Charles Siegel
About
In The Last Decade
Charles Siegel
10 papers receiving 188 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 87
- Computational Theory and Mathematics 61
- Materials Chemistry 51
- Information Systems 40
- Molecular Biology 39
Countries citing papers authored by Charles Siegel
This map shows the geographic impact of Charles Siegel'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 Charles Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Siegel more than expected).
Fields of papers citing papers by Charles Siegel
This network shows the impact of papers produced by Charles Siegel. 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 Charles Siegel. The network helps show where Charles Siegel may publish in the future.
Co-authorship network of co-authors of Charles Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Siegel. A scholar is included among the top collaborators of Charles Siegel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Siegel. Charles Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 20 | |
| 3 | 58 | |
| 4 | 60 | |
| 5 | SMILES2vec: Predicting Chemical Properties from Text Representations | 9 |
| 6 | ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction | 6 |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 2 |
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.