Juan Carlos Guzmán

2.1k total citations
37 papers, 542 citations indexed

About

Juan Carlos Guzmán is a scholar working on Artificial Intelligence, General Health Professions and Astronomy and Astrophysics. According to data from OpenAlex, Juan Carlos Guzmán has authored 37 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in General Health Professions and 4 papers in Astronomy and Astrophysics. Recurrent topics in Juan Carlos Guzmán's work include Resilience and Mental Health (3 papers), Radio Astronomy Observations and Technology (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Juan Carlos Guzmán is often cited by papers focused on Resilience and Mental Health (3 papers), Radio Astronomy Observations and Technology (3 papers) and Parallel Computing and Optimization Techniques (3 papers). Juan Carlos Guzmán collaborates with scholars based in United States, Mexico and Germany. Juan Carlos Guzmán's co-authors include Leslie Jocelyn, Lisette Partelow, Trevor Williams, Patrick Gonzales, David Kastberg, Erin Pahlke, German Prado-Arechiga, Patricia Melín, Charles F. Westoff and Thomas J. Espenshade and has published in prestigious journals such as SHILAP Revista de lepidopterología, World Development and Journal of Hypertension.

In The Last Decade

Juan Carlos Guzmán

34 papers receiving 445 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juan Carlos Guzmán United States 11 179 84 59 46 46 37 542
G. Gage Kingsbury United States 11 224 1.3× 55 0.7× 139 2.4× 112 2.4× 85 1.8× 30 879
Giancarlo Ragozini Italy 15 69 0.4× 143 1.7× 58 1.0× 94 2.0× 33 0.7× 50 551
Holger Brandt Germany 15 132 0.7× 64 0.8× 52 0.9× 44 1.0× 114 2.5× 32 619
Stephen Armstrong United States 11 75 0.4× 25 0.3× 40 0.7× 74 1.6× 59 1.3× 47 401
Michael L. Nering United States 12 115 0.6× 74 0.9× 68 1.2× 99 2.2× 138 3.0× 18 901
Mary Pommerich United States 10 177 1.0× 23 0.3× 17 0.3× 61 1.3× 84 1.8× 30 537
Egidio Robusto Italy 18 104 0.6× 117 1.4× 294 5.0× 75 1.6× 40 0.9× 67 822
D.S.G. Pollock United Kingdom 13 68 0.4× 57 0.7× 31 0.5× 13 0.3× 63 1.4× 46 727
Johan Deprez Belgium 11 366 2.0× 22 0.3× 17 0.3× 134 2.9× 28 0.6× 48 635
Theodore Micceri United States 6 79 0.4× 77 0.9× 92 1.6× 54 1.2× 612 13.3× 21 1.2k

Countries citing papers authored by Juan Carlos Guzmán

Since Specialization
Citations

This map shows the geographic impact of Juan Carlos Guzmán'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 Juan Carlos Guzmán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Carlos Guzmán more than expected).

Fields of papers citing papers by Juan Carlos Guzmán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Carlos Guzmán. 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 Juan Carlos Guzmán. The network helps show where Juan Carlos Guzmán may publish in the future.

