Daniele Pittalis

25 total papers · 558 total citations
19 papers, 437 citations indexed

About

Daniele Pittalis is a scholar working on Geochemistry and Petrology, Environmental Engineering and Ecology. According to data from OpenAlex, Daniele Pittalis has authored 19 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geochemistry and Petrology, 10 papers in Environmental Engineering and 4 papers in Ecology. Recurrent topics in Daniele Pittalis's work include Groundwater and Isotope Geochemistry (13 papers), Groundwater flow and contamination studies (9 papers) and Groundwater and Watershed Analysis (3 papers). Daniele Pittalis is often cited by papers focused on Groundwater and Isotope Geochemistry (13 papers), Groundwater flow and contamination studies (9 papers) and Groundwater and Watershed Analysis (3 papers). Daniele Pittalis collaborates with scholars based in Italy, Spain and United States. Daniele Pittalis's co-authors include Giorgio Ghiglieri, Alberto Carletti, Giacomo Oggiano, Stefania Da Pelo, Riccardo Biddau, Rosa Cidu, Guido Cerri, Pier Paolo Roggero, Joseph Irudayaraj and Elodia Musu and has published in prestigious journals such as The Science of The Total Environment, Journal of Hydrology and Engineering Geology.

In The Last Decade

Daniele Pittalis

19 papers receiving 432 citations

Author Peers

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

Author						Papers	Cites
Daniele Pittalis	288	181	156	69	44	19	437
Alberto Carletti	241 0.8×	188 1.0×	111 0.7×	80 1.2×	49 1.1×	34	462
Michael Zilberbrand	256 0.9×	233 1.3×	109 0.7×	47 0.7×	50 1.1×	23	456
Hans C. Claassen	192 0.7×	167 0.9×	146 0.9×	43 0.6×	29 0.7×	25	397
Enn Karro	268 0.9×	150 0.8×	199 1.3×	65 0.9×	22 0.5×	27	454
Orlando Mauricio Quiroz Londoño	228 0.8×	229 1.3×	162 1.0×	45 0.7×	23 0.5×	41	442
Lior C. Goldenberg	194 0.7×	227 1.3×	100 0.6×	36 0.5×	36 0.8×	16	432
Ya Wu	176 0.6×	81 0.4×	99 0.6×	175 2.5×	35 0.8×	29	441
Archana Deodhar	293 1.0×	176 1.0×	113 0.7×	35 0.5×	29 0.7×	21	404
Jianmin Bian	211 0.7×	177 1.0×	193 1.2×	103 1.5×	20 0.5×	27	492
Rak‐Hyeon Kim	340 1.2×	262 1.4×	231 1.5×	59 0.9×	39 0.9×	22	486

Countries citing papers authored by Daniele Pittalis

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Pittalis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Pittalis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Pittalis. A scholar is included among the top collaborators of Daniele Pittalis 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 Daniele Pittalis. Daniele Pittalis 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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