Yaman Umuroglu

832 total citations
12 papers, 457 citations indexed

About

Yaman Umuroglu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Yaman Umuroglu has authored 12 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Hardware and Architecture. Recurrent topics in Yaman Umuroglu's work include Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Yaman Umuroglu is often cited by papers focused on Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (5 papers) and CCD and CMOS Imaging Sensors (4 papers). Yaman Umuroglu collaborates with scholars based in Norway, United States and Australia. Yaman Umuroglu's co-authors include Michaela Blott, Nicholas J. Fraser, Kees Vissers, Giulio Gambardella, Thomas B. Preußer, Miriam Leeser, Kenneth M. O'Brien, Magnus Själander, Magnus Jahre and Donn Morrison and has published in prestigious journals such as IEEE Transactions on Computers, Microprocessors and Microsystems and ACM Transactions on Reconfigurable Technology and Systems.

In The Last Decade

Yaman Umuroglu

12 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaman Umuroglu Norway	8	265	229	160	122	75	12	457
Giulio Gambardella Italy	12	233 0.9×	301 1.3×	152 0.9×	171 1.4×	77 1.0×	28	537
Hongxiang Fan United Kingdom	16	284 1.1×	211 0.9×	228 1.4×	70 0.6×	35 0.5×	43	541
Ahmad Shawahna Saudi Arabia	4	155 0.6×	166 0.7×	127 0.8×	60 0.5×	56 0.7×	5	354
Guohao Dai China	10	160 0.6×	199 0.9×	157 1.0×	113 0.9×	84 1.1×	46	432
David Sheffield United States	8	196 0.7×	235 1.0×	171 1.1×	212 1.7×	147 2.0×	14	552
Xuegong Zhou China	11	253 1.0×	305 1.3×	119 0.7×	189 1.5×	99 1.3×	42	537
Andrew Boutros Canada	13	177 0.7×	280 1.2×	103 0.6×	241 2.0×	102 1.4×	29	529
Nicholas J. Fraser Australia	7	187 0.7×	198 0.9×	138 0.9×	72 0.6×	41 0.5×	18	374
Shuanglong Liu United Kingdom	14	250 0.9×	200 0.9×	199 1.2×	57 0.5×	46 0.6×	34	486
Junbin Wang China	6	329 1.2×	277 1.2×	153 1.0×	53 0.4×	30 0.4×	8	487

Countries citing papers authored by Yaman Umuroglu

Since Specialization

Citations

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

Fields of papers citing papers by Yaman Umuroglu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaman Umuroglu

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

All Works

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12 of 12 papers shown

Umuroglu, Yaman, et al.. (2021). Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning. ACM Transactions on Reconfigurable Technology and Systems. 15(2). 1–34. 26 indexed citations

Umuroglu, Yaman, et al.. (2020). High-Throughput DNN Inference with LogicNets. 238–238. 2 indexed citations

Blott, Michaela, Nicholas J. Fraser, Giulio Gambardella, et al.. (2020). Evaluation of Optimized CNNs on Heterogeneous Accelerators using a Novel Benchmarking Approach. IEEE Transactions on Computers. 1–1. 12 indexed citations

Umuroglu, Yaman, et al.. (2019). Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. ACM Transactions on Reconfigurable Technology and Systems. 12(3). 1–24. 13 indexed citations

Blott, Michaela, Thomas B. Preußer, Nicholas J. Fraser, et al.. (2018). FINN- R. ACM Transactions on Reconfigurable Technology and Systems. 11(3). 1–23. 242 indexed citations

Umuroglu, Yaman, et al.. (2018). BISMO: A Scalable Bit-Serial Matrix Multiplication Overlay for Reconfigurable Computing. 307–3077. 70 indexed citations

Blott, Michaela, Nicholas J. Fraser, Giulio Gambardella, et al.. (2017). Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. abs 1602 2830. 419–422. 5 indexed citations

Fraser, Nicholas J., Yaman Umuroglu, Giulio Gambardella, et al.. (2017). Scaling Binarized Neural Networks on Reconfigurable Logic. BIBSYS Brage (BIBSYS (Norway)). 25–30. 34 indexed citations

Umuroglu, Yaman & Magnus Jahre. (2017). Towards efficient quantized neural network inference on mobile devices. 1–2. 4 indexed citations

10.

Umuroglu, Yaman & Magnus Jahre. (2016). Random access schemes for efficient FPGA SpMV acceleration. Microprocessors and Microsystems. 47. 321–332. 3 indexed citations

11.

Umuroglu, Yaman, Donn Morrison, & Magnus Jahre. (2015). Hybrid breadth-first search on a single-chip FPGA-CPU heterogeneous platform. 1–8. 30 indexed citations

12.

Umuroglu, Yaman & Magnus Jahre. (2014). An energy efficient column-major backend for FPGA SpMV accelerators. 432–439. 16 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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