Patricia Nava

54 total papers · 560 total citations
32 papers, 366 citations indexed

About

Patricia Nava is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Patricia Nava has authored 32 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Patricia Nava's work include Fuzzy Logic and Control Systems (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers) and Engineering Education and Pedagogy (5 papers). Patricia Nava is often cited by papers focused on Fuzzy Logic and Control Systems (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers) and Engineering Education and Pedagogy (5 papers). Patricia Nava collaborates with scholars based in United States, Iran and Mexico. Patricia Nava's co-authors include Bill Diong, H. Nazeran, Michaël Goldman, Edson Estrada, Khosrow Behbehani, John R. Burk, Carlos Ramos, Julia M. Taylor, Juan‐Carlos Cano and Maura Borrego and has published in prestigious journals such as BioMedical Engineering OnLine, PubMed and International Conference on Machine Learning.

In The Last Decade

Patricia Nava

29 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Patricia Nava	132	86	71	67	56	32	366
Mohamed Fezari	46 0.3×	56 0.7×	59 0.8×	26 0.4×	111 2.0×	48	347
Mehmet Bilal Er	52 0.4×	42 0.5×	50 0.7×	34 0.5×	92 1.6×	26	367
Ali Rizwan	34 0.3×	24 0.3×	40 0.6×	87 1.3×	45 0.8×	21	356
Mohsin Y Ahmed	81 0.6×	29 0.3×	8 0.1×	91 1.4×	45 0.8×	32	295
Pragya Sharma	29 0.2×	27 0.3×	59 0.8×	175 2.6×	15 0.3×	34	352
Justin Chan	35 0.3×	13 0.2×	61 0.9×	78 1.2×	25 0.4×	32	390
Adam G. Polak	161 1.2×	61 0.7×	65 0.9×	85 1.3×	21 0.4×	43	378
Ireneusz Jabłoński	53 0.4×	18 0.2×	15 0.2×	75 1.1×	63 1.1×	39	303
Vikneswaran Vijean	18 0.1×	52 0.6×	88 1.2×	50 0.7×	109 1.9×	47	336
Tatsuya Suzuki	33 0.3×	14 0.2×	85 1.2×	39 0.6×	28 0.5×	42	381

Countries citing papers authored by Patricia Nava

Since Specialization

Citations

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

Fields of papers citing papers by Patricia Nava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia Nava. 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 Patricia Nava. The network helps show where Patricia Nava may publish in the future.

Co-authorship network of co-authors of Patricia Nava

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

All Works

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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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