Emil Pitkin
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Machine Learning in Healthcare
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
Papers in
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- Heat shock proteins research 9
-
- Statistical Methods and Inference 5
- Advanced Statistical Methods and Models 4
- Advanced Causal Inference Techniques 2
- Co-authors
- Adam Kapelner (1 shared paper)Alex Goldstein (1 shared paper)Justin Bleich (1 shared paper)Maxim Shevtsov (17 shared papers)B. P. Nikolaev (10 shared papers)А. В. Добродумов (7 shared papers)Gabriele Multhoff (7 shared papers)L. Yakovleva (9 shared papers)
- Journals
- Nanomaterials (2 papers)Neuro-Oncology (2 papers)Small (1 paper)Scientific Reports (1 paper)Neoplasia (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Emil Pitkin
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Health Informatics 52
- Artificial Intelligence 384
- Biomaterials 131
- Statistics and Probability 61
- Environmental Engineering 88
Countries citing papers authored by Emil Pitkin
This map shows the geographic impact of Emil Pitkin'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 Emil Pitkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emil Pitkin more than expected).
Fields of papers citing papers by Emil Pitkin
This network shows the impact of papers produced by Emil Pitkin. 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 Emil Pitkin. The network helps show where Emil Pitkin may publish in the future.
Co-authors
The 25 scholars most cited alongside Emil Pitkin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation Hit paper breakdown → | 2014 | 1105 |
| 2 | 2015 | 61 | |
| 3 | 2015 | 59 | |
| 4 | 2019 | 49 | |
| 5 | 2019 | 45 | |
| 6 | 2014 | 39 | |
| 7 | 2015 | 32 | |
| 8 | 2015 | 26 | |
| 9 | 2015 | 25 | |
| 10 | 2013 | 25 | |
| 11 | 2013 | 16 | |
| 12 | 2015 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2014 | 15 | |
| 15 | Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression | 2014 | 8 |
| 16 | 2014 | 8 | |
| 17 | 2015 | 6 | |
| 18 | Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression | 2015 | 4 |
| 19 | 2024 | 3 | |
| 20 | The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression | 2014 | 3 |
About Emil Pitkin
Emil Pitkin is a scholar working on Molecular Biology, Statistics and Probability, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heat shock proteins research (9 papers), Statistical Methods and Inference (5 papers), Advanced Statistical Methods and Models (4 papers), Radiation Therapy and Dosimetry (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Bone Tissue Engineering Materials (3 papers), PARP inhibition in cancer therapy (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Health Informatics (52 citations), Artificial Intelligence (384 citations), Biomaterials (131 citations), Statistics and Probability (61 citations) and Environmental Engineering (88 citations). Emil Pitkin has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Adam Kapelner, Alex Goldstein, Justin Bleich, Maxim Shevtsov, B. P. Nikolaev, А. В. Добродумов, Gabriele Multhoff, L. Yakovleva, Yaroslav Marchenko and A. Ischenko. Their work appears in journals such as Nanomaterials, Neuro-Oncology, Small, Scientific Reports and Neoplasia.
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.