Ali Risheh

1.7k total citations
7 papers, 47 citations indexed

About

Ali Risheh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ali Risheh has authored 7 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Ali Risheh's work include Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Materials Science (3 papers). Ali Risheh is often cited by papers focused on Protein Structure and Dynamics (4 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Materials Science (3 papers). Ali Risheh collaborates with scholars based in United States, Iran and Canada. Ali Risheh's co-authors include Ehsan Nazerfard, Andreas Mandelis, Negin Forouzesh, Liza Thomas and Paul S. Nerenberg and has published in prestigious journals such as Biophysical Journal, Biomolecules and NDT & E International.

In The Last Decade

Ali Risheh

6 papers receiving 47 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ali Risheh United States	3	13	12	9	9	9	7	47
Y. Zheng China	5	8 0.6×	7 0.6×	3 0.3×	25 2.8×		11	64
Lyudmyla Kuzmych Ukraine	5	6 0.5×	9 0.8×		5 0.6×	21 2.3×	31	77
Alexander Meurer Germany	2	7 0.5×	21 1.8×	6 0.7×	5 0.6×		2	36
Oleg Oleg	5	2 0.2×	6 0.5×	4 0.4×	5 0.6×	2 0.2×	24	70
Mushthofa Mushthofa Indonesia	5	20 1.5×	2 0.2×	12 1.3×	9 1.0×	1 0.1×	21	107
Julia Duda Germany	5	2 0.2×	4 0.3×	3 0.3×	10 1.1×	1 0.1×	9	65
Hongbo Hu China	5	2 0.2×	4 0.3×	11 1.2×	2 0.2×	1 0.1×	17	89
D.R. Jenkins Australia	5	33 2.5×	5 0.4×	13 1.4×	21 2.3×		6	97
S. Kirsch Germany	5	7 0.5×	1 0.1×	4 0.4×	11 1.2×		6	49
Binbin Tian China	6	2 0.2×	1 0.1×	6 0.7×	4 0.4×	3 0.3×	19	84

Countries citing papers authored by Ali Risheh

Since Specialization

Citations

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

Fields of papers citing papers by Ali Risheh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Risheh. 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 Ali Risheh. The network helps show where Ali Risheh may publish in the future.

Co-authorship network of co-authors of Ali Risheh

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Risheh. A scholar is included among the top collaborators of Ali Risheh 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 Ali Risheh. Ali Risheh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Thomas, Liza, Ali Risheh, & Negin Forouzesh. (2025). BPS2025 - Multi-objective loss function for free energy calculations. Biophysical Journal. 124(3). 489a–489a. 1 indexed citations

2.

Risheh, Ali, et al.. (2024). Calculation of protein-ligand binding entropies using a rule-based molecular fingerprint. Biophysical Journal. 123(17). 2839–2848.

3.

Risheh, Ali, et al.. (2023). Physics-Guided Deep Generative Model For New Ligand Discovery. VTechWorks (Virginia Tech). 1–9. 2 indexed citations

4.

Risheh, Ali, et al.. (2022). A Physics-Guided Neural Network for Predicting Protein–Ligand Binding Free Energy: From Host–Guest Systems to the PDBbind Database. Biomolecules. 12(7). 919–919. 6 indexed citations

5.

Risheh, Ali, et al.. (2021). Infrared computer vision in non-destructive imaging: Sharp delineation of subsurface defect boundaries in enhanced truncated correlation photothermal coherence tomography images using K-means clustering. NDT & E International. 125. 102568–102568. 20 indexed citations

6.

Risheh, Ali, et al.. (2021). Calculation of Protein-Ligand Binding Free Energy Using a Physics-Guided Neural Network. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 6. 2487–2493. 2 indexed citations

7.

Risheh, Ali, et al.. (2020). Smart Irrigation IoT Solution using Transfer Learning for Neural Networks. 342–349. 16 indexed citations

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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