Daniel D. Robinson

15 papers receiving 464 citations

Peers

Daniel D. Robinson
Comparison fields: 5 of 76
  • Computational Theory and Mathematics 293
  • Spectroscopy 84
  • Organic Chemistry 123
  • Molecular Biology 249
  • Toxicology 12
Replace Nicola J. Richmond with:
Nicola J. Richmond United Kingdom
Michael Thormann Germany
Christine Rudolph Germany
Philip M. Dean United Kingdom
Fredrik Österberg Sweden
Gianluca Sforna Italy
Renli Li China
Joseph M. Leonard United States
Daniel A. Gschwend United States
Dorica Mayer United States
Daniel D. Robinson relative to Nicola J. Richmond United Kingdom Nicola J. Richmond's profile →
Citations per field
00.5×1.5×
Nicola J. Richmond · 1×
Citations per year

Countries citing papers authored by Daniel D. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Daniel D. Robinson, 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 D. Robinson Line = papers co-authored together Daniel D. Robinson links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1999133
2 2010103
3 200195
4 200239
5 201026
6 199720
7 201116
8 200015
9 199910
10 19979
11 20244
12 19823
13 19993
14 20252
15
Analysis and Interpretation of Financial Data.
19752
16 19990

About Daniel D. Robinson

Daniel D. Robinson is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Materials Chemistry and Hardware and Architecture, having authored 16 papers that have together received 480 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (5 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers), Molecular spectroscopy and chirality (3 papers), VLSI and Analog Circuit Testing (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Computational Theory and Mathematics (293 citations), Spectroscopy (84 citations), Organic Chemistry (123 citations), Molecular Biology (249 citations) and Toxicology (12 citations). Daniel D. Robinson has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include W. Graham Richards, Peter J. Winn, Paul D. Lyne, Woody Sherman, Ramy Farid, William G. Richards, Guy H. Grant, Meir Glick, Ronald M. A. Knegtel and David J. Huggins. Their work appears in journals such as PLoS Computational Biology, ChemMedChem, ACM Transactions on Design Automation of Electronic Systems, Journal of the American Chemical Society and Journal of Medicinal 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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