Daniel Peláez

1.5k citations
54 papers · 1.2k · h-index 20

Impact in

Papers in

Daniel Peláez

50 papers receiving 1.2k citations

Peers

Daniel Peláez
Comparison fields: 5 of 68
  • Computational Mathematics 39
  • Physical and Theoretical Chemistry 296
  • Atomic and Molecular Physics, and Optics 708
  • Spectroscopy 259
  • Atmospheric Science 200
Replace Daniele Toffoli with:
Daniele Toffoli Italy
Philippe Carbonnière France
Nicholas J. Russ United States
Burkhard Schmidt Germany
Benjamin Mintz United States
Florian A. Bischoff Germany
Raffaele Borrelli Italy
Wataru Mizukami Japan
Roberto Linguerri France
Werner Győrffy Germany
Daniel Peláez relative to Daniele Toffoli Italy Daniele Toffoli's profile →
Citations per field
00.5×1.5×2.3×
Daniele Toffoli · 1×
Citations per year

Countries citing papers authored by Daniel Peláez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Peláez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006219
2 201395
3 202171
4 200359
5 200546
6 200642
7 200737
8 201836
9 200934
10 200633
11 200333
12 200432
13 201332
14 200732
15 200530
16 200629
17 200528
18 201927
19 202224
20 201619

About Daniel Peláez

Daniel Peláez is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy, Atmospheric Science, Materials Chemistry and Molecular Biology, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (24 papers), Atmospheric Ozone and Climate (12 papers), Spectroscopy and Quantum Chemical Studies (11 papers), Atmospheric chemistry and aerosols (10 papers), Advanced NMR Techniques and Applications (6 papers), Tensor decomposition and applications (6 papers), Protein Structure and Dynamics (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Computational Mathematics (39 citations), Physical and Theoretical Chemistry (296 citations), Atomic and Molecular Physics, and Optics (708 citations), Spectroscopy (259 citations) and Atmospheric Science (200 citations). Daniel Peláez has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Juan Soto, Juan C. Otero, Juan F. Arenas, Hans‐Dieter Meyer, Luis Serrano‐Andrés, Remedios González-Luque, Mar Reguero, Manuela Merchán, Teresa Climent and Elena M. Rodríguez Rodríguez. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry A, Journal of Computational Chemistry, Physical Chemistry Chemical Physics and The Journal of Physical Chemistry C.

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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