Immanuel Freedman

488 total citations · 1 hit paper
6 papers, 374 citations indexed

About

Immanuel Freedman is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Computer Networks and Communications. According to data from OpenAlex, Immanuel Freedman has authored 6 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Radiology, Nuclear Medicine and Imaging, 1 paper in Surgery and 1 paper in Computer Networks and Communications. Recurrent topics in Immanuel Freedman's work include Radiopharmaceutical Chemistry and Applications (2 papers), Orthopaedic implants and arthroplasty (1 paper) and Neural dynamics and brain function (1 paper). Immanuel Freedman is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (2 papers), Orthopaedic implants and arthroplasty (1 paper) and Neural dynamics and brain function (1 paper). Immanuel Freedman collaborates with scholars based in United States, Netherlands and Greece. Immanuel Freedman's co-authors include Elodie L. Plan, Nidal Al‐Huniti, J. G. Coen van Hasselt, Nicholas H. G. Holford, Mats O. Karlsson, France Mentré, Radojka M. Savić, Diane R. Mould, Andrew C. Hooker and Benjamin Weber and has published in prestigious journals such as Journal of Nuclear Medicine, Progress in Biophysics and Molecular Biology and Journal of Pharmacokinetics and Pharmacodynamics.

In The Last Decade

Immanuel Freedman

5 papers receiving 366 citations

Hit Papers

Model Evaluation of Continuous Data Pharmacometric Models... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Immanuel Freedman United States 5 81 74 65 57 42 6 374
Mindy Magee United States 14 51 0.6× 39 0.5× 47 0.7× 124 2.2× 43 1.0× 41 567
Yasunori Aoki Japan 12 96 1.2× 50 0.7× 19 0.3× 74 1.3× 27 0.6× 36 400
Holly Kimko United States 14 94 1.2× 139 1.9× 31 0.5× 95 1.7× 144 3.4× 38 587
Anne‐Gaëlle Dosne Belgium 8 86 1.1× 99 1.3× 15 0.2× 83 1.5× 66 1.6× 19 406
Annabelle Lemenuel‐Diot Switzerland 11 52 0.6× 80 1.1× 30 0.5× 54 0.9× 175 4.2× 24 487
Teun M. Post Netherlands 9 74 0.9× 61 0.8× 21 0.3× 158 2.8× 32 0.8× 18 551
Valérie Cosson Switzerland 12 157 1.9× 60 0.8× 97 1.5× 154 2.7× 108 2.6× 25 725
Kenneth G. Kowalski United States 11 48 0.6× 50 0.7× 25 0.4× 57 1.0× 25 0.6× 24 526
Jae Eun Ahn United States 10 78 1.0× 90 1.2× 14 0.2× 57 1.0× 38 0.9× 15 532
Matthew M. Hutmacher United States 14 76 0.9× 40 0.5× 31 0.5× 92 1.6× 19 0.5× 31 554

Countries citing papers authored by Immanuel Freedman

Since Specialization
Citations

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

Fields of papers citing papers by Immanuel Freedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Immanuel Freedman

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

All Works

6 of 6 papers shown
1.
Schwartz, Sorell L., et al.. (2019). Estimating parameters of nonlinear dynamic systems in pharmacology using chaos synchronization and grid search. Journal of Pharmacokinetics and Pharmacodynamics. 46(2). 193–210. 15 indexed citations
2.
Oordt, C. Willemien Menke‐van der Houven van, Adam McGeoch, Mats Bergström, et al.. (2019). Immuno-PET Imaging to Assess Target Engagement: Experience from 89Zr-Anti-HER3 mAb (GSK2849330) in Patients with Solid Tumors. Journal of Nuclear Medicine. 60(7). 902–909. 58 indexed citations
3.
Craig, Morgan, et al.. (2018). Chaos synchronization and Nelder-Mead search for parameter estimation in nonlinear pharmacological systems: Estimating tumor antigenicity in a model of immunotherapy. Progress in Biophysics and Molecular Biology. 139. 23–30. 4 indexed citations
4.
McGeoch, Adam, Mats Bergström, O. S. Hoekstra, et al.. (2017). ImmunoPET imaging to assess target engagement: Experience from Zr-89-anti-HER3 mAb (GSK2849330) in patients with solid tumors. Pure Amsterdam UMC. 44. 5 indexed citations
5.
Nguyen, Thi Huyen Tram, Samer Mouksassi, Nicholas H. G. Holford, et al.. (2016). Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics. CPT Pharmacometrics & Systems Pharmacology. 6(2). 87–109. 292 indexed citations breakdown →
6.
Freedman, Immanuel. (2015). Short Note: On an Assyriological Interpretation of the Book of Daniel 5:1-28. The COCOON platform (University of Paris). 11(1). 74–74.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026