Vida Ravanmehr

786 total citations
15 papers, 168 citations indexed

About

Vida Ravanmehr is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Vida Ravanmehr has authored 15 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Vida Ravanmehr's work include Biomedical Text Mining and Ontologies (4 papers), Error Correcting Code Techniques (4 papers) and Bioinformatics and Genomic Networks (4 papers). Vida Ravanmehr is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Error Correcting Code Techniques (4 papers) and Bioinformatics and Genomic Networks (4 papers). Vida Ravanmehr collaborates with scholars based in United States, Italy and United Kingdom. Vida Ravanmehr's co-authors include Bane Vasić, Justin Reese, Peter N. Robinson, Melissa Haendel, Tommaso Fontana, Chris Mungall, Luca Cappelletti, Marcin P. Joachimiak, Guy Karlebach and Leigh Carmody and has published in prestigious journals such as Nature Communications, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Vida Ravanmehr

13 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vida Ravanmehr United States	5	110	58	57	21	15	15	168
Sky Faber United States	5	31 0.3×	15 0.3×	84 1.5×	11 0.5×	13 0.9×	7	121
C. Wolfe United States	4	124 1.1×	13 0.2×	52 0.9×	16 0.8×	8 0.5×	7	208
Hansheng Xue China	9	181 1.6×	29 0.5×	46 0.8×	29 1.4×	4 0.3×	16	239
Hannah Blau United States	8	69 0.6×	16 0.3×	57 1.0×	14 0.7×	13 0.9×	16	191
Karim Beguir Germany	6	96 0.9×	17 0.3×	32 0.6×	12 0.6×	3 0.2×	11	179
Hongyu Kang China	8	48 0.4×	18 0.3×	20 0.4×	26 1.2×	47 3.1×	15	160
Mathilde Noual France	9	156 1.4×	38 0.7×	19 0.3×	53 2.5×	18 1.2×	13	197
Thomas Pierrot United Kingdom	5	93 0.8×	17 0.3×	33 0.6×	13 0.6×	3 0.2×	14	180
Ian McQuillan Canada	8	154 1.4×	15 0.3×	72 1.3×	71 3.4×	8 0.5×	58	235
Theofanis Karaletsos United States	7	139 1.3×	17 0.3×	51 0.9×	9 0.4×	2 0.1×	16	223

Countries citing papers authored by Vida Ravanmehr

Since Specialization

Citations

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

Fields of papers citing papers by Vida Ravanmehr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vida Ravanmehr

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

All Works

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15 of 15 papers shown

Matelska, Dorota, Jessica C. Butts, Vida Ravanmehr, et al.. (2025). Diverse ancestral representation improves genetic intolerance metrics. Nature Communications. 16(1). 2648–2648.

Cappelletti, Luca, Tommaso Fontana, Elena Casiraghi, et al.. (2024). Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning. Bioinformatics Advances. 4(1). vbae036–vbae036. 4 indexed citations

Cappelletti, Luca, Tommaso Fontana, Elena Casiraghi, et al.. (2023). GRAPE for fast and scalable graph processing and random-walk-based embedding. Nature Computational Science. 3(6). 552–568. 14 indexed citations

Ravanmehr, Vida, Hannah Blau, Luca Cappelletti, et al.. (2021). Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer. NAR Genomics and Bioinformatics. 3(4). lqab113–lqab113. 4 indexed citations

Robinson, Peter N., Vida Ravanmehr, Julius O.B. Jacobsen, et al.. (2020). Interpretable Clinical Genomics with a Likelihood Ratio Paradigm. The American Journal of Human Genetics. 107(3). 403–417. 51 indexed citations

Reese, Justin, Deepak Unni, Tiffany J. Callahan, et al.. (2020). KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns. 2(1). 100155–100155. 54 indexed citations

Reese, Justin, Deepak Unni, Tiffany J. Callahan, et al.. (2020). KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. SSRN Electronic Journal. 2 indexed citations

Ravanmehr, Vida, Gregory J. Puleo, Sadegh Bolouki, & Olgica Milenković. (2018). Paired threshold graphs. Discrete Applied Mathematics. 250. 291–308. 1 indexed citations

Ravanmehr, Vida, Minji Kim, Zhiying Wang, & Olgica Milenković. (2017). ChIPWig: a random access-enabling lossless and lossy compression method for ChIP-seq data. Bioinformatics. 34(6). 911–919. 4 indexed citations

10.

Bolouki, Sadegh, Mohammad Hossein Manshaei, Vida Ravanmehr, Angelia Nedić, & Tamer Başar. (2017). Group Testing Game. IFAC-PapersOnLine. 50(1). 9668–9673.

11.

Ravanmehr, Vida, Mehrdad Khatami, David Declercq, & Bane Vasić. (2016). Check-hybrid GLDPC Codes: Systematic Elimination of Trapping Sets and\n Guaranteed Error Correction Capability. arXiv (Cornell University). 1 indexed citations

12.

Vasić, Bane, et al.. (2015). Fault-resilient decoders and memories made of unreliable components. 61. 136–142. 10 indexed citations

13.

Khatami, Mehrdad, Vida Ravanmehr, & Bane Vasić. (2014). GBP-based detection and symmetric information rate for rectangular-grain TDMR model. 1618–1622. 2 indexed citations

14.

Vasić, Bane, et al.. (2011). An Information Theoretic Approach to Constructing Robust Boolean Gene Regulatory Networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(1). 52–65. 20 indexed citations

15.

Esmaeili, Morteza & Vida Ravanmehr. (2009). Two Classes of Optimal Stopping Redundancy Codes.. Ars Combinatoria. 92. 1 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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