRhys LeahyNicholas J. RestrepoSara El OudYonatan Lupu
- Topics
- Complex Network Analysis Techniques (15 papers)Opinion Dynamics and Social Influence (13 papers)Terrorism, Counterterrorism, and Political Violence (6 papers)
- Journals
- NatureSciencePhysical Review Letters
- Partner nations
- United StatesHong KongChina
In The Last Decade
Pedro D. Manrique
33 papers receiving 768 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Sociology and Political Science 481
- Health 284
- Artificial Intelligence 158
- Statistical and Nonlinear Physics 153
- Communication 114
Countries citing papers authored by Pedro D. Manrique
This map shows the geographic impact of Pedro D. Manrique'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 Pedro D. Manrique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro D. Manrique more than expected).
Fields of papers citing papers by Pedro D. Manrique
This network shows the impact of papers produced by Pedro D. Manrique. 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 Pedro D. Manrique. The network helps show where Pedro D. Manrique may publish in the future.
Co-authorship network of co-authors of Pedro D. Manrique
This figure shows the co-authorship network connecting the top 25 collaborators of Pedro D. Manrique. A scholar is included among the top collaborators of Pedro D. Manrique 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 Pedro D. Manrique. Pedro D. Manrique is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | 7 | |
| 17 | 24 | |
| 18 | 4 | |
| 19 | Teaching captcha in a PHP programming course | 2 |
| 20 | Is Java relevant in the game industry | 1 |
About Pedro D. Manrique
Pedro D. Manrique is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Molecular Medicine, having authored 36 papers that have together received 810 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Opinion Dynamics and Social Influence (13 papers) and Terrorism, Counterterrorism, and Political Violence (6 papers). The work is most often cited by research in Health (284 citations), Communication (114 citations) and Modeling and Simulation (69 citations). Pedro D. Manrique has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Neil F. Johnson, Minzhang Zheng, Nicolás Velásquez, Stefan Wuchty, Rhys Leahy, Nicholas J. Restrepo, Sara El Oud, Yonatan Lupu, Nicholas Gabriel and Elvira María Restrepo. Their work appears in journals such as Nature, Science and Physical Review Letters.
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.