Changiz Eslahchi
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Materials Chemistry
- Artificial Intelligence top 10%
- Cognitive Neuroscience
- Co-authors
- Mehdi SadeghiHamid PezeshkMojtaba GanjaliLimsoon WongHamidreza PouretemadSayed‐Amir MarashiXiujun ZhangReza Khosrowabadi
- Topics
- Bioinformatics and Genomic Networks (20 papers)Machine Learning in Bioinformatics (17 papers)Protein Structure and Dynamics (17 papers)
- Partner nations
- IranUnited StatesSingapore
In The Last Decade
Changiz Eslahchi
76 papers receiving 883 citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 586
- Computational Theory and Mathematics 369
- Materials Chemistry 111
- Artificial Intelligence 102
- Cognitive Neuroscience 48
Countries citing papers authored by Changiz Eslahchi
This map shows the geographic impact of Changiz Eslahchi'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 Changiz Eslahchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changiz Eslahchi more than expected).
Fields of papers citing papers by Changiz Eslahchi
This network shows the impact of papers produced by Changiz Eslahchi. 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 Changiz Eslahchi. The network helps show where Changiz Eslahchi may publish in the future.
Co-authorship network of co-authors of Changiz Eslahchi
This figure shows the co-authorship network connecting the top 25 collaborators of Changiz Eslahchi. A scholar is included among the top collaborators of Changiz Eslahchi 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 Changiz Eslahchi. Changiz Eslahchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 27 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 116 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 45 | |
| 9 | 24 | |
| 10 | Proper Nearly Perfect Sets in Graphs. | 1 |
| 11 | 3 | |
| 12 | 34 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | HELIX SEGMENT ASSIGNMENT IN PROTEINS USING FUZZY LOGIC | 2 |
| 16 | C-Perfect K-Uniform Hypergraphs. | 1 |
| 17 | 2 | |
| 18 | Progress on the Hall-Number-Two problem. | 5 |
| 19 | Characterization of graphs with Hall index 2. | 1 |
| 20 | A counterexample for Hilton-Johnson's conjecture on list coloring of graphs. | 3 |
About Changiz Eslahchi
Changiz Eslahchi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Toxicology, having authored 81 papers that have together received 910 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Machine Learning in Bioinformatics (17 papers) and Protein Structure and Dynamics (17 papers). The work is most often cited by research in Computational Theory and Mathematics (369 citations), Molecular Biology (586 citations) and Toxicology (19 citations). Changiz Eslahchi has collaborated with scholars based in Iran, United States and Singapore. Frequent co-authors include Mehdi Sadeghi, Hamid Pezeshk, Mojtaba Ganjali, Limsoon Wong, Hamidreza Pouretemad, Sayed‐Amir Marashi, Xiujun Zhang, Reza Khosrowabadi, Masoumeh Sadeghi and Alireza Ghassempour. Their work appears in journals such as Bioinformatics, PLoS ONE and Scientific Reports.
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.