N. Escalona

5.0k citations
155 papers · 4.2k · h-index 38

Impact in

Papers in

N. Escalona

150 papers receiving 4.2k citations

Peers

N. Escalona
Comparison fields: 5 of 89
  • Catalysis 722
  • Mechanical Engineering 2.4k
  • Process Chemistry and Technology 166
  • Materials Chemistry 2.1k
  • Biomedical Engineering 1.8k
Replace Ajay K. Dalai with:
Ajay K. Dalai Canada
José Rodríguez‐Mirasol Spain
Narayan C. Pradhan India
Beata Michalkiewicz Poland
Yanhong Chao China
Wook‐Jin Chung South Korea
V. А. Yakovlev Russia
Ahmad Tavasoli Iran
Herma Dina Setiabudi Malaysia
N. Escalona relative to Ajay K. Dalai Canada Ajay K. Dalai's profile →
Citations per field
00.5×1.6×
Ajay K. Dalai · 1×
Citations per year

Countries citing papers authored by N. Escalona

Since Specialization
Citations

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

Fields of papers citing papers by N. Escalona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015212
2 2018182
3 2019174
4 2012131
5 2011111
6 2012111
7 2015101
8 2011101
9 201791
10 201481
11 202081
12 201673
13 201267
14 201662
15 201660
16 201657
17 200456
18 201853
19 201753
20 201050

About N. Escalona

N. Escalona is a scholar working on Mechanical Engineering, Materials Chemistry, Biomedical Engineering, Organic Chemistry and Catalysis, having authored 155 papers that have together received 4.2k indexed citations. Recurring topics across this work include Catalysis and Hydrodesulfurization Studies (84 papers), Catalytic Processes in Materials Science (57 papers), Catalysis for Biomass Conversion (39 papers), Nanomaterials for catalytic reactions (30 papers), Catalysts for Methane Reforming (22 papers), Lignin and Wood Chemistry (13 papers), Petroleum Processing and Analysis (9 papers) and Catalysis and Oxidation Reactions (9 papers). The work is most often cited by research in Catalysis (722 citations), Mechanical Engineering (2.4k citations), Process Chemistry and Technology (166 citations), Materials Chemistry (2.1k citations) and Biomedical Engineering (1.8k citations). N. Escalona has collaborated with scholars based in Chile, Spain and United States. Frequent co-authors include J.L.G. Fierro, C. Sepúlveda, I. Tyrone Ghampson, Rafael A. García, Ana Belén Dongil, Gina Pecchi, Élodie Blanco, William J. DeSisto, K. Leiva and D. Laurenti. Their work appears in journals such as Applied Catalysis A General, Catalysis Today, Fuel, Catalysis Communications and Dalton Transactions.

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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