Wilfred Gomes

562 total citations
13 papers, 273 citations indexed

About

Wilfred Gomes is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Wilfred Gomes has authored 13 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Hardware and Architecture. Recurrent topics in Wilfred Gomes's work include Advanced Memory and Neural Computing (4 papers), 3D IC and TSV technologies (3 papers) and Advanced Neural Network Applications (3 papers). Wilfred Gomes is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), 3D IC and TSV technologies (3 papers) and Advanced Neural Network Applications (3 papers). Wilfred Gomes collaborates with scholars based in United States, India and United Kingdom. Wilfred Gomes's co-authors include Rajesh Kumar, Frank O’Mahony, D. Ingerly, Amit Ranjan Trivedi, Edward A. Burton, Nasser Kurd, Timothy M. Wilson, Matthew C. Merten, Jonathan Douglas and Lei Jiang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Wilfred Gomes

12 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wilfred Gomes United States	8	194	76	73	31	19	13	273
Milovan Blagojević United States	10	237 1.2×	143 1.9×	83 1.1×	51 1.6×	24 1.3×	12	320
Matheus Cavalcante Switzerland	10	197 1.0×	107 1.4×	99 1.4×	11 0.4×	28 1.5×	34	302
Mastooreh Salajegheh United States	9	160 0.8×	64 0.8×	171 2.3×	33 1.1×	38 2.0×	15	286
Chunseok Jeong South Korea	8	216 1.1×	73 1.0×	52 0.7×	50 1.6×	21 1.1×	11	267
Cécile Belleudy France	7	84 0.4×	76 1.0×	69 0.9×	15 0.5×	12 0.6×	27	185
Daniel Dreps United States	9	309 1.6×	132 1.7×	100 1.4×	38 1.2×	14 0.7×	56	386
David Navarro France	11	276 1.4×	31 0.4×	127 1.7×	57 1.8×	9 0.5×	52	375
Manuel Gericota Portugal	10	189 1.0×	153 2.0×	46 0.6×	30 1.0×	20 1.1×	43	295
Cristina Meinhardt Brazil	11	422 2.2×	103 1.4×	53 0.7×	26 0.8×	23 1.2×	108	466

Countries citing papers authored by Wilfred Gomes

Since Specialization

Citations

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

Fields of papers citing papers by Wilfred Gomes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilfred Gomes

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

All Works

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13 of 13 papers shown

Krishnamurthy, Harish K., Kaladhar Radhakrishnan, Vivek De, et al.. (2024). A 5.4V-Vin, 9.3A/mm² 10MHz Buck IVR Chiplet in 55nm BCD Featuring Self-Timed Bootstrap and Same-Cycle ZVS Control. 1–2.

Pan, Hongyi, et al.. (2024). ADC/DAC-Free Analog Acceleration of Deep Neural Networks With Frequency Transformation. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(6). 991–1003. 2 indexed citations

Gomes, Wilfred. (2023). Beyond Exascale: A Paradigm shift for AI and HPC. 1–4. 5 indexed citations

Fahim, Farah, et al.. (2023). Memory-Immersed Collaborative Digitization for Area-Efficient Compute-in-Memory Deep Learning. 5 indexed citations

Gomes, Wilfred, et al.. (2022). Meteor Lake and Arrow Lake Intel Next-Gen 3D Client Architecture Platform with Foveros. 1–40. 18 indexed citations

Shylendra, Ahish, et al.. (2022). ENOS: Energy-Aware Network Operator Search in Deep Neural Networks. IEEE Access. 10. 81447–81457. 11 indexed citations

Gomes, Wilfred, et al.. (2022). MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. IEEE Transactions on Circuits and Systems I Regular Papers. 70(2). 884–896. 15 indexed citations

Gomes, Wilfred, D. Ingerly, Tejas Shah, et al.. (2022). Ponte Vecchio: A Multi-Tile 3D Stacked Processor for Exascale Computing. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 42–44. 59 indexed citations

Gomes, Wilfred, D. Ingerly, Frank O’Mahony, et al.. (2020). 8.1 Lakefield and Mobility Compute: A 3D Stacked 10nm and 22FFL Hybrid Processor System in 12×12mm², 1mm Package-on-Package. 144–146. 58 indexed citations

10.

Çetin, Ahmet Enis, et al.. (2019). Towards Co-designing Neural Network Function Approximators with In-SRAM Computing. 40–43. 1 indexed citations

11.

Gomes, Wilfred, et al.. (2019). Lakefield: Hybrid cores in 3D Package. 1–20. 11 indexed citations

12.

Kurd, Nasser, Edward A. Burton, Jonathan Douglas, et al.. (2014). 5.9 Haswell: A family of IA 22nm processors. 112–113. 80 indexed citations

13.

Chappell, B.A., Priyadarsan Patra, Prashant Saxena, et al.. (2003). A system-level solution to domino synthesis with 2 GHz application. 164–171. 8 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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