Co-authorship network of co-authors of Juan Carlos Guzmán

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Carlos Guzmán. A scholar is included among the top collaborators of Juan Carlos Guzmán 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 Juan Carlos Guzmán. Juan Carlos Guzmán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miller‐Graff, Laura E., et al.. (2023). Psychometric Properties of the CES-D, PCL-5, and DERS in a Honduran Adult Sample. SHILAP Revista de lepidopterología. 4(1). 300–309. 3 indexed citations
2.
Bluth, Martin H., et al.. (2023). Stability of Thyroid Function Test Analytes Whose Serum Levels Are Determined by Immunoassay. Medical Research Archives. 11(2).
3.
Elliot, Andrew J., et al.. (2022). Early literacy skill development and motivation in the low-income context of Haiti. International Journal of Educational Research. 113. 101972–101972. 3 indexed citations
4.
Guzmán, Juan Carlos, et al.. (2020). Improved cookstoves as a pathway between food preparation and reduced domestic violence in Uganda. World Development Perspectives. 18. 100202–100202. 12 indexed citations
5.
Guzmán, Juan Carlos, et al.. (2019). Optimal Genetic Design of Type-1 and Interval Type-2 Fuzzy Systems for Blood Pressure Level Classification. Axioms. 8(1). 8–8. 33 indexed citations
6.
Guzmán, Juan Carlos, M. T. Whiting, D. A. Mitchell, et al.. (2019). ASKAPsoft: ASKAP science data processor software. Astrophysics Source Code Library. 9 indexed citations
7.
Melín, Patricia, et al.. (2019). HYPERTENSION DIAGNOSIS WITH A SOFT COMPUTING MODEL USING A GRAPHICAL USER INTERFACE. Journal of Hypertension. 37. e233–e233. 2 indexed citations
8.
Guzmán, Juan Carlos, et al.. (2018). Optimal Design of Interval Type-2 Fuzzy Heart Rate Level Classification Systems Using the Bird Swarm Algorithm. Algorithms. 11(12). 206–206. 23 indexed citations
9.
Wowak, Kaitlin D., et al.. (2016). A Tutorial on Empirical ICT4D Research in Developing Countries: Processes, Challenges, and Lessons. Journal of the Association for Information Systems. 38. 353–374. 2 indexed citations
10.
Guzmán, Juan Carlos, Jessica M. Chapman, M. Marquarding, & M. T. Whiting. (2016). Status report of the end-to-end ASKAP software system: towards early science operations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9913. 991311–991311. 3 indexed citations
11.
Wowak, Kaitlin D., et al.. (2016). A Tutorial on Empirical ICT4D Research in Developing Countries: Processes, Challenges, and Lessons. Communications of the Association for Information Systems. 38. 353–374. 1 indexed citations
12.
Expósito, Víctor, et al.. (2013). Usefulness of the Calgary Syncope Symptom Score for the diagnosis of vasovagal syncope in the elderly. EP Europace. 15(8). 1210–1214. 18 indexed citations
13.
Guzmán, Juan Carlos & B. Humphreys. (2010). The Australian SKA Pathfinder (ASKAP) software architecture. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7740. 77401J–77401J. 7 indexed citations
14.
Ohshimo, Shinichiro, Francesco Bonella, Ai Cui, et al.. (2009). Serum KL-6 as a novel disease marker in adolescent and adult cystic fibrosis.. PubMed. 26(1). 47–53. 16 indexed citations
15.
Guzmán, Juan Carlos, et al.. (2007). Hands-on operating systems made easy. Journal of computing sciences in colleges. 22(4). 145–151. 3 indexed citations
16.
Gonzales, Patrick, Juan Carlos Guzmán, Lisette Partelow, et al.. (2004). Highlights from the Trends in International Mathematics and Science Study (TIMSS), 2003. NCES 2005-005.. 236 indexed citations
17.
Pepe, F., G. Rupprecht, Gerardo Ávila, et al.. (2003). Performance verification of HARPS: first laboratory results. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4841. 1045–1045. 10 indexed citations
18.
Espenshade, Thomas J., Juan Carlos Guzmán, & Charles F. Westoff. (2003). The Surprising Global Variation in Replacement Fertility. Population Research and Policy Review. 22(5-6). 575–583. 47 indexed citations
19.
Costabel, Ulrich & Juan Carlos Guzmán. (2003). Lungenfibrosen. Der Internist. 44(0). S35–S43. 3 indexed citations
20.
Costabel, Ulrich, Helmut Teschler, Juan Carlos Guzmán, & Claus Kroegel. (1990). [Bronchoalveolar lavage: interim evaluation following 10 years clinical use].. PubMed. 85(6). 376–87. 3 indexed citations

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.

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