Daniel E. Bacelo

41 papers receiving 511 citations

Peers

Daniel E. Bacelo
Comparison fields: 5 of 95
  • Computational Theory and Mathematics 115
  • Atomic and Molecular Physics, and Optics 164
  • Spectroscopy 85
  • Physical and Theoretical Chemistry 37
  • Toxicology 13
Replace Marcel Stahn with:
Marcel Stahn Germany
Andrew J. Holder United States
Filiberto Ortíz‐Chi Mexico
Esam A. Orabi Canada
Bishnu Thapa United States
Rui M. Borges dos Santos Portugal
Donn M. Storch United States
Soma Duley India
Sidi Mohamed Mekelleche Algeria
T. G. Denisova Russia
Daniel E. Bacelo relative to Marcel Stahn Germany Marcel Stahn's profile →
Citations per field
00.5×3.3×
Marcel Stahn · 1×
Citations per year

Countries citing papers authored by Daniel E. Bacelo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Bacelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel E. Bacelo, 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 Daniel E. Bacelo Line = papers co-authored together Daniel E. Bacelo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199983
2 201455
3 201424
4 200024
5 200224
6 201823
7 201723
8 201720
9 200618
10 200516
11 201915
12 200813
13 200613
14 200311
15 200611
16 200610
17 201510
18 20179
19 20029
20 19979

About Daniel E. Bacelo

Daniel E. Bacelo is a scholar working on Organic Chemistry, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Materials Chemistry and Molecular Biology, having authored 44 papers that have together received 523 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Advanced Chemical Physics Studies (9 papers), Free Radicals and Antioxidants (6 papers), Iron Metabolism and Disorders (4 papers), Analytical Chemistry and Chromatography (4 papers), Porphyrin Metabolism and Disorders (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers) and Chemistry and Chemical Engineering (3 papers). The work is most often cited by research in Computational Theory and Mathematics (115 citations), Atomic and Molecular Physics, and Optics (164 citations), Spectroscopy (85 citations), Physical and Theoretical Chemistry (37 citations) and Toxicology (13 citations). Daniel E. Bacelo has collaborated with scholars based in Argentina, Puerto Rico and United States. Frequent co-authors include R. C. Binning, Pablo R. Duchowicz, Yasuyuki Ishikawa, Yasuyuki Ishikawa, Andrey A. Toropov, Alla P. Toropova, Daniel O. Bennardi, Eduardo A. Castro, Cristian Rojas and Erlinda V. Ortiz. Their work appears in journals such as Chemical Physics Letters, The Journal of Physical Chemistry A, International Journal of Quantum Chemistry, SAR and QSAR in environmental research and Environmental Science and Pollution Research.

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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