Jason Clemons

37 total papers · 1.6k total citations
21 papers, 741 citations indexed

About

Jason Clemons is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jason Clemons has authored 21 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Jason Clemons's work include Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jason Clemons is often cited by papers focused on Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (9 papers) and Advanced Image and Video Retrieval Techniques (6 papers). Jason Clemons collaborates with scholars based in United States, United Kingdom and Canada. Jason Clemons's co-authors include Stephen W. Keckler, Rangharajan Venkatesan, Joel Emer, Yakun Sophia Shao, Brucek Khailany, Alicia Klinefelter, Nathaniel Pinckney, Matthew Fojtik, Brian Zimmer and Priyanka Raina and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, ACM Transactions on Computer Systems and International Symposium on Microarchitecture.

In The Last Decade

Jason Clemons

21 papers receiving 724 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jason Clemons	415	297	265	169	161	21	741
Divya Mahajan	534 1.3×	266 0.9×	380 1.4×	205 1.2×	210 1.3×	30	866
Paul N. Whatmough	573 1.4×	294 1.0×	241 0.9×	150 0.9×	214 1.3×	31	872
Sek Chai	356 0.9×	349 1.2×	203 0.8×	163 1.0×	183 1.1×	39	764
Jaeha Kung	529 1.3×	300 1.0×	223 0.8×	142 0.8×	228 1.4×	50	812
Stephen G. Tell	611 1.5×	187 0.6×	297 1.1×	190 1.1×	149 0.9×	41	900
Srivatsan Krishnan	294 0.7×	343 1.2×	178 0.7×	151 0.9×	225 1.4×	20	722
Robert Fasthuber	579 1.4×	488 1.6×	217 0.8×	141 0.8×	228 1.4×	17	847
Robert Adolf	426 1.0×	294 1.0×	345 1.3×	190 1.1×	226 1.4×	11	780
Jungwook Choi	359 0.9×	352 1.2×	154 0.6×	111 0.7×	350 2.2×	54	781
Juhyoung Lee	433 1.0×	377 1.3×	115 0.4×	64 0.4×	184 1.1×	44	726

Countries citing papers authored by Jason Clemons

Since Specialization

Citations

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

Fields of papers citing papers by Jason Clemons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Clemons

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

All Works

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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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