Daniel Glossman‐Mitnik

4.9k citations
237 papers · 4.0k · h-index 33

Impact in

Papers in

Daniel Glossman‐Mitnik

228 papers receiving 3.8k citations

Peers

Daniel Glossman‐Mitnik
Comparison fields: 5 of 134
  • Metals and Alloys 196
  • Organic Chemistry 1.8k
  • Physical and Theoretical Chemistry 449
  • Computational Theory and Mathematics 686
  • Biochemistry 187
Replace Silvia Antonia Brandán with:
Silvia Antonia Brandán Argentina
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Glossman‐Mitnik

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Glossman‐Mitnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004167
2 2006161
3 2007100
4 200697
5 200995
6 201374
7 200472
8 200469
9 201566
10 201060
11 200457
12 200754
13 201853
14 201846
15 200746
16 202045
17 201845
18 201843
19 202142
20 201041

About Daniel Glossman‐Mitnik

Daniel Glossman‐Mitnik is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Materials Chemistry, Physical and Theoretical Chemistry and Electronic, Optical and Magnetic Materials, having authored 237 papers that have together received 4.0k indexed citations. Recurring topics across this work include Free Radicals and Antioxidants (80 papers), Computational Drug Discovery Methods (61 papers), Organic Chemistry Cycloaddition Reactions (53 papers), Nonlinear Optical Materials Research (35 papers), Advanced Chemical Physics Studies (25 papers), Photochemistry and Electron Transfer Studies (24 papers), TiO2 Photocatalysis and Solar Cells (17 papers) and Synthesis and biological activity (16 papers). The work is most often cited by research in Metals and Alloys (196 citations), Organic Chemistry (1.8k citations), Physical and Theoretical Chemistry (449 citations), Computational Theory and Mathematics (686 citations) and Biochemistry (187 citations). Daniel Glossman‐Mitnik has collaborated with scholars based in Mexico, Spain and India. Frequent co-authors include Juan Frau, Norma Flores‐Holguín, Luz Marı́a Rodrı́guez-Valdez, Ana María Mendoza–Wilson, A. Martínez‐Villafañe, Marco Gallo, Jesús Baldenebro-López, Guillermo Salgado‐Morán, Jorge I. Martínez‐Araya and J. A. Alonso. Their work appears in journals such as Journal of Molecular Modeling, Molecules, Frontiers in Chemistry, Theoretical Chemistry Accounts and Chemical Physics Letters.

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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