Chase Krumpelman

797 citations
9 papers · 218 · h-index 4

Impact in

Papers in

    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 2
    • Acute Ischemic Stroke Management 2

Chase Krumpelman

8 papers receiving 202 citations

Peers

Chase Krumpelman
Comparison fields: 5 of 68
  • Computational Mathematics 3
  • Artificial Intelligence 96
  • Signal Processing 29
  • Statistical and Nonlinear Physics 26
  • Aging 3
Replace Beatriz Pontes with:
Beatriz Pontes Spain
Raúl Giráldez Spain
Mostofa Patwary United States
Maria A. Tsiarli United States
Guosheng Gu China
Mugizi Robert Rwebangira United States
Mojtaba Nayyeri Germany
Shunxin Xiao China
Jüri Lember Estonia
Bernhard Sch lkopf Germany
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Citations per field
00.5×1.7×
Beatriz Pontes · 1×
Citations per year

Countries citing papers authored by Chase Krumpelman

Since Specialization
Citations

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

Fields of papers citing papers by Chase Krumpelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chase Krumpelman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chase Krumpelman Line = papers co-authored together Chase Krumpelman links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005128
2 200860
3 201314
4 201210
5 20073
6 20241
7 20121
8 20121
9 20250

About Chase Krumpelman

Chase Krumpelman is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Statistics, Probability and Uncertainty and Rehabilitation, having authored 9 papers that have together received 218 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (2 papers), Bioinformatics and Genomic Networks (2 papers), Meta-analysis and systematic reviews (2 papers), Gene expression and cancer classification (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Data Management and Algorithms (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Computational Mathematics (3 citations), Artificial Intelligence (96 citations), Signal Processing (29 citations), Statistical and Nonlinear Physics (26 citations) and Aging (3 citations). Chase Krumpelman has collaborated with scholars based in United States. Frequent co-authors include Joydeep Ghosh, Raymond J. Mooney, Arindam Banerjee, Sugato Basu, Wankyu Kim, Edward M. Marcotte, Pitchaiah Mandava, Thomas A. Kent, Santosh B. Murthy and Jharna N. Shah. Their work appears in journals such as Stroke, Genome biology, Translational Stroke Research, Magnetic Resonance in Medicine and Tomography.

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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