José E. Tábora

1.1k citations
25 papers · 888 · h-index 15

Impact in

Papers in

José E. Tábora

25 papers receiving 853 citations

Peers

José E. Tábora
Comparison fields: 5 of 78
  • Catalysis 196
  • Inorganic Chemistry 257
  • Materials Chemistry 511
  • Filtration and Separation 18
  • Computational Theory and Mathematics 89
Replace Shailendra Bordawekar with:
Shailendra Bordawekar United States
Geoffrey R. Akien United Kingdom
Marcel Liauw Germany
Zoltán Király Hungary
Chao Qian China
Rubén Laplaza Switzerland
Esther Heid Austria
James L. McDonagh United Kingdom
Olga Klimchuk France
José E. Tábora relative to Shailendra Bordawekar United States Shailendra Bordawekar's profile →
Citations per field
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Shailendra Bordawekar · 1×
Citations per year

Countries citing papers authored by José E. Tábora

Since Specialization
Citations

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

Fields of papers citing papers by José E. Tábora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994139
2 2022138
3 200772
4 199672
5 199559
6 199657
7 199555
8 202450
9 199346
10 201030
11 201529
12 202027
13 200620
14 201218
15 201918
16 201714
17 200712
18 20119
19 20196
20 20174

About José E. Tábora

José E. Tábora is a scholar working on Materials Chemistry, Biomedical Engineering, Computational Theory and Mathematics, Control and Systems Engineering and Inorganic Chemistry, having authored 25 papers that have together received 888 indexed citations. Recurring topics across this work include Crystallization and Solubility Studies (9 papers), Computational Drug Discovery Methods (6 papers), Zeolite Catalysis and Synthesis (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Process Optimization and Integration (4 papers), Analytical Chemistry and Chromatography (4 papers), Catalysis and Hydrodesulfurization Studies (3 papers) and Catalytic Processes in Materials Science (3 papers). The work is most often cited by research in Catalysis (196 citations), Inorganic Chemistry (257 citations), Materials Chemistry (511 citations), Filtration and Separation (18 citations) and Computational Theory and Mathematics (89 citations). José E. Tábora has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Robert J. Davis, Zhongfan Liu, Abigail G. Doyle, Jun Li, Jason M. Stevens, José Antonio Garrido Torres, Alina Borovika, Sii Hong Lau, Ryan P. Adams and Chau‐Chyun Chen. Their work appears in journals such as Organic Process Research & Development, Journal of Catalysis, Journal of the American Chemical Society, Journal of Pharmaceutical Sciences and Fluid Phase Equilibria.

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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