C.A. Pineda

74 papers receiving 1.1k citations

Peers

C.A. Pineda
Comparison fields: 5 of 127
  • Radiation 386
  • Archeology 37
  • Surfaces, Coatings and Films 124
  • Analytical Chemistry 142
  • Pollution 165
Replace N. Langhoff with:
N. Langhoff Germany
Zdeněk Nejedlý Canada
F.J. Ager Spain
A. E. Pillay South Africa
M.Á. Respaldiza Spain
M. Budnar Slovenia
Robert D. Giauque United States
N. Grassi Italy
Stjepko Fazinić Croatia
B. Nsouli Lebanon
C.A. Pineda relative to N. Langhoff Germany N. Langhoff's profile →
Citations per field
00.5×3.4×
N. Langhoff · 1×
Citations per year

Countries citing papers authored by C.A. Pineda

Since Specialization
Citations

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

Fields of papers citing papers by C.A. Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.A. Pineda. 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 C.A. Pineda. The network helps show where C.A. Pineda may publish in the future.

Co-authors

The 25 scholars most cited alongside C.A. Pineda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.A. Pineda Line = papers co-authored together C.A. Pineda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199593
2 200170
3 199954
4 202052
5
Nuclear microprobe studies of elemental distribution in apical leaves of the Ni hyperaccumulator Berkheya coddii
200142
6 199740
7 199540
8
Elemental distribution in Senecio anomalochrous, a Ni hyperaccumulator from South Africa
200131
9 199331
10 200131
11 200931
12 199729
13 199428
14 198826
15 198823
16 199322
17 200120
18 199018
19 199018
20 199417

About C.A. Pineda

C.A. Pineda is a scholar working on Radiation, Surfaces, Coatings and Films, Archeology, Cardiology and Cardiovascular Medicine and Materials Chemistry, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include X-ray Spectroscopy and Fluorescence Analysis (31 papers), Nuclear Physics and Applications (19 papers), Electron and X-Ray Spectroscopy Techniques (13 papers), Cultural Heritage Materials Analysis (9 papers), Cardiac electrophysiology and arrhythmias (7 papers), Ion-surface interactions and analysis (7 papers), Archaeology and ancient environmental studies (6 papers) and Geological and Geochemical Analysis (5 papers). The work is most often cited by research in Radiation (386 citations), Archeology (37 citations), Surfaces, Coatings and Films (124 citations), Analytical Chemistry (142 citations) and Pollution (165 citations). C.A. Pineda has collaborated with scholars based in South Africa, Colombia and Venezuela. Frequent co-authors include M. Peisach, W.J. Przybyłowicz, Jolanta Mesjasz‐Przybyłowicz, V.M. Prozesky, A. E. Pillay, L. Jacobson, C.L. Churms, Gerzón E. Delgado, T. Tinoco and Asiloé J. Mora. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Journal of Radioanalytical and Nuclear Chemistry, South African Journal of Science, The South African Archaeological Bulletin and Cardiovascular Drugs and Therapy.

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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