Daniel P. Dolata

25 papers receiving 412 citations

Peers

Daniel P. Dolata
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 105
  • Physical and Theoretical Chemistry 54
  • Inorganic Chemistry 84
  • Organic Chemistry 148
  • Spectroscopy 83
Replace Arthur F. Duprat with:
Arthur F. Duprat France
Tang Youqi China
M. HATANO Japan
Rhonda A. Torres United States
Monu Joy India
A. Varnek France
Justyna Kalinowska‐Tłuścik Poland
Sophia Kazanis United States
Valérie Dillet France
D. A. Norton United States
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Citations per year

Countries citing papers authored by Daniel P. Dolata

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Dolata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel P. Dolata, 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 P. Dolata Line = papers co-authored together Daniel P. Dolata 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 1994133
2 198746
3 199038
4 199626
5 199425
6 198422
7 199222
8 198722
9 199019
10 198815
11 199013
12 197310
13 19938
14 19976
15 19906
16 19875
17 19924
18 19904
19 19724
20 19873

About Daniel P. Dolata

Daniel P. Dolata is a scholar working on Organic Chemistry, Physical and Theoretical Chemistry, Computational Theory and Mathematics, Spectroscopy and Molecular Biology, having authored 25 papers that have together received 439 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Molecular spectroscopy and chirality (6 papers), Various Chemistry Research Topics (6 papers), Analytical Chemistry and Chromatography (4 papers), Organic Chemistry Cycloaddition Reactions (2 papers), Advanced Chemical Physics Studies (2 papers), History and advancements in chemistry (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Physical and Theoretical Chemistry (54 citations), Inorganic Chemistry (84 citations), Organic Chemistry (148 citations) and Spectroscopy (83 citations). Daniel P. Dolata has collaborated with scholars based in United States, Italy and Sweden. Frequent co-authors include Andrew R. Leach, Keith Prout, Abby L. Parrill, W. Patrick Walters, Martin K. Safo, W. Robert Scheidt, Arnold M. Raitsimring, Peter G. Debrunner, F. Ann Walker and Robert E. Carter. Their work appears in journals such as Tetrahedron Letters, Journal of Computer-Aided Molecular Design, Journal of the American Chemical Society, The Journal of Organic Chemistry and Journal of Computational Chemistry.

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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