Adam Ibrahim

2.0k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

Adam Ibrahim is a scholar working on Spectroscopy, Computational Theory and Mathematics and Physical and Theoretical Chemistry. According to data from OpenAlex, Adam Ibrahim has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Spectroscopy, 5 papers in Computational Theory and Mathematics and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Adam Ibrahim's work include Analytical Chemistry and Chromatography (10 papers), Computational Drug Discovery Methods (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Adam Ibrahim is often cited by papers focused on Analytical Chemistry and Chromatography (10 papers), Computational Drug Discovery Methods (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Adam Ibrahim collaborates with scholars based in United Kingdom, United States and Sweden. Adam Ibrahim's co-authors include Michael H. Abraham, Andreas M. Zissimos, William E. Acree, Yuan H. Zhao, Derek P. Reynolds, John Comer, Marcel J. de Groot, Paul V. Fish, Susan Cole and Xiangli Liu and has published in prestigious journals such as Chemosphere, Journal of Chromatography A and Expert Systems with Applications.

In The Last Decade

Adam Ibrahim

16 papers receiving 1.7k citations

Hit Papers

Determination of sets of ... 2004 2026 2011 2018 2004 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Adam Ibrahim 1.2k 501 410 324 309 16 1.7k
Harpreet S. Chadha 961 0.8× 455 0.9× 323 0.8× 239 0.7× 376 1.2× 15 1.8k
Gary S. Whiting 1.3k 1.1× 356 0.7× 760 1.9× 409 1.3× 341 1.1× 30 2.5k
J. C. McGowan 590 0.5× 208 0.4× 287 0.7× 265 0.8× 148 0.5× 44 1.3k
Oleg A. Raevsky 689 0.6× 905 1.8× 111 0.3× 409 1.3× 545 1.8× 95 2.3k
Mark F. Vitha 683 0.6× 89 0.2× 363 0.9× 157 0.5× 339 1.1× 31 1.1k
George R. Famini 373 0.3× 327 0.7× 85 0.2× 169 0.5× 117 0.4× 42 1.0k
Robert S. Pearlman 320 0.3× 445 0.9× 111 0.3× 136 0.4× 397 1.3× 33 1.1k
Igor A. Sedov 361 0.3× 118 0.2× 245 0.6× 385 1.2× 178 0.6× 88 1.3k
Jung Hag Park 1.0k 0.9× 41 0.1× 701 1.7× 214 0.7× 143 0.5× 65 1.3k
Joelle M. R. Gola 272 0.2× 358 0.7× 194 0.5× 153 0.5× 244 0.8× 22 854

Countries citing papers authored by Adam Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Adam Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Ibrahim

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

All Works

16 of 16 papers shown
1.
Bashivan, Pouya, et al.. (2024). Learning adversarially robust kernel ensembles with kernel average pooling. Expert Systems with Applications. 266. 126017–126017. 1 indexed citations
2.
Ibrahim, Adam & Bruno Ramos Chrcanovic. (2021). Dental Implants Inserted in Fresh Extraction Sockets versus Healed Sites: A Systematic Review and Meta-Analysis. Materials. 14(24). 7903–7903. 17 indexed citations
3.
Abraham, Michael H., Joelle M. R. Gola, Adam Ibrahim, William E. Acree, & Xiangli Liu. (2014). A simple method for estimating in vitro air-tissue and in vivo blood-tissue partition coefficients. Chemosphere. 120. 188–191. 34 indexed citations
4.
Abraham, Michael H., Joelle M. R. Gola, Adam Ibrahim, William E. Acree, & Xiangli Liu. (2013). The prediction of blood–tissue partitions, water–skin partitions and skin permeation for agrochemicals. Pest Management Science. 70(7). 1130–1137. 24 indexed citations
5.
Abraham, Michael H., Adam Ibrahim, & William E. Acree. (2007). Air to lung partition coefficients for volatile organic compounds and blood to lung partition coefficients for volatile organic compounds and drugs. European Journal of Medicinal Chemistry. 43(3). 478–485. 51 indexed citations
6.
Abraham, Michael H., Adam Ibrahim, & William E. Acree. (2007). Air to liver partition coefficients for volatile organic compounds and blood to liver partition coefficients for volatile organic compounds and drugs. European Journal of Medicinal Chemistry. 42(6). 743–751. 68 indexed citations
7.
Abraham, Michael H., Adam Ibrahim, & William E. Acree. (2006). Air to brain, blood to brain and plasma to brain distribution of volatile organic compounds: linear free energy analyses. European Journal of Medicinal Chemistry. 41(4). 494–502. 53 indexed citations
8.
Abraham, Michael H. & Adam Ibrahim. (2006). Air to fat and blood to fat distribution of volatile organic compounds and drugs: Linear free energy analyses. European Journal of Medicinal Chemistry. 41(12). 1430–1438. 57 indexed citations
9.
Abraham, Michael H., Adam Ibrahim, Yuan H. Zhao, & William E. Acree. (2006). A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data. Journal of Pharmaceutical Sciences. 95(10). 2091–2100. 124 indexed citations
10.
Abraham, Michael H., Adam Ibrahim, & William E. Acree. (2006). Air to Muscle and Blood/Plasma to Muscle Distribution of Volatile Organic Compounds and Drugs:  Linear Free Energy Analyses. Chemical Research in Toxicology. 19(6). 801–808. 63 indexed citations
11.
Abraham, Michael H., Adam Ibrahim, & William E. Acree. (2006). Partition of compounds from gas to water and from gas to physiological saline at 310K: Linear free energy relationships. Fluid Phase Equilibria. 251(2). 93–109. 74 indexed citations
12.
Abraham, Michael H. & Adam Ibrahim. (2006). Gas to Olive Oil Partition Coefficients:  A Linear Free Energy Analysis. Journal of Chemical Information and Modeling. 46(4). 1735–1741. 35 indexed citations
13.
Zhao, Yuan H., Michael H. Abraham, Adam Ibrahim, et al.. (2006). Predicting Penetration Across the Blood-Brain Barrier from Simple Descriptors and Fragmentation Schemes. Journal of Chemical Information and Modeling. 47(1). 170–175. 105 indexed citations
14.
Abraham, Michael H., Adam Ibrahim, & William E. Acree. (2005). Air to Blood Distribution of Volatile Organic Compounds:  A Linear Free Energy Analysis. Chemical Research in Toxicology. 18(5). 904–911. 63 indexed citations
15.
Abraham, Michael H., Adam Ibrahim, & Andreas M. Zissimos. (2004). Determination of sets of solute descriptors from chromatographic measurements. Journal of Chromatography A. 1037(1-2). 29–47. 795 indexed citations breakdown →
16.
Abraham, Michael H., Adam Ibrahim, Andreas M. Zissimos, et al.. (2002). Application of hydrogen bonding calculations in property based drug design. Drug Discovery Today. 7(20). 1056–1063. 141 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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