Daniel J. Garcia

42 total papers · 1.3k total citations
23 papers, 950 citations indexed

About

Daniel J. Garcia is a scholar working on Environmental Engineering, Water Science and Technology and Biomedical Engineering. According to data from OpenAlex, Daniel J. Garcia has authored 23 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 5 papers in Water Science and Technology and 5 papers in Biomedical Engineering. Recurrent topics in Daniel J. Garcia's work include Biofuel production and bioconversion (5 papers), Water-Energy-Food Nexus Studies (5 papers) and Process Optimization and Integration (4 papers). Daniel J. Garcia is often cited by papers focused on Biofuel production and bioconversion (5 papers), Water-Energy-Food Nexus Studies (5 papers) and Process Optimization and Integration (4 papers). Daniel J. Garcia collaborates with scholars based in United States, Spain and Mexico. Daniel J. Garcia's co-authors include Fengqi You, Jian Gong, Jian Cao, Kornel F. Ehmann, Young‐Shin Jun, Jennifer Bennett, Gregory Hyatt, Jessica R. Ray, Hongbo Shao and Yandi Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Journal of Cleaner Production.

In The Last Decade

Daniel J. Garcia

23 papers receiving 922 citations

Author Peers

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

Author						Papers	Cites
Daniel J. Garcia	249	201	196	176	155	23	950
Eusiel Rubio‐Castro	213 0.9×	370 1.8×	80 0.4×	109 0.6×	88 0.6×	40	921
Jigeng Li	145 0.6×	113 0.6×	216 1.1×	57 0.3×	58 0.4×	49	1.0k
Shuai Yang	283 1.1×	191 1.0×	107 0.5×	446 2.5×	136 0.9×	74	1.2k
George Arampatzis	136 0.5×	107 0.5×	193 1.0×	155 0.9×	103 0.7×	73	1.2k
Rajesh Govindan	358 1.4×	57 0.3×	257 1.3×	252 1.4×	51 0.3×	51	1.2k
Gerardo J. Ruiz‐Mercado	64 0.3×	273 1.4×	238 1.2×	103 0.6×	203 1.3×	57	1.1k
Ricardo de Araújo Kalid	129 0.5×	139 0.7×	127 0.6×	124 0.7×	45 0.3×	64	1.1k
Debalina Sengupta	184 0.7×	186 0.9×	160 0.8×	38 0.2×	116 0.7×	42	1.1k
Scott Kennedy	141 0.6×	255 1.3×	145 0.7×	124 0.7×	163 1.1×	24	1.2k
Viknesh Andiappan	68 0.3×	355 1.8×	141 0.7×	87 0.5×	234 1.5×	104	1.2k

Countries citing papers authored by Daniel J. Garcia

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Garcia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Garcia. 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 Daniel J. Garcia. The network helps show where Daniel J. Garcia may publish in the future.

Co-authorship network of co-authors of Daniel J. Garcia

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Garcia. A scholar is included among the top collaborators of Daniel J. Garcia 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 Daniel J. Garcia. Daniel J. Garcia 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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