Abraham Yosipof

520 total citations
24 papers, 313 citations indexed

About

Abraham Yosipof is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Sociology and Political Science. According to data from OpenAlex, Abraham Yosipof has authored 24 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 9 papers in Computational Theory and Mathematics and 7 papers in Sociology and Political Science. Recurrent topics in Abraham Yosipof's work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (8 papers) and Misinformation and Its Impacts (6 papers). Abraham Yosipof is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (8 papers) and Misinformation and Its Impacts (6 papers). Abraham Yosipof collaborates with scholars based in Israel, Austria and United States. Abraham Yosipof's co-authors include Hanoch Senderowitz, Nadejda Komendantova, Bradley R. Barnes, Yang Song, Ron Berger, Rita C. Guedes, Alfonso T. García‐Sosa, Hannah‐Noa Barad, Arie Zaban and Assaf Y. Anderson and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry A and Journal of Computational Chemistry.

In The Last Decade

Abraham Yosipof

23 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abraham Yosipof Israel 9 73 69 68 66 58 24 313
Christian Sternitzke Germany 10 26 0.4× 16 0.2× 14 0.2× 210 3.2× 25 0.4× 15 494
Hajime Sasaki Japan 9 10 0.1× 22 0.3× 14 0.2× 41 0.6× 16 0.3× 53 272
Milica Jovanović Serbia 10 36 0.5× 24 0.3× 11 0.2× 75 1.1× 14 0.2× 18 386
Hiran H. Lathabai India 11 10 0.1× 6 0.1× 13 0.2× 45 0.7× 37 0.6× 34 325
Yanhui Jiang China 12 7 0.1× 13 0.2× 9 0.1× 58 0.9× 31 0.5× 50 342
Lothar Walter Germany 11 22 0.3× 25 0.4× 19 0.3× 96 1.5× 5 0.1× 21 419
Darrell Ray Toothman United States 7 10 0.1× 12 0.2× 38 0.6× 51 0.8× 15 0.3× 9 362
Ziyu Yang China 8 8 0.1× 31 0.4× 13 0.2× 23 0.3× 12 0.2× 41 229
Henry J. Eberhart United States 6 9 0.1× 9 0.1× 36 0.5× 46 0.7× 14 0.2× 7 319

Countries citing papers authored by Abraham Yosipof

Since Specialization
Citations

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

Fields of papers citing papers by Abraham Yosipof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abraham Yosipof

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

All Works

20 of 20 papers shown
1.
2.
Komendantova, Nadejda, et al.. (2024). Cyber-echoes of climate crisis: Unraveling anthropogenic climate change narratives on social media. Current Research in Environmental Sustainability. 7. 100256–100256. 3 indexed citations
3.
Woo, Gordon, et al.. (2024). A dual-focus analysis of wikipedia traffic and linguistic patterns in public risk awareness Post-Charlie Hebdo. Computers in Human Behavior Reports. 17. 100580–100580.
4.
Yosipof, Abraham, et al.. (2024). Crowdfunding technology projects: The impact of textual characterization on project success. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration. 41(4). 531–548. 1 indexed citations
5.
Komendantova, Nadejda, et al.. (2024). Persistence of misinformation and hate speech over the years: The Manchester Arena bombing. International Journal of Disaster Risk Reduction. 110. 104635–104635. 1 indexed citations
6.
Yosipof, Abraham, Gordon Woo, & Nadejda Komendantova. (2023). Persistence of risk awareness: Manchester arena bombing on 22 May 2017. International Journal of Disaster Risk Reduction. 94. 103805–103805. 4 indexed citations
7.
Dallo, Irina, et al.. (2023). Dynamics and characteristics of misinformation related to earthquake predictions on Twitter. Scientific Reports. 13(1). 13391–13391. 7 indexed citations
8.
Bahia, Malkeet Singh, et al.. (2023). A comparison between 2D and 3D descriptors in QSAR modeling based on bio‐active conformations. Molecular Informatics. 42(4). e2200186–e2200186. 24 indexed citations
9.
Yosipof, Abraham, et al.. (2022). COVID-19 Conspiracy Theories Discussion on Twitter. Social Media + Society. 8(4). 1938328483–1938328483. 36 indexed citations
10.
Yosipof, Abraham, et al.. (2020). Dynamic Classification for Materials‐Informatics: Mining the Solar Cell Space. Molecular Informatics. 41(1). e2000173–e2000173. 5 indexed citations
11.
Song, Yang, Ron Berger, Abraham Yosipof, & Bradley R. Barnes. (2019). Mining and investigating the factors influencing crowdfunding success. Technological Forecasting and Social Change. 148. 119723–119723. 60 indexed citations
12.
Yosipof, Abraham, Rita C. Guedes, & Alfonso T. García‐Sosa. (2018). Data Mining and Machine Learning Models for Predicting Drug Likeness and Their Disease or Organ Category. Frontiers in Chemistry. 6. 162–162. 40 indexed citations
13.
Yosipof, Abraham, et al.. (2017). RANdom SAmple Consensus (RANSAC) algorithm for material-informatics: application to photovoltaic solar cells. Journal of Cheminformatics. 9(1). 34–34. 17 indexed citations
14.
Yosipof, Abraham, et al.. (2016). Visualization Based Data Mining for Comparison Between Two Solar Cell Libraries. Molecular Informatics. 35(11-12). 622–628. 7 indexed citations
15.
Yosipof, Abraham, et al.. (2015). Data Mining and Machine Learning Tools for Combinatorial Material Science of All‐Oxide Photovoltaic Cells. Molecular Informatics. 34(6-7). 367–379. 35 indexed citations
16.
Yosipof, Abraham, et al.. (2015). A Multi-Objective Genetic Algorithm for Outlier Removal. Journal of Chemical Information and Modeling. 55(12). 2507–2518. 6 indexed citations
17.
Yosipof, Abraham & Hanoch Senderowitz. (2014). Optimization of Molecular Representativeness. Journal of Chemical Information and Modeling. 54(6). 1567–1577. 17 indexed citations
18.
Yosipof, Abraham, Harold Basch, & Shmaryahu Hoz. (2014). Efficiency of electric field catalysis in nucleophilic and electrophilic addition to polyenes. Journal of Physical Organic Chemistry. 27(3). 191–197. 1 indexed citations
19.
Yosipof, Abraham, Harold Basch, & Shmaryahu Hoz. (2013). Metamorphosis of a Transition State into a Stable Species. The Journal of Physical Chemistry A. 117(33). 7737–7741. 1 indexed citations
20.
Yosipof, Abraham, Harold Basch, & Shmaryahu Hoz. (2013). Nucleophilic and Electrophilic Reactions of Polyynes Catalyzed by an Electric Field: Toward Barcoding of Carbon Nanotubes Like Long Homogeneous Substrates. The Journal of Physical Chemistry A. 117(24). 5023–5027. 3 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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