Damla Senol Cali

1.1k total citations
18 papers, 524 citations indexed

About

Damla Senol Cali is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Damla Senol Cali has authored 18 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Damla Senol Cali's work include Genomics and Phylogenetic Studies (14 papers), Algorithms and Data Compression (11 papers) and Advanced Data Storage Technologies (5 papers). Damla Senol Cali is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Algorithms and Data Compression (11 papers) and Advanced Data Storage Technologies (5 papers). Damla Senol Cali collaborates with scholars based in Switzerland, United States and Türkiye. Damla Senol Cali's co-authors include Onur Mutlu, Saugata Ghose, Can Alkan, Jeremie S. Kim, Mohammed Alser, Can Fırtına, Juan Gómez-Luna, Tianshi Li, Hongyi Xin and Donghyuk Lee and has published in prestigious journals such as Bioinformatics, Briefings in Bioinformatics and IEEE Micro.

In The Last Decade

Damla Senol Cali

16 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damla Senol Cali Switzerland 10 279 154 153 143 99 18 524
Mohammed Alser Switzerland 15 359 1.3× 251 1.6× 208 1.4× 186 1.3× 139 1.4× 41 691
Jeremie S. Kim Switzerland 15 238 0.9× 264 1.7× 291 1.9× 419 2.9× 409 4.1× 26 933
Evangelos Georganas United States 13 169 0.6× 172 1.1× 128 0.8× 111 0.8× 31 0.3× 24 555
Mete Akgün Türkiye 11 163 0.6× 87 0.6× 65 0.4× 52 0.4× 57 0.6× 33 488
S.C. Kothari United States 13 113 0.4× 180 1.2× 110 0.7× 35 0.2× 74 0.7× 44 527
Philip J. Hatcher United States 16 231 0.8× 91 0.6× 333 2.2× 325 2.3× 10 0.1× 46 741
Saul Kravitz United States 12 495 1.8× 48 0.3× 102 0.7× 112 0.8× 118 1.2× 17 848
Sérgio Campos Brazil 14 90 0.3× 63 0.4× 118 0.8× 55 0.4× 13 0.1× 57 440
Silvana Rossetto Brazil 11 135 0.5× 32 0.2× 124 0.8× 19 0.1× 29 0.3× 21 366
Óscar Plata Spain 10 54 0.2× 72 0.5× 188 1.2× 205 1.4× 30 0.3× 66 407

Countries citing papers authored by Damla Senol Cali

Since Specialization
Citations

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

Fields of papers citing papers by Damla Senol Cali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damla Senol Cali. 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 Damla Senol Cali. The network helps show where Damla Senol Cali may publish in the future.

Co-authorship network of co-authors of Damla Senol Cali

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

All Works

18 of 18 papers shown
1.
Kim, Jeremie S., Can Fırtına, Damla Senol Cali, et al.. (2024). AirLift: A Fast and Comprehensive Technique for Remapping Alignments between Reference Genomes. PubMed. PP. 1–9.
2.
Fırtına, Can, Jisung Park, Mohammed Alser, et al.. (2023). BLEND: a fast, memory-efficient and accurate mechanism to find fuzzy seed matches in genome analysis. NAR Genomics and Bioinformatics. 5(1). lqad004–lqad004. 20 indexed citations
3.
Cali, Damla Senol, et al.. (2023). Scrooge: a fast and memory-frugal genomic sequence aligner for CPUs, GPUs, and ASICs. Bioinformatics. 39(5). 9 indexed citations
4.
Fırtına, Can, Damla Senol Cali, Jeremie S. Kim, et al.. (2023). ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-efficient Genome Analysis. ACM Transactions on Architecture and Code Optimization. 21(1). 1–29. 4 indexed citations
5.
Kim, Jeremie S., et al.. (2022). FastRemap: a tool for quickly remapping reads between genome assemblies. Bioinformatics. 38(19). 4633–4635. 3 indexed citations
6.
Mao, Haiyu, Mohammed Alser, Mohammad Sadrosadati, et al.. (2022). GenPIP: In-Memory Acceleration of Genome Analysis via Tight Integration of Basecalling and Read Mapping. 710–726. 15 indexed citations
7.
Ghiasi, Nika Mansouri, Jisung Park, Harun Mustafa, et al.. (2022). GenStore: a high-performance in-storage processing system for genome sequence analysis. 635–654. 44 indexed citations
8.
Ghiasi, Nika Mansouri, Jisung Park, Harun Mustafa, et al.. (2022). GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis. 283–287.
9.
Cali, Damla Senol, Can Fırtına, Lavanya Subramanian, et al.. (2021). GenASM: a high-performance, low-power approximate string matching acceleration framework for genome sequence analysis. Bilkent University Institutional Repository (Bilkent University). 65 indexed citations
10.
Singh, Gagandeep, Mohammed Alser, Damla Senol Cali, et al.. (2021). FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications. IEEE Micro. 41(4). 39–48. 40 indexed citations
11.
Fırtına, Can, Jeremie S. Kim, Mohammed Alser, et al.. (2020). Apollo: a sequencing-technology-independent, scalable and accurate assembly polishing algorithm. Bioinformatics. 36(12). 3669–3679. 30 indexed citations
12.
Ghose, Saugata, et al.. (2019). Demystifying Complex Workload-DRAM Interactions. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 3(3). 1–50. 17 indexed citations
13.
Ghose, Saugata, et al.. (2019). Demystifying Complex Workload-DRAM Interactions. 93–93. 28 indexed citations
14.
Ghose, Saugata, et al.. (2019). Demystifying ComplexWorkload-DRAM Interactions. ACM SIGMETRICS Performance Evaluation Review. 47(1). 93–93. 9 indexed citations
15.
Kim, Jeremie S., Damla Senol Cali, Hongyi Xin, et al.. (2018). GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies. Repository for Publications and Research Data (ETH Zurich). 96 indexed citations
16.
Cali, Damla Senol, Jeremie S. Kim, Saugata Ghose, Can Alkan, & Onur Mutlu. (2018). Nanopore sequencing technology and tools for genome assembly: computational analysis of the current state, bottlenecks and future directions. Briefings in Bioinformatics. 20(4). 1542–1559. 138 indexed citations
17.
Cali, Damla Senol, Jeremie Kim, Saugata Ghose, Can Alkan, & Onur Mutlu. (2017). Nanopore Sequencing Technology and Tools for Genome Assembly: Computational Analysis of the Current State, Bottlenecks and Future Directions. arXiv (Cornell University). 4 indexed citations
18.
Cali, Damla Senol, Jeremie S. Kim, Saugata Ghose, Can Alkan, & Onur Mutlu. (2017). Nanopore Sequencing Technology and Tools: Computational Analysis of the Current State, Bottlenecks, and Future Directions. 2 indexed citations

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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2026