Daniel Paul
Impact in
- Geometry and Topology top 2%
- Graph theory and applications
-
- Computational Drug Discovery Methods
Papers in
-
- Graph theory and applications 10
-
- Computational Drug Discovery Methods 6
- Advanced Graph Theory Research 3
- Graph Labeling and Dimension Problems 2
- Co-authors
- Micheal Arockiaraj (14 shared papers)Joseph Clement (9 shared papers)K. Balasubramanian (8 shared papers)Sandi Klavžar (2 shared papers)Muhammad Usman Ghani (1 shared paper)Yu‐Ming Chu (1 shared paper)Robert M. Wolf (1 shared paper)Thomas Wiegand (1 shared paper)
- Journals
- Current Organic Synthesis (1 paper)SAR and QSAR in environmental research (1 paper)Scientific Reports (1 paper)Angewandte Chemie International Edition (1 paper)Molecular Physics (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Daniel Paul
15 papers receiving 392 citations
Peers
Comparison fields: 5 of 44
- Geometry and Topology 243
- Computational Theory and Mathematics 219
- Inorganic Chemistry 95
- Organic Chemistry 142
- Materials Chemistry 96
Countries citing papers authored by Daniel Paul
This map shows the geographic impact of Daniel Paul'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 Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Paul more than expected).
Fields of papers citing papers by Daniel Paul
This network shows the impact of papers produced by Daniel Paul. 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 Paul. The network helps show where Daniel Paul may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniel Paul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 77 | |
| 2 | 2023 | 57 | |
| 3 | 2020 | 42 | |
| 4 | 2022 | 42 | |
| 5 | 2020 | 37 | |
| 6 | 2021 | 37 | |
| 7 | 2023 | 31 | |
| 8 | 2014 | 23 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 9 | |
| 12 | Distributed P trticle-Mesh Ewald: A Parallel Ewald Summation Method. | 1996 | 6 |
| 13 | 2024 | 6 | |
| 14 | 2015 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2013 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Daniel Paul
Daniel Paul is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Inorganic Chemistry, Organic Chemistry and Management Science and Operations Research, having authored 18 papers that have together received 401 indexed citations. Recurring topics across this work include Graph theory and applications (10 papers), Computational Drug Discovery Methods (6 papers), Zeolite Catalysis and Synthesis (5 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Advanced Graph Theory Research (3 papers), Free Radicals and Antioxidants (2 papers), Graph Labeling and Dimension Problems (2 papers) and Polyoxometalates: Synthesis and Applications (1 paper). The work is most often cited by research in Geometry and Topology (243 citations), Computational Theory and Mathematics (219 citations), Inorganic Chemistry (95 citations), Organic Chemistry (142 citations) and Materials Chemistry (96 citations). Daniel Paul has collaborated with scholars based in India, United States and China. Frequent co-authors include Micheal Arockiaraj, Joseph Clement, K. Balasubramanian, Sandi Klavžar, Muhammad Usman Ghani, Yu‐Ming Chu, Robert M. Wolf, Thomas Wiegand, Hellmut Eckert and Michael Bodensteiner. Their work appears in journals such as Current Organic Synthesis, SAR and QSAR in environmental research, Scientific Reports, Angewandte Chemie International Edition and Molecular Physics.
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.