Hamid Krim
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Biophysics top 10%
- Computer Networks and Communications
- Signal Processing top 10%
- Co-authors
- Thanos GentimisRoberto PagliariAnna ScaglioneMaría-José JiménezRocı́o González-Dı́azTerrence J. MooreAnanthram SwamiYang‐Chang Wu
- Topics
- Topological and Geometric Data Analysis (16 papers)Homotopy and Cohomology in Algebraic Topology (6 papers)Digital Image Processing Techniques (3 papers)
- Journals
- IEEE Transactions on Signal ProcessingJournal of Cerebral Blood Flow & MetabolismPattern Recognition
- Partner nations
- United StatesGreeceFrance
In The Last Decade
Hamid Krim
17 papers receiving 300 citations
Peers
Comparison fields: 5 of 57
- Computational Theory and Mathematics 181
- Computer Vision and Pattern Recognition 50
- Biophysics 46
- Computer Networks and Communications 45
- Signal Processing 44
Countries citing papers authored by Hamid Krim
This map shows the geographic impact of Hamid Krim'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 Hamid Krim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Krim more than expected).
Fields of papers citing papers by Hamid Krim
This network shows the impact of papers produced by Hamid Krim. 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 Hamid Krim. The network helps show where Hamid Krim may publish in the future.
Co-authorship network of co-authors of Hamid Krim
This figure shows the co-authorship network connecting the top 25 collaborators of Hamid Krim. A scholar is included among the top collaborators of Hamid Krim 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 Hamid Krim. Hamid Krim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | Introduction to the Special Session on Topological Data Analysis | 0 |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 46 | |
| 7 | 15 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 83 | |
| 11 | 23 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 19 | |
| 16 | 49 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 3 |
About Hamid Krim
Hamid Krim is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Biophysics, having authored 19 papers that have together received 313 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (16 papers), Homotopy and Cohomology in Algebraic Topology (6 papers) and Digital Image Processing Techniques (3 papers). The work is most often cited by research in Computational Theory and Mathematics (181 citations), Biophysics (46 citations) and Signal Processing (44 citations). Hamid Krim has collaborated with scholars based in United States, Greece and France. Frequent co-authors include Thanos Gentimis, Roberto Pagliari, Anna Scaglione, María-José Jiménez, Rocı́o González-Dı́az, Terrence J. Moore, Ananthram Swami, Yang‐Chang Wu, Hongyu An and Weili Lin. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Cerebral Blood Flow & Metabolism and Pattern Recognition.
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.