Ehsaneddin Asgari
- Molecular Biology top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Molecular Medicine top 10%
- Materials Chemistry
- Co-authors
- Mohammad R. K. MofradAlice C. McHardyGabriel CabotPetra GastmeierDaniel E JonasAndreas BremgesAntonio OliverSusanne Häußler
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (6 papers)Machine Learning in Bioinformatics (5 papers)
- Partner nations
- United StatesGermanyIran
In The Last Decade
Ehsaneddin Asgari
24 papers receiving 894 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 715
- Computational Theory and Mathematics 164
- Artificial Intelligence 105
- Molecular Medicine 69
- Materials Chemistry 53
Countries citing papers authored by Ehsaneddin Asgari
This map shows the geographic impact of Ehsaneddin Asgari'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 Ehsaneddin Asgari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsaneddin Asgari more than expected).
Fields of papers citing papers by Ehsaneddin Asgari
This network shows the impact of papers produced by Ehsaneddin Asgari. 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 Ehsaneddin Asgari. The network helps show where Ehsaneddin Asgari may publish in the future.
Co-authorship network of co-authors of Ehsaneddin Asgari
This figure shows the co-authorship network connecting the top 25 collaborators of Ehsaneddin Asgari. A scholar is included among the top collaborators of Ehsaneddin Asgari 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 Ehsaneddin Asgari. Ehsaneddin Asgari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 127 | |
| 11 | 3 | |
| 12 | 49 | |
| 13 | Life Language Processing: Deep Learning-based Language-agnostic Processing of Proteomics, Genomics/Metagenomics, and Human Languages | 3 |
| 14 | 58 | |
| 15 | 10 | |
| 16 | 31 | |
| 17 | 1 | |
| 18 | Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomicsbreakdown → | 543 |
| 19 | Linguistic Resources and Topic Models for the Analysis of Persian Poems | 8 |
| 20 | 14 |
About Ehsaneddin Asgari
Ehsaneddin Asgari is a scholar working on Molecular Medicine, Artificial Intelligence and General Social Sciences, having authored 25 papers that have together received 917 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Medicine (69 citations), Applied Microbiology and Biotechnology (21 citations) and Molecular Biology (715 citations). Ehsaneddin Asgari has collaborated with scholars based in United States, Germany and Iran. Frequent co-authors include Mohammad R. K. Mofrad, Alice C. McHardy, Gabriel Cabot, Petra Gastmeier, Daniel E Jonas, Andreas Bremges, Antonio Oliver, Susanne Häußler, Monika Schniederjans and Michael Hogardt. 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.