Daniel A. Jiménez

3.1k citations
94 papers · 2.1k indexed · h-index 24

Daniel A. Jiménez

85 papers receiving 1.9k citations

Peers

Daniel A. Jiménez
Comparison fields: 5 of 67
  • Hardware and Architecture 1.7k
  • Computer Networks and Communications 1.5k
  • Information Systems 335
  • Electrical and Electronic Engineering 608
  • Artificial Intelligence 301
Replace Jihong Kim with:
Jihong Kim South Korea
Adrian M. Caulfield United States
Mithuna Thottethodi United States
Nikos Hardavellas United States
Michael Papamichael United States
Derek Chiou United States
Trevor E. Carlson Singapore
Stefanos Kaxiras Sweden
Dionisios Pnevmatikatos Greece
Edmund B. Nightingale United States
Daniel A. Jiménez relative to Jihong Kim South Korea Jihong Kim's profile →
Citations per field
00.5×1.5×2.2×
Jihong Kim · 1×
Citations per year

Countries citing papers authored by Daniel A. Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Jiménez. 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 Daniel A. Jiménez. The network helps show where Daniel A. Jiménez may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Daniel A. Jiménez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel A. Jiménez Line = papers co-authored together Daniel A. Jiménez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20231
5 20203
6 20200
7 20195
8 20189
9 201630
10 201319
11 20131
12 201127
13 201058
14
Idealized Piecewise Linear Branch Prediction
200514
15 200540
16 20051
17 20040
18 200347
19 20026
20 20016

About Daniel A. Jiménez

Daniel A. Jiménez is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (80 papers), Advanced Data Storage Technologies (57 papers), Interconnection Networks and Systems (21 papers), Cloud Computing and Resource Management (16 papers), Ferroelectric and Negative Capacitance Devices (14 papers), Low-power high-performance VLSI design (11 papers), Advanced Memory and Neural Computing (9 papers) and Semiconductor materials and devices (5 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Computer Networks and Communications (1.5k citations), Information Systems (335 citations), Electrical and Electronic Engineering (608 citations) and Artificial Intelligence (301 citations). Daniel A. Jiménez has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Calvin Lin, Samira Khan, Yingying Tian, Elvira Teran, Paul V. Gratz, Zhe Wang, Stephen W. Keckler, Doug Burger, Yuan Xie and Cong Xu. Their work appears in journals such as IEEE Computer Architecture Letters, ACM SIGPLAN Notices, ACM Transactions on Computer Systems, IEEE Transactions on Computers and IEEE Micro.

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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