Tahsin Kurç

10.7k total citations · 2 hit papers
219 papers, 4.9k citations indexed

About

Tahsin Kurç is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Tahsin Kurç has authored 219 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Networks and Communications, 73 papers in Artificial Intelligence and 51 papers in Information Systems and Management. Recurrent topics in Tahsin Kurç's work include Distributed and Parallel Computing Systems (79 papers), AI in cancer detection (54 papers) and Scientific Computing and Data Management (51 papers). Tahsin Kurç is often cited by papers focused on Distributed and Parallel Computing Systems (79 papers), AI in cancer detection (54 papers) and Scientific Computing and Data Management (51 papers). Tahsin Kurç collaborates with scholars based in United States, Brazil and Türkiye. Tahsin Kurç's co-authors include Joel Saltz, Alan Sussman, Le Hou, Joel Saltz, Ümit V. Çatalyürek, Dimitris Samaras, Yi Gao, Ashish Sharma, James Davis and Michael D. Beynon and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

Tahsin Kurç

212 papers receiving 4.8k citations

Hit Papers

Patch-Based Convolutional Neural Network for Whole Slide ... 2016 2026 2019 2022 2016 2020 100 200 300 400 500

Peers

Tahsin Kurç
Comparison fields: 5 of 162
  • Artificial Intelligence 2.0k
  • Computer Networks and Communications 1.3k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Computer Vision and Pattern Recognition 1.1k
  • Molecular Biology 613
Replace Joel Saltz with:
Joel Saltz United States
Jun Kong United States
Ce Zhang Switzerland
Alexander Binder Germany
Bernd Freisleben Germany
Bryan Catanzaro United States
Yang Gao China
Metin N. Gürcan United States
D.P. Huttenlocher United States
Ulf Leser Germany
Joel Saltz United States View profile →
Citations per field, relative to Tahsin Kurç
Tahsin Kurç · 1×
Citations per year, relative to Tahsin Kurç
Tahsin Kurç · 1×

Countries citing papers authored by Tahsin Kurç

Since Specialization
Citations

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

Fields of papers citing papers by Tahsin Kurç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tahsin Kurç

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 36
3 73
4 73
5 33
6
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification.
30
7
Temporal abstraction-based clinical phenotyping with Eureka!
12
8
Clinical Phenotyping with the Analytic Information Warehouse.
1
9 35
10 179
11 18
12 17
13 5
14 21
15
DBOWL: Towards extensional queries on a billion statements using relational databases
1
16
A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies: Research Articles
1
17
A Hypergraph-Based Workload Partitioning Strategy for Parallel Data Aggregation.
22
18
DataCutter: Middleware for Filtering Very Large Scientific Datasets on Archival Storage Systems
114
19
Coupling Multiple Simulations via a High Performance Customizable Database System.
23
20
Efficient Parallel Maze Routing Algorithms on a Hypercube Multicomputer.
2

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